As a Lead Data Analyst, you will play a critical role in guiding strategic decision-making by providing insights from data. You’ll oversee a team of Data Analysts, Engineers and Scientists and collaborate with cross-functional teams, and deliver actionable recommendations to improve game development, player engagement, and operational efficiency.

Key Responsibilities

• Team Leadership: Lead, mentor, and develop the team, fostering a culture of collaboration and continuous learning.
• Data Strategy: Develop and implement data analysis strategies to support game development and business operations.
• Analytics and Reporting: Design and deliver insightful dashboards, reports, and presentations for various stakeholders, ensuring data-driven decision
• Collaboration: Work closely with game development teams, marketing, and other departments to identify opportunities for leveraging data.
• Data Quality and Governance: Ensure data integrity, accuracy, and security by defining and enforcing governance standards.
• Innovation: Stay up-to-date with the latest analytics technologies and methodologies, incorporating them into the team's workflows.

The Solution Architect will be responsible for the design and thought leadership throughout the full life cycle of a customer's journey. The individual will have the opportunity to be engaged from pre-sales activities focusing on the development of leads, initial scoping, high level solution designing, estimation and statement of work generation. Then within the delivery phase you will work closely with our delivery teams to bridge the gap between the high level solution design and low level solution design.  Supporting the delivery implementation, providing guidance and leadership. Besides the customer engagements you will look to use your experience and that of the large Solution team in assisting in the creation and design of our next generation of products and services, allowing you to develop truly impactful solutions which you will help to take to market working with internal teams and partners.

Job Requirements

• Pre Sales Activities: Work with the Sales and Delivery Team to support the development of leads, estimates, resource planning, ultimately resulting in the production of a statement of work for the customer. 
• Solution Design: Creation of the high and low level designs and architecting systems in a cloud native fashion on any of the 3 major cloud providers (AWS, GCP, Azure). Provide review and quality assurance across the team’s output. 
• Collaborate with delivery: Work with the DevOps, Data Engineering and Application Development delivery teams to bridge the gap between the solution designs ensuring that delivery of the solutions are inline with the requirements of the customers. 
• Solution Development: Taking insight and feedback from Sales, Client Partners and industry to develop new solutions and products which will help benefit our customers. Then working with the engineering teams and in collaboration design and delivering these new solutions which can be taken to market. 
• Data Solutions Subject Matter Expert: Act as an authoritative source for both internal and external queries in the space of “Data Solutions” focusing on  Data Migrations, ETL Pipelines, Data Modelling and AI/ML practices.
• Continuous Learning: Set aside the time to develop skills and knowledge to broaden your experience and understanding of the Cloud and Data space. Work to share this knowledge internally and externally through evangelism, utilizing different forums and mediums, 

We are currently looking for a skilled Data Analyst to become an integral part of our team, focusing on the development of data-driven solutions aimed at enriching our customer relationship management (CRM) strategy to drive performance.

• Analyze and interpret large and complex datasets to develop data-driven insights.
• Collaborate with cross-functional teams to identify opportunities for data science solutions to improve our CRM systems and processes.
• Identify opportunities for process optimization, automation, and data-driven decision-making.
• Communicate complex analytical insights and solutions to stakeholders clearly and concisely.
• Build partnership with strategy team to showcase to refine campaign strategy and  efficiencies
• Be the key PIC for insights generation for the assigned market cluster
• Timely delivery of analysis as per aligned timelines

Responsibilities:

· Lead and manage the project team, ensuring alignment with client goals, schedules, and deliverables.

· Develop, update, and monitor the overall project schedule, addressing delays and ensuring milestones are met.

· Oversee the project budget, manage costs, and track expenditures to ensure financial targets are met.

· Act as the main point of contact for clients and stakeholders, providing regular project updates and managing expectations.

· Ensure construction work meets the highest standards, adhering to quality, safety, and regulatory requirements.

