TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including San Jose, Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imagination thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

The Growth team plays a core role in acquisition, activation, and retention of billions of users, through our globally popular products such as TikTok, Lemon8, CapCut, etc. We are building platform foundations, leveraging data and ML models, and providing end-to-end solutions to power global growth of products.

You will:

- Design and apply machine learning algorithm and product strategies to user growth methods to expand product impact as well as improve users' experiences;

- Understand user growth instruments and use data and machine learning algorithms or other strategies to make it thrive;

- Responsible for target audience, automated material production, advertising automation optimization and other related algorithm strategies

- Conduct offline and online experiments, analyze according data and evaluate to improve algorithms and strategies;

- Work with product and DEs, DAs, and other engineers to deliver features to drive the user growth of products.

Qualifications

Minimum Qualifications

1. Excellent coding skills and solid data structure and algorithm skills, proficient in python / C++ and other development languages;

2. Familiar with common Machine Learning tools and Deep learning programming frameworks ( Tensorflow / PyTorch / Scikit-learn / XGBoost , etc.);

3. Relevant algorithm experience in search, recommendation, advertising and other related fields, user growth experience is better;

4. Excellent analytical and problem-solving skills, with a passion for solving challenging problems.

Preferred Qualifications

1. Passion for technology, good communication skills and team spirit

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

• Role: Fulfilment Officer [ Bank Processing ]
• Working Location: Mapletree Business City (Pasir Panjang / Labrador MRT)
• 5Days Mon to Fri 9am to 6pm
• Basic Salary: $2500

Responsibilities & Duties:

1. Do follow ups calls to clients
2. Assist them to submit their applications through bank system
3. Follow up pending documents with clients and processing team
4. Submit end day report to the management
5. Objection handlings
6. Work closely with relevant departments to resolve clients’ issues and concerns
7. Products and systems training will be provided
8. Training provided

#SCR-carson-cheong

⭕ Cheong Kar Chun ⭕ Team Manager ⭕ R1980386

⭕ The Supreme HR Advisory ⭕ 14C7279

About Synechron:

Synechron Singapore is a leading consulting and technology services firm specializing in the financial services sector. Our Singapore office focuses on delivering innovative digital transformation solutions to top-tier banks, insurers, and capital markets. We cultivate a diverse and inclusive environment where talent thrives, offering opportunities for professional growth and development. With access to cutting-edge technologies, our teams work collaboratively to create impactful solutions that enhance operational efficiency and customer experiences. Synechron Singapore is committed to excellence and actively engages in community initiatives, making a positive impact in the region. Join us to shape the future of financial services and technology

Your Role

As a Lead Data Engineer, you will play a leading role in designing, building, and optimizing our data infrastructure, ensuring that it supports the advanced analytics need of the bank. You will oversee a team of data engineers, working closely with data analysts, DevOps team, infrastructure engineers, and other stakeholders to deliver high-quality data solution.

Your main responsibilities will include:

• Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data.
• Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data.
• Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch.
• Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions.
• Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques.
• Optimize data engineering workflows for containerized deployment and efficient resource utilization.
• Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability.
• Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements.
• Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure.
• Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference.
• Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps.
• Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank.

Requirements

• Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field.
• At least 6+ years of experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments.
• Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Ranger, etc)
• Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes.
• Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java.
• Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
• Experience with Grafana, Prometheus, Splunk will be an added benefit
• Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges.
• Excellent collaboration and communication skills to work effectively with cross-functional teams.
• Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus.

At Synechron, we recognize that diversity is essential to our success. We are committed to fostering an inclusive environment where all employees feel valued and empowered to share their unique perspectives. We embrace differences in race, ethnicity, gender, sexual orientation, age, religion, disability, and cultural background, understanding that these attributes enrich our workplace and enhance our service to clients.

Our initiatives aim to promote equal access to opportunities and ensure that diverse voices are heard. By championing diversity and inclusion, we strengthen our ability to innovate and meet the challenges of the financial services industry

As a marketing data analyst with a strong background in data analysis, you will report to the Head of Digital Marketing in MSIG Asia. You will work with local marketing teams in business units (BUs), which are insurance companies in countries and territories in the region, to analyse customer data, identify marketing opportunities, and track campaign status. You will play a pivotal role in bridging the gap between raw data and strategic marketing actions. With your expertise in marketing analytics, you will support campaign design and execution, reporting and tracking end-to end campaign funnel, and reviewing campaign effectiveness.

Key Responsibilities

• Data Analysis & Insights: Use data to uncover actionable insights, optimise campaigns, and inform strategic decisions across our marketing initiatives.
• Campaign Optimisation: Develop and apply data models to optimise performance marketing channels (e.g., social media, email campaigns, website analytics). Monitor and evaluate the effectiveness of marketing campaigns.
• Reporting & Visualisation: Utilise statistical tools and techniques to analyse data and generate actionable insights. Provide insights and recommendations to improve customer acquisition, retention, and engagement.
• Collaboration: Partner closely with marketing teams in the BUs in the region to design and implement data-driven marketing strategies and integrate data insights into business strategies.
• Customer Segmentation: Leverage customer data to drive segmentation strategies and targeted marketing efforts, focusing on personalisation and customer journey enhancements.