· Identify potential project risks and develop mitigation strategies to address them proactively.

· Enforce strict safety protocols and ensure compliance with all safety and environmental standards.

· Oversee contracts and subcontractors, ensuring compliance with terms and timely delivery of project components.

· Mentor junior engineers and team members, fostering a culture of collaboration, continuous improvement, and high performance.

· Ensure successful project completion, including commissioning, testing, and final handover to the client with all required documentation.

Requirements:

· Bachelor's degree in Civil Engineering, Construction Management, or a related field; professional certifications (e.g., PMP) preferred.

· Minimum 5-10 years of project management experience, preferably in large-scale construction projects, with data centre experience a plus.

· Strong understanding of construction processes, systems (HVAC, power, IT infrastructure), and engineering principles.

· Excellent leadership, team management, and communication abilities to work with diverse teams and stakeholders.

· Strong decision-making skills, with the ability to resolve issues and adapt plans under pressure.

Queenie Chua

R24125459

Responsibilities:

· Develop and implement a detailed commissioning plan, outlining all activities, timelines, resources, and testing procedures required for the data center systems (MEP, IT, fire protection, etc.).

· Lead and coordinate commissioning teams, including subcontractors and suppliers, ensuring all systems are tested, verified, and fully functional according to design specifications.

· Oversee the testing, inspection, and verification of all critical systems, including HVAC, electrical, IT infrastructure, power distribution, and other building systems, ensuring they meet performance criteria.

· Identify any system deficiencies or operational issues during commissioning and work with relevant teams to resolve them promptly, ensuring systems meet the required standards.

· Maintain detailed commissioning documentation, including test reports, issue logs, and progress reports, ensuring accurate records of all activities for client handover.

· Work closely with the design and construction teams to ensure that commissioning requirements are incorporated into the final design and installation phases, addressing any discrepancies or modifications required.

· Act as the main point of contact for the client during the commissioning phase, providing regular updates on testing progress, system performance, and any issues. Oversee the final handover process to ensure all systems are fully functional.

· Ensure all commissioning activities comply with local regulations, industry standards, and client specifications, and that systems meet all safety and operational requirements.

· Identify potential risks or delays in the commissioning process and implement corrective actions to mitigate these risks, ensuring the project stays on track for timely completion.

· Provide training to the client’s operations team, ensuring they understand how to operate and maintain the data centre’s systems after handover.

Requirements:

· Bachelor's degree in Mechanical, Electrical, or Civil Engineering, or a related field. Professional certifications related to commissioning (e.g., CxA, LEED, or equivalent) are an advantage.

· Minimum of 5-10 years of experience in commissioning, with a strong background in large-scale projects such as data centers, commercial buildings, or industrial facilities.

· Strong knowledge of commissioning processes, including system testing, validation, and troubleshooting for MEP, IT, and building management systems (BMS).

· Proven leadership abilities to manage commissioning teams, coordinate with contractors, and effectively communicate with stakeholders. Ability to clearly report on system status, risks, and issues.

· Strong problem-solving skills, with the ability to quickly address issues that arise during commissioning and take corrective action to ensure systems meet operational requirements.

Queenie Chua

R24125459

Responsibilities:

· Oversee the planning, design, and execution of all Mechanical, Electrical, and Plumbing (MEP) systems for the data centre construction project, ensuring they meet technical and regulatory requirements.

· Lead and coordinate MEP engineers, subcontractors, and vendors to ensure seamless integration of MEP systems into the overall construction schedule.

· Review and approve MEP designs, ensuring they are aligned with project specifications, client requirements, and best practices.

· Provide technical support to the project team, assisting with complex MEP-related issues and resolving design or construction challenges.

· Ensure MEP installations meet the highest quality standards, including compliance with local regulations and international best practices.

· Oversee the procurement of MEP materials and equipment, and manage subcontractors to ensure timely delivery and quality of work.