Requirements

• 7+ years' experience working within a similar role in digital marketing with a focus on data analytics in any consumer products and service industry is required. Solid understanding of digital marketing channels, metrics, and optimisation techniques.
• Proficiency in data analytics and visualisation tools (Excel, Google Analytics, Power BI, Tableau, etc.)
• Experience with SQL, Python is a plus
• Familiarity with CRM systems (e.g., MS Dynamics, Salesforce)
• Understanding of insurance or financial marketing principles and practices is preferred.
• Experience working with large datasets and knowledge of data warehousing.
• Ability to understand a system architecture, a company system architecture and the best practices of other companies, and to consider and promote sustainable architecture.
• Knowledge of statistics required to understand and utilise internal and external data. This includes understanding testing and statistical analysis methods, as well as having practical knowledge to optimally apply these methods.
• Ability to transform complex data into actionable insights that drive business decisions.
• Strong communication skills, with the ability to present findings and recommendations to non-technical stakeholders.
• Team player with the ability to collaborate cross-functionally and lead cross-functional projects.
• Highly organised and detail-oriented, with strong problem-solving skills and ability to adapt to deadlines.

ViSenze, an AI-powered Commerce Search and Discovery platform, is looking to hire a motivated and experienced Senior Data Scientist

We revolutionize the retail industry with product discovery solutions, processing over a billion monthly queries globally from retailers such as Myntra, Ajio, Meesho, Rakuten, Zalora, Mango, and Target

Our mission is to empower customers to 'See. Style. Shop', and we need you to help us continue to deliver this promise

Responsibilities

• Understand complex real-world problems and leverage domain knowledge to develop reliable models
• Strategize ways of constructing training datasets that are representative, diverse and free of bias
• Continuously review model performance with sharp analytical skills, identify potential issues and improve them iteratively
• Optimize workflows and processes, as well as develop useful tools to boost the efficiency and scalability of routine tasks
• Provide requirements for new or existing internal tools to improve internal analytical capabilities, pipelines and platforms
• Be an expert in communicating insights and recommendations to audiences of varying levels of technical sophistication

Requirements

• Bachelor’s degree in Computer Science, Electronic Engineering, Statistics, Applied Mathematics, Operation Research, or a related quantitative Bachelor’s or Master’s degree
• At least 2 years of experience with building machine learning and predictive model
• Familiar with Python is a must
• Familiar with essential data science libraries, including Pandas, Numpy, Scipy, Scikit-Learn and Matplotlib
• Sound knowledge of popular deep learning frameworks, such as PyTorch, TensorFlow, MXNet, Caffe, etc
• Strong problem-solving mindset, down-to-earth attitude, passion for machine learning and everlasting curiosity to learn

Good to Have

• Excellent communication skills - able to present their findings and models to senior stakeholders
• Experience in deploying models and systems into production environments
• Knowledge of golang
• Experience with developing Deep Convolutional Neural Networks (CNN)
• Familiar with Software Development Life Cycle (SDLC)
• Fluent in Data Visualization

The Data Center Engineer will focus on the installation, maintenance, and management of data center hardware and infrastructure. This role is responsible for monitoring hardware performance, maintaining an accurate inventory of data center equipment, and coordinating with vendors for procurement, repairs, and warranty services. The technician will ensure that all hardware operations support uptime requirements and efficiency across the data center.

• Hardware Installation & Maintenance: Install, configure, and decommission servers, storage devices, network equipment, and other hardware as required. Conduct regular maintenance, diagnostics, and troubleshooting of hardware systems to ensure optimal performance and reliability. Coordinate and perform hardware upgrades or replacements to maintain up-to-date infrastructure.
• Vendor Coordination & Management:Engage with vendors to source, order, and manage hardware procurement, ensuring timely delivery and installation. Handle vendor communications for equipment maintenance, repairs, and warranty claims. Review and evaluate vendor performance, track service agreements, and escalate issues as needed.
• Data Center Operations Support:Perform regular walk-throughs and visual inspections to ensure hardware and environment meet operational standards. Monitor power and cooling systems, coordinate with facility teams for any required adjustments to environmental conditions. Ensure data center hardware setups align with SLAs and availability targets, reducing downtime risks.
• Documentation & Reporting:Keep thorough records of installations, repairs, configurations, and hardware movements within the data center. Develop and maintain SOPs for hardware management, vendor coordination, and inventory procedures. Generate and present regular reports on inventory levels, vendor issues, and hardware performance metrics.
• Security & Compliance:Ensure compliance with security protocols and data center access policies, managing hardware-related security aspects. Support periodic audits for physical security and inventory management to align with company standards and regulations.

Qualifications:

• Education: Associate’s or Bachelor’s degree in Information Technology, Computer Science, or related field (preferred but not required)
• Experience: 1-3 years of experience in data center hardware management, IT infrastructure, or a similar role.
• Certifications: CompTIA A+, Server+, or other relevant certifications (preferred).

Skills:

• Hardware Expertise: Strong understanding of servers, storage devices, networking hardware, and related data center infrastructure.
• Inventory Management: Experience in tracking and managing inventory levels, procurement processes, and forecasting needs.
• Vendor Relations: Ability to effectively manage vendor relationships and coordinate hardware delivery, maintenance, and warranty services.

As a Facility Manager, you will maintain, operate, and troubleshoot, with the assistance of the site engineering operations team, the mission-critical data center facility equipment including electrical support equipment such as stand-by diesel generators and related fuel systems, 3 phase electrical systems that include but not limited to switchgear, UPS units, PDUs, and wet cell batteries and associated systems. Mechanical equipment includes CRAC units, centrifugal chillers, cooling towers/water chemical system, air handlers and associated systems, pumps, and motors. We have a passion for learning and evolving, it’s how we have helped define ourselves as leaders in the industry.

Key job responsibilities
• Oversee all aspects of the data center’s critical physical infrastructure. Maintain high availability and performance while ensuring that all work performed within the site is done to high quality without impact to internal/external customers and maintain service level agreements.

• Lead and manage budgeting and procurement for Data Center’s related goods and services.
• Manage teams of 24x7 engineering team in all facets of their career. Prioritize and assign tasks to data center technicians and operators, manage projects, coach and create documentation. Guide, train and educate staff on best practices related to all service owner issues.
• Effectively and efficiently manage the operations budget and expenditures.
• Engage in improvement projects, often requiring reaching out to a variety of support teams, and drive them from conception to completion.
• Coordinates daily with a multitude of third party vendors ensuring adherence to contracted SLAs.
• Communicate complex technical information to a non-technical audience.
• Respond to out-of-hours emergency calls.
• Is the second level escalation points for Data Center facilities related issues/failures.
• Act as an escalation point for all facilities-related issues. Oversee operation and management of routine and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc.
• Ensure all safety procedures are adhered to while performing work.
• Manage emergency situations and lead emergency response team.
• Test quality, performance, safety, and reliability of products, equipment and processes.
• Perform extended site rounds that could include long distances of walking and long periods of time being away from a desk.
• Role may support more than one location/site.
• Manage talent acquisition process and people development for DCEO organization.

About the Role

We are seeking a highly skilled and detail-oriented Data Management Specialist to join our dynamic team. This role is ideal for individuals with a strong background in data management, analytics, and engineering, particularly within the investment and banking industries. You will work closely with diverse stakeholders to design, implement, and maintain robust data lifecycle solutions.

Key Responsibilities

• Collaborate with business users (e.g., research analysts, quantitative strategists) and technical teams (e.g., data engineers, data scientists) to develop and support data lifecycle solutions such as data onboarding and distribution.
• Validate and contribute to the design of lifecycle data solutions to ensure alignment with business and operational needs.
• Oversee day-to-day operations, including metadata collation, analysis of system operations data (e.g., data quality metrics), and data distribution service usage.
• Perform data access control operations, ensuring compliance with enterprise data governance and handling standards.
• Serve as the Center of Excellence for common data lifecycle services by defining standards, best practices, and workflow processes to improve operations and ensure compliance.
• Monitor, analyze, investigate, and resolve operational incidents while providing advisory support to users.
• Continuously identify opportunities for improvement in processes and operations.
• Build and maintain strong stakeholder relationships to support current and future data lifecycle needs.

Mandatory Skills and Qualifications

• Education: Degree in Accounting, Finance, Engineering, Computer Science, Information Technology, or a related field from a recognized tertiary institution.
• Experience: Minimum 5 years in data management, analytics, or engineering, preferably within the investment or banking industries.
• Technical Expertise:Strong knowledge of data management principles, key controls, and processes, including data integration and distribution.
  Proficiency in programming languages such as Python, Java, and SQL.
  Familiarity with data visualization tools (e.g., Tableau, Power BI) and virtualization technologies (e.g., Denodo) is a plus.
  

Skills:

• Meticulous and detail-oriented with a strong focus on operational accuracy.
• Proven ability to design and implement solutions and conduct code reviews.
• Excellent written and verbal communication skills.
• Strong interpersonal skills to interact effectively with diverse stakeholders.
• Agile and quick to learn, with the ability to adapt to changing environments.
• Strong analytical skills and a passion for solving complex problems.
• Experience with SDLC implementation methodologies and/or Agile frameworks like Scrum and Kanban.

EA License: R1873481

Company EA License: 11C4879

Company Overview:

Traveloka is a leading technology company that provides a one-stop travel and lifestyle platform for customers in Southeast Asia. Our platform offers a wide range of travel-related services, including flight and hotel bookings, activities, attractions, and more. With a mission to empower travelers with seamless experiences, we're committed to pushing the boundaries of technology and innovation in the travel industry.

It's fun to work in a company where people truly BELIEVE in what they're doing!

Job Description

About the role:

We seek a visionary and experienced Data Manager to head the Financing products analytics team. In this leadership role, you will build and manage a high-performing data team that provides data-driven insights and support to our Financing products business groups. You will be pivotal in developing and implementing data strategies that maximize user acquisition, improve conversion rates, and ensure responsible financial practices across both verticals.

Responsibilities:

• Lead and manage a team of data analysts, ensuring their skills and expertise cater to the specific needs of the Financing products team.
• Partner with Financing products commercial stakeholders (e.g., Marketing, Sales, Product) to understand their unique business objectives and translate them into actionable data requests.
• Develop and implement a unified data strategy for financing activities aligned with company objectives.
• Design, build, and maintain data pipelines and dashboards to track key performance indicators (KPIs) for user acquisition, conversion, transaction behavior, credit risk (PayLater), insurance economics, and fraud
• Conduct in-depth data analysis to identify trends, growth opportunities, and improvement areas in user acquisition, conversion, risk management, and product development (for Financing products).
• Leverage data to inform credit risk modeling for PayLater and actuarial modeling for insurance, ensuring responsible lending and product offerings.
• Communicate complex data insights in a clear, concise, and actionable way to both technical and non-technical audiences.
• Stay up-to-date on the latest data science trends and technologies relevant to the FinTech and insurance industries, and implement tools to enhance Financing products analytics capabilities.
• Foster a collaborative and data-driven culture within the Financing products teams.

‎

Requirements:

• Minimum 7+ years of experience in a data leadership role, preferably within the financial technology industry.
• Proven experience in managing and mentoring data analysts.
• Strong understanding of data analysis methodologies, including SQL, statistics, and machine learning (a plus).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Experience working with data pipelines and cloud platforms (e.g., GCP) (a plus).
• Excellent communication and presentation skills, with the ability to translate complex data insights into clear and actionable recommendations for non-technical audiences.
• Strong leadership skills, with the ability to motivate and inspire a team.
• Strategic thinking and problem-solving skills.
• A passion for the travel industry and a deep understanding of online travel agent (OTA) business models (a plus).

‎

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

• The researcher will assist PI in developing innovative algorithms to model and predict the failures in the spatial temporal distributed systems. Programming is required, with skills in scientific computing.

Job Requirements

At least 3-4 years experience in research; track records in publishing top research paper; experience in programming

About The Role

Goldman Sachs employs thousands of engineers across many divisions. We write software that powers every aspect of our business. It's no surprise that we collect and analyze vast amounts of data relating to the the efficiency of our development processes, the value that we drive through software, and the effectiveness of how we leverage our internal tooling and services to empower development. Our data allows our internal businesses to optimize, focus their attention and manage costs. It allows us to assess the impact and performance of developer productivity initiatives, cost saving initiatives, and manage our huge software inventory.

What We Need

We are seeking a highly skilled Data Software Engineer to design, implement, and maintain robust data systems and pipelines that empower our organization to leverage data effectively. The ideal candidate will come from a software engineering background, with commercial development experience in one or more object-oriented languages (Python, Go, Java, C#). Knowledge of data modeling, pipeline construction, data normalization and sanitization, and data governance would be highly advantageous.

They will collaborate with cross-functional teams to ensure the availability, quality, and security of data to support business objectives.

Key Responsibilities

1. Data Pipeline DevelopmentDesign, build, and maintain scalable and efficient data pipelines for processing and transforming large datasets.
   Ensure pipelines are optimized for reliability and performance.
   
2. Data Modeling and ArchitectureDevelop and maintain logical and physical data models tailored to business needs.
   Optimize data storage solutions for scalability and performance.
   
3. Data Quality and SanitizationImplement processes for data normalization, deduplication, and cleaning to ensure high-quality datasets.
   Identify and resolve data inconsistencies, errors, and anomalies.
   
4. Data Governance and SecurityEstablish and enforce data governance standards, including policies for data access, compliance, and privacy.
   Implement security measures to protect sensitive data and ensure compliance with regulatory requirements.
   
5. Monitoring and OptimizationDevelop monitoring solutions to ensure the health and reliability of data pipelines and systems.
   Continuously optimize performance, storage, and costs of data infrastructure.
   

Qualifications

• Education:Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
  
• Experience:3+ years of experience in software engineering, data engineering or a related role.
  Proven experience with data modeling, ETL/ELT pipelines, and data architecture design.
  Proficiency in programming languages such as Python, Java, or Scala.
  Strong knowledge of SQL and relational databases (e.g., PostgreSQL, Sybase, SQL Server).
  
• Desirable Technical Skills:Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure).
  Familiarity with data integration tools (e.g., Apache Airflow, Talend, Informatica) and streaming technologies (e.g., Kafka, Flink).
  Experience with data warehouse technologies (e.g., Snowflake, Redshift, BigQuery).
  
• Soft Skills:Strong analytical and problem-solving abilities.
  Effective communication and collaboration skills to work with diverse teams.
  Attention to detail and a proactive approach to ensuring data integrity.
  

Preferred Qualifications

• Experience in conforming to data governance frameworks.
• Knowledge of data lake architectures and unstructured data processing.
• Familiarity with machine learning workflows and AI-driven data applications.
• Certifications in relevant technologies (e.g., AWS Certified Data Analytics, Google Professional Data Engineer).

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2023. All rights reserved.

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

Senior Data Engineer ( Informatica and MS Fabric )

Job Requirement:

• Data Engineers with experience in Informatica, Microsoft Fabric typically have responsibilities centered around designing, implementing, and managing data pipelines and architectures that support data integration, transformation, and analytics within a cloud-based or hybrid environment.
• Design and implement ETL (Extract, Transform, Load) workflows using Informatica PowerCenter, Informatica Cloud, or Informatica Intelligent Cloud Services (IICS)
• Build and manage ETL and ELT data pipelines using Azure Data Factory (ADF) to orchestrate data movement and transformation across on-premises and cloud environments.
• Create and optimize Spark-based data pipelines in Databricks, using notebooks or jobs to ingest, clean, and transform large datasets for analytics and reporting.
• Work with Microsoft Fabric to integrate and manage dataflows, datasets, and transformation processes across its unified data platform, helping build scalable data pipelines.

Thanks, and Best Regards

Karanam Vijaya Kiran

(EA Registration no: R1443178)

Recruitment Manager

Hand Phone: +65 92333815

Helius Technologies Pte Ltd (EA Licence No: 11C3373)

The exceptional EY experience. It's yours to build.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity:

EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for a Data Engineer within the DnA team in our Singapore office. This role is offered on a flexible full time basis.

Your key responsibilities:

• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
• Develop and implement techniques and analytics applications to transform raw data into meaningful
  information using dataoriented programming languages and visualisation software.
• Visualise, interpret, and report data findings and may create dynamic data reports as well
• Design, develop, and maintain the organization's data architecture, including data pipelines, databases, and data warehouses.
• Develop and maintain ETL (Extract, Transform, Load) processes to efficiently move data from various sources to the data
• Implement data quality checks and monitoring processes to identify and resolve data issues in a timely manner.
• Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that meet business needs.

Skills and attributes for success

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experiences
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• At least a Bachelor's degree in any of these faculties: Computer Science/Information Technology/Programming & Systems Analysis/Science (Computer Studies)
• Minimum total 3 years work experience in at least 1 of these job titles: (1) Chief Data Scientist (2) Data Engineer (3) Data Scientist (4) Head of Data Analytics
• At least 10 years of experience in a relevant industry or consulting role. Management consulting experience gained through a Big 4 is highly advantageous
• Experience in development and maintenance of Data processing pipelines
• Experience developing machine learning workflows
• Work closely with business analysts to create data components
• Application packaging and deployment experience across DEV to PROD environments
• Experienced in engaging and managing a variety of stakeholders
• Prior experience of leading team for projects and pursuits
• Excellent written, communication, and presentation skills in English (additional local language skills are considered an asset)

Ideally, you’ll also have

• Dashboarding experience with Tableau / Power BI
• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, apply now.

To learn more about our service offerings, visit https://www.ey.com/en_gl/careers/what-you-can-do-here or subscribe to http://www.youtube.com/ernstandyoungglobal

To learn more about careers in EYSG, please visit https://www.ey.com/en_sg/careers or like us on https://www.facebook.com/eycareerssingapore

Responsibilities:

• Establish, document, and maintain robust service delivery processes.

• Ensure compliance with all relevant internal and external policies, procedures, and regulations.

• Conduct regular process reviews and audits to identify and mitigate risks.

• Develop and implement process improvement initiatives to optimize service delivery.

• Identify, assess, and mitigate operational resiliency, compliance, and reputational risks associated with DCS services.

• Develop and maintain a risk register for DCS services.

• Ensure appropriate controls are in place to manage identified risks.

• Support regular DCS systems risk assessments, compliance audits and reviews.

• Advise DCS System PIC on policies, procedure, regulatory changes and their impact on DCS services.

• Develop and manage the DCS service budget.

• Monitor and control service costs to ensure they are within budget.

• Prepare financial reports and analyses for management review.

• Build and maintain strong relationships with stakeholders.

• Communicate effectively with all levels of the organization.

• Proactively identify and address stakeholder concerns.

Required skills:

• Years of experience in IT service management or in Tech Risk with a focus on governance and control within an IT enterprise environment

• Relevant industry certification (e.g: ITIL, Six Sigma, COBIT)

• Solid writing, documentation, interpersonal and communication skills.

• Experience in the areas of Risk Management, IT audit or IT security is an added advantage

• Prior working experience in banking or financial institutions would be an added advantage.

• Good understanding of MAS or APAC financial regulators technology risk guidelines or mandates would be valuable.

The exceptional EY experience. It's yours to build.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity:

EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for a Data Engineer within the DnA team in our Singapore office. This role is offered on a flexible full time basis.

Your key responsibilities:

• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
• Develop and implement techniques and analytics applications to transform raw data into meaningful
  information using dataoriented programming languages and visualisation software.
• Visualise, interpret, and report data findings and may create dynamic data reports as well
• Design, develop, and maintain the organization's data architecture, including data pipelines, databases, and data warehouses.
• Develop and maintain ETL (Extract, Transform, Load) processes to efficiently move data from various sources to the data
• Implement data quality checks and monitoring processes to identify and resolve data issues in a timely manner.
• Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that meet business needs.

Skills and attributes for success

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experiences
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• At least a Bachelor's degree in any of these faculties: Computer Science/Information Technology/Programming & Systems Analysis/Science (Computer Studies)
• Minimum total 3 years work experience in at least 1 of these job titles: (1) Chief Data Scientist (2) Data Engineer (3) Data Scientist (4) Head of Data Analytics
• Experience in development and maintenance of Data processing pipelines
• Experience developing machine learning workflows
• Work closely with business analysts to create data components
• Application packaging and deployment experience across DEV to PROD environments

Ideally, you’ll also have

• Dashboarding experience with Tableau / Power BI
• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, apply now.

To learn more about our service offerings, visit https://www.ey.com/en_gl/careers/what-you-can-do-here or subscribe to http://www.youtube.com/ernstandyoungglobal

To learn more about careers in EYSG, please visit https://www.ey.com/en_sg/careers or like us on https://www.facebook.com/eycareerssingapore

Purpose of the Job

This position sits within the Regional Business Development Department ("RBDD”) based in Singapore in the Global Corporate and Investment Banking, Asia Pacific. We are looking for highly motivated personnel with strong leadership to be able to support VP Data Management & Support and deliver the overall GCIB APAC Analytics Operating Model and Strategy. The Analytics Centre of Excellence (CoE) team reports into the Head of RBDD in Singapore.

This is a key role within GCBDA RBDD. Based on where the best suited candidate is identified, the Company is happy to hire for this role in Singapore or Oceania

Job Description

• Translate business strategies into actionable business-oriented data management strategies for the assigned domain
• Manage new data initiatives and related projects by defining high-level business case; providing requirements and tracking and prioritizing data projects within domain
• Define standards for data within assigned domain across GCIB APAC
• Manage access and provisioning by defining access permission plan, monitoring distribution of data from the domain, approving data provisioning to authorized users, supporting data users as a SME (subject matter expert) of data in domain, negotiating Data Service Agreements and ensuring data access and provisioning comply with standards and controls
• Determine official sources of data in scope
• Define/Validate business definitions for data elements
• Review data lineage and technical metadata for data elements
• Identify need for changes in metadata within domain and implement changes to business definitions
• Define business rules for data within domain
• Prioritize issues to remediate and review and approve remediation plans
• Work with Technology, System teams, Operations to ensure end to end data flow is remediated to drive accurate data
• Oversee remediation of Data Quality issues
• Collaborate & influence a wide range of partners / stakeholders from technology, business owners as well as senior management.
• Develop, Design and deploy data pipelines to collect, process and integrate data from various sources into the APAC Datawarehouse (Alteryx or similar experience essential)
• Ensure pipelines are efficient and scalable
• Work closely with Technology to ensure current and future data integration efforts are delivered
• Transform raw data into usable formats for analysis and reporting (ETL)
• Ensure accuracy of data by implementing data validation rules
• Identify and execute an automation backlog to automate repetitive data processing tasks to increase efficiency and reduce errors
• Act as the data steward for GCIB APAC for all core banking system data
• Document all current and future processes
• Support division and department to drive improvement in the process and operational efficiency.
• Promote MUFG and team culture, and foster team collaboration

Job requirements

• Minimum Bachelor's degree.
• Minimum 5 years of experience in banking or consultancy with background in Data and reporting.
• Strong interpersonal and communication skills, ability to influence others.
• Strong project management leadership.
• Strong technical skills in Alteryx, Tableau, Power BI, Power Apps and ETL Processes.
• Ability to translate business requirements into technical requirements.
• Knowledge of the data sources, transformation rules, and uses of the data for the area of stewardship.
• Experience with data management and reconciling data across several sources.
• Ability to work under strict timelines and strong communication skills.
• Growth mindset. You seek out learning opportunities for yourself and the team.
• Willingness to problem-solve and hustle to find solutions (even if unconventional), positivity and possess a “can-do” attitude.
• Exceptional analytical skills to understand a diverse array of programs and complex end-to-end workflows.
• High level of resilience.

We regret to inform that only shortlisted applicants will be notified.

Job ID: 10068443

Our client, a market leader in the internet technology space is looking for a SQL analyst to join their trust & safety team. This is a 6-months contract.

Responsibilities:

• Research and analyze emerging abuse patterns and trends.
• Identify and develop innovative methods for detecting abuse effectively.
• Identify and develop solutions for scalable enforcement on non-compliant publisher inventory.
• Conduct complex data analysis to identify opportunities for new signals, automation, and workflow improvements.
• Work directly with other members of your team to remediate complex abuse issues.
• Enhance our operational workflows via process improvements.
• Present a unified enforcement experience to external publishers and support internal sales teams.
• Drive solutions through analysis and cross-functional partnership.
• Perform policy compliance checks on publisher sites.
• Leverage SQL to extract data and uncover valuable insights from complex datasets.
• Revamp existing dashboards or create new ones to monitor real-time data trends.
• Share actionable insights derived from the data analysis, empowering team members to make informed decisions.

Requirements:

• Education: Bachelor’s degree in Math, Statistics, Economics, Social sciences or equivalent practical experience.
• 1+ year experience writing SQL python scripting
• Experience with Python coding and scripting.
• 2+ years of work experience in a trust and safety role.
• Ability to navigate and influence cross-team stakeholders.

Monitor the data centre infrastructure 24x7 and promptly escalate issues to the relevant teams

• Respond to all operational incidents and perform remote requests within SLA
• Update all requests on the internal ticketing system
• Ensure compliance with ITIL processes for incident, problem and change management
• Implement safety, security and customer support policies and procedures
• Coordinate and support contractors and vendors as well as inspect completed work
• Plan and support all preventive and reactive maintenance activities with minimal disruption to company services
• Participate and support internal and external audits for stakeholders and customers

Requirements:

• Diploma or certificate in Computing, Electrical, Mechanical Engineering or related field
• At least 1 year of relevant work experience in 24x7 DC or facility operations environment, freshers with relevant qualifications such as building services, mechanical engineering
• General knowledge of M&E and Network Critical Infrastructure
• Broad knowledge of DC facilities related systems experience.
• Detail-oriented team player who can work well under pressure in a fast-paced environment
• Prepared to be on 24x7 standby recall to provide extra manpower coverage when necessary
• Ability to work on a rotating shift schedule, which includes weekends and public holidays

- Basic + Fixed shift Allowance + Mobile allowance + Bonus+OT

- 8am-8pm, 8pm-8am Rotational shift

- 2 days working, 2 days off shift pattern

Interested candidates, who wish to apply for the advertised position, please email us an updated copy of your resume.

Email Address: [email protected]

We regret that only shortlisted candidates will be notified.

Job Code: JYK

EA License No.: 01C4394

EA Registration No. R1873450

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

Responsibilities:

• Establish, document, and maintain robust service delivery processes.

• Ensure compliance with all relevant internal and external policies, procedures, and regulations.

• Conduct regular process reviews and audits to identify and mitigate risks.

• Develop and implement process improvement initiatives to optimize service delivery.

• Identify, assess, and mitigate operational resiliency, compliance, and reputational risks associated with DCS services.

• Develop and maintain a risk register for DCS services.

• Ensure appropriate controls are in place to manage identified risks.

• Support regular DCS systems risk assessments, compliance audits and reviews.

• Advise DCS System PIC on policies, procedure, regulatory changes and their impact on DCS services.

• Develop and manage the DCS service budget.

• Monitor and control service costs to ensure they are within budget.

• Prepare financial reports and analyses for management review.

• Build and maintain strong relationships with stakeholders.

• Communicate effectively with all levels of the organization.

• Proactively identify and address stakeholder concerns.

Required skills:

• Years of experience in IT service management or in Tech Risk with a focus on governance and control within an IT enterprise environment

• Relevant industry certification (e.g: ITIL, Six Sigma, COBIT)

• Solid writing, documentation, interpersonal and communication skills.

• Experience in the areas of Risk Management, IT audit or IT security is an added advantage

• Prior working experience in banking or financial institutions would be an added advantage.

• Good understanding of MAS or APAC financial regulators technology risk guidelines or mandates would be valuable.

Product area

The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are a diverse, upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.

Job description

The Data Center team designs and operates some of the most sophisticated electrical engineering, mechanical engineering and HVAC systems in the world. Facilities Technicians at Google data centers operate, monitor and support physical facilities conditions. Some of these duties will include heating and cooling of air and water, power supply, generators, UPS systems, electrical distribution and control and monitoring systems. You regularly help inspect, maintain and repair various data center systems such as piping and non-critical electrical or mechanical system components). You provide daily assistance to senior technicians as you read blueprints/schematics, conduct tours of systems and assess their working order.

As an advocate for best practices, you develop creative approaches to reducing operational costs while improving overall data center efficiency. You ensure that environmental and safety standards are consistently met, identifying problems and making repairs quickly. In emergency situations or abnormal conditions, you manage data center performance issues and outages to minimize the recovery time from failures.

Additional job description

In this role, you will operate, monitor, and support physical facilities conditions for our data centers.

Qualifications

Job responsibilities

• Operate, maintain, troubleshoot and repair electrical equipment in a Data Center environment.
• Prepare and execute operation procedures, respond to work request/service failure and provide operational and technical expertise in required areas. Coordinate vendor support in repairs/replacement and support project implementation (e.g.,Site acceptance tests, factory acceptance tests, site inspection for defects, etc.).
• Improve site Water Usage Effectiveness WUE and Power Usage Effectiveness (PUE), operational efficiency and to minimize environmental impact. Provide Root Cause Analysis (RCA), recovery and prevention actions for service failure.
• Provide tracking and trending operational characteristics. Ensure safety rules and regulations associated with operating infrastructure.
• Work 12 hour rotating shifts including weekends and holidays as needed.

Minimum qualifications

• Associate's degree, trade school certification, or other certified training in a related technical field, or equivalent practical experience.
• 2 years of Electrical experience (e.g., electrical testing equipment or electrical distribution) in an industrial or commercial environment.
• Ability to participate in material handling tasks such as lifting, carrying or moving up to 50 lbs (23 kg) of equipment, the required use of safety equipment like limited weight bearing work platforms, ladders, step stools and personal protective equipment (PPE) in accordance with safety and ergonomic guidelines and assessments.
• Ability to work non-standard hours, including on-call rotation and 12-hour rotating shifts.

Preferred qualifications

• Associate's degree, trade school certification, verifiable training in a relevant technical field or equivalent practical experience.
• 4 years of experience in operating and maintaining mission critical facilities (data centers, hospitals, pharma, semiconductor, refineries, power plants, industrial etc).
• Experience in troubleshooting electrical systems.
• Knowledge of electrical, mechanical, and controls systems, including: Feeders, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDU/PMM units, Chillers, Air handling units and CRAC units.
• Ability to learn quickly and address issues as they arise during normal operations or during emergency conditions.
• Ability to work with varying outdoor temperature conditions.

Our client is seeking an experienced Data Centre Business Operations Director to manage internet / hyperscale data center projects from inception to completion, primarily in Japan, the US, and Australia. This role involves developing strategic client relationships and enhancing the company's market position.

Business set-up: Start-up company

Base location: Singapore

Responsibilities:

• Oversee all business operations across the region, including project management, vendor management, set up new businesses etc for primarily in Japan, Australia and USA (priority in Osaka, Japan)
• Manage project plans, timelines, and resources.
• Work closely with top cloud and enterprise customers, delivering presentations on design aspects..
• Oversee project lifecycle, ensuring timely and budget-compliant delivery.
• Maintain stakeholder relationships and clear communication.
• Ensure compliance with safety and health standards.
• Promote best practices and collaborate with field operations.
• Provide regular updates and reports to senior management.

Requirements:

• Extensive experience in data center design or project delivery.
• Knowledge of business/government regulations in relevant regions.
• Experience working for a data center operator with hyperscale and cloud experience in Japan, Australia, and the United States.
• Experience working with the leading data center operators such as Equinix
• Strong communication and leadership skills.
• Willingness to travel regularly within APAC.
• Proficiency in Mandarin is an advantage

If you are interested, please apply with your latest CV. Only shortlisted candidates will be contacted.

The VP – Data Risk & Control Lead Analyst is responsible for contributing to the directional strategy and assisting in creation and modification of Enterprise Data Governance Strategy, and/or Data Risk and Control Framework and Data Risk Taxonomy. The focus of this role may be on one or more of the following areas: assisting in identification, measurement and reporting, data policy adoption and compliance, data controls framework performance and issue management process, and regulatory and audit response and action tracking.

This role requires someone who is dynamic, flexible, and can easily respond to quickly changing needs. The candidate must have the ability to handle ambiguity and complexity and be able to deliver on multiple responsibilities. Developed communication and diplomacy skills are required in order to guide, influence and convince others.

Responsibilities:

• Partner with multiple teams to implement relevant Data Governance policies and/or Data Risk and Control framework
• Provide expertise on Data Governance and/or Data Risk and Controls framework including design, effectiveness, performance monitoring and self-assessment processes
• Oversight and analysis of data-related issues, tracking of ownership and target dates and associated metrics and reporting
• Support and coordinate with business lines and global functions on enterprise Data Governance strategy roll out, including new Data risk taxonomy and associated changes to key risk indicators and control framework
• Gather and synthesize metrics on existing Data Governance and/or Data Risk and Controls principles, policies, practices and standards, e.g., understanding industry best practices
• Produce recommendations for enterprise-wide guiding principles, policies, processes and practices
• Determine requirements for and prioritize development of new enterprise-wide principles, policies, processes and practices as needed
• Develop and manage approach for measuring adoption of principles, policies, processes and practices

Qualifications:

• 6-10 years relevant experience in a Data Governance/ Data Management/ Process Engineering or related area
• Advanced understanding of Project Management methodologies and tools
• Requires basic commercial awareness
• Ability to monitor tight deadlines or unexpected requirement changes, with the ability to anticipate and balance needs of multiple stakeholders
• Ability to communicate effectively to develop and deliver multi-mode communications that convey a clear understanding of the unique needs of different audiences

Education:

• Bachelor's/University degree, Master's degree preferred

Responsibilities:

• Design, develop and deploy the programs, shell batch scripts, complex MSSQL and T-SQL scripts (packages, stored procures, functions, and triggers).
• Perform impact analysis for upstream and downstream changes that affect the systems.
• Utilize programming methodologies and languages and adhere to coding standards, procedures and technologies while contributing to the technical code documentations.
• Participate in design reviews and provide input to the design recommendations; incorporate security requirements into design; and provide input to information/data flow; participate in code reviews and ensure that all solutions are aligned to pre-defined architectural specifications.
• Investigate and troubleshoot the production issues and system problems escalated by IT operation team, identify the root cause, provide workaround to rectify the issue/problem, and work out the long-term solution to fix issues/problems permanently.
• Involve in regularly maintenance activities, e.g., yearly DR drill, quarterly support for server or platform software patching, etc.
• Provide ad-hoc support for other IT service requests, e.g., data extraction, data alteration, extract system logic, answer to users’ inquiry about the data/logic in the system, etc.
• Highlight or escalate risk and issues to relevant parties in a timely manner.
• Coordinate production release preparation, provide on-call support and afterhours/weekend support as needed to cover change deployment.

Requirements:

• Masters or Bachelor’s Degree in Information Technology, Computer Science, Manage Information Science, Banking and Finance or equivalent.
• Min. 2 years’ experience on MS SQL Server development (SSIS packages, stored procedures, functions, triggers).
• In-depth understanding of database management systems.
• Familiar with Software Development Life Cycle (SDLC) process.
• Possess problem-solving ability and work well in a challenging technical environment, with capability to multi-task whilst delivering high quality solutions.
• Strong communication and influencing skills.

To apply, please visit www.gmprecruit.com and search for Job Reference: L5X5XV65

To learn more about this opportunity, please contact Yingying at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives.

By applying for this role, you consent to GMP Recruitment Services (S) Pte Ltd’s PDPA and e2i’s PDPA.

Responsibilities

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

---

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

---

About the team

The Live Platform Intelligence team's mission is to use model-driven and data-driven ways to promote core indicators on LIVE revenue and creator engagement, which includes: Build models for automated and intelligent operations to improve the efficiency and effectiveness of TT Live supply end, as well as discover and handle inappropriate user behavior and business anomaly, to assure the steady and persistent running of TT Live business. Spearheading analytical excellence with a penchant for creative problem-solving, our team functions at the intersection of data science and live content, ensuring an engaging and personalized experience for our global community of creators and viewers.

---

Responsibilities

- Drive understanding of product usage and user behavior in the field of Live ecosystem.

- Establish and refine key product metrics, set scaled and attainable goals, forecast outcomes, and closely monitor trends to precisely gauge the success of our product initiatives.

- Collaborate proactively with Product Managers, Engineers, MLE and other cross-functional teams, providing data-backed perspectives that shape our product decisions, deliver insights and excute strategy.

- Design and measure experiments to verify hypotheses and opportunities in product growth, and consult on directions for improvement

Qualifications

Minimum Qualifications

- Bachelor's degree in Statistics, Mathematics, Data Science, or equivalent practical experience.

- A minimum of 3 years of work experience in analytics.

- Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or data visualisation tools (e.g. Tableau).

- Excellent problem-solving and critical thinking skills.

---

Preferred Qualifications

- Preferably with experience working on products, user growth, or live streaming business.

---

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Responsibilities

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

---

Why Join Us

At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make an impact happen with a career at TikTok.

---

About the team

The strategy team's mission is to use model-driven and data-driven ways to promote core indicators on LIVE revenue and user engagement, which includes:

1. Build prediction/uplift NN model to improve LIVE feature intelligence;

2. Mine and interfere with potential crowds to gain a higher ROI operation for both LIVE streamer and watcher;

3. Make detailed analysis on user data and system data to find out user experience optimization zoom;

4. Other work like user growth strategy, cold-start strategy, etc.

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

---

Requirements:

1. Responsible for data science work related to the product and operation strategy of TikTok LIVE.

2. Analyse business data in different markets, formulate targeted strategies, and evaluate strategic benefits.

3. Build insights into different strategy scenarios, use data skills to deepen scenario understanding and promote decision quality.

---

Qualifications

1. Mathematics, statistics, computer science related majors, have experience of internet business.

2. Excellent thinking framework and scenaios understanding ability, good at using data analysis and other means to solve business problems.

3. Experience of casual inference, evaluation framework, data mining is preferred.

4. Understanding the principle of machine learning and recommendation algorithms is preferred.

Preferred Qualification

Experience from a large-scale internet business

---

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

If you have any questions, please reach out to us at [email protected].