· Manage the MEP portion of the project budget, track costs, and implement cost-saving measures without compromising quality or safety.

· Enforce strict adherence to health, safety, and environmental (HSE) standards within all MEP works on-site.

· Track the progress of MEP works, preparing regular reports on milestones, issues, and performance to the Project Manager and stakeholders.

· Oversee the commissioning of MEP systems, ensuring all systems are properly tested and integrated before the final handover to the client.

Requirements:

· Bachelor’s degree in Mechanical or Electrical Engineering, or a related field. Professional certifications (e.g., PMP, CEM, LEED) are a plus.

· Minimum of 5-10 years of experience in MEP management, with a strong background in data centre construction or other large-scale projects.

· In-depth knowledge of MEP systems (HVAC, electrical, plumbing, fire protection), as well as design and installation processes.

· Strong leadership abilities with the capability to manage teams, coordinate with stakeholders, and communicate complex technical information clearly.

· Proven ability to identify and resolve technical issues, implement effective solutions, and make decisions under pressure to keep the project on track.

Queenie Chua

R24125459

Responsibilities:

· Lead the overall design process for the data centre, ensuring all architectural, structural, and MEP (Mechanical, Electrical, and Plumbing) elements are integrated into a cohesive design that meets the client’s requirements and project goals.

· Manage and guide the in-house design team, external consultants, and subcontractors, ensuring that designs are delivered on time, within budget, and to the required quality standards.

· Oversee the review and approval of all design deliverables, including drawings, specifications, and technical documents, ensuring compliance with local regulations, international standards, and project specifications.

· Act as the primary point of contact between the client and the design team, addressing client concerns, providing regular updates, and ensuring client satisfaction with design solutions.

· Identify design risks early in the process, working with relevant stakeholders to mitigate risks and resolve design-related issues in a timely manner.

· Drive innovation in the design process by recommending value engineering solutions, cost-effective design alternatives, and methods to optimize the functionality and efficiency of the data centre.

· Ensure the design complies with all relevant building codes, safety standards, and environmental regulations, as well as the requirements of regulatory bodies and local authorities.

· Develop and manage the design phase of the project schedule, ensuring that key milestones are achieved and that the project progresses on time.

· Work with the project team to establish and manage design-related costs, ensuring that the design process remains within budget and that resources are allocated effectively.

· Maintain accurate design documentation, ensuring that all changes, approvals, and communications are properly documented. Provide regular design progress reports to the Project Manager and stakeholders.

Requirements:

· Bachelor’s degree in Architecture, Civil Engineering, or a related field. A Master's degree or professional certifications (e.g., PMP, LEED, etc.) would be an advantage.

· Minimum 5-10 years of experience in design management within the construction industry, with a focus on large-scale, complex projects like data centres or commercial buildings.

· Strong understanding of design principles, architectural and engineering systems, and familiarity with data centre design requirements, including specialized systems like HVAC, electrical, and IT infrastructure.

· Proven leadership and team management capabilities, with the ability to coordinate and motivate cross-disciplinary teams. Excellent communication and interpersonal skills to liaise effectively with clients, stakeholders, and contractors.

· Strong ability to identify potential design issues early and implement effective solutions. Proficient in making decisions under pressure while maintaining project quality and client satisfaction.

Queenie Chua

R24125459

Responsibilities:

· Review and approve the structural design, ensuring compliance with project specifications, regulatory requirements, and best practices for data centre construction.

· Manage and lead a team of structural engineers and designers, providing technical guidance and ensuring efficient project execution.

· Collaborate closely with the architectural, MEP, and construction teams to ensure structural elements are integrated seamlessly with the overall building design.

· Supervise on-site structural work to ensure it adheres to design specifications, quality standards, and safety regulations.

· Ensure all structural work is completed according to the highest quality standards, conducting inspections and overseeing testing processes for structural components.

· Oversee the review and approval of structural calculations, ensuring that load-bearing and stability requirements are met for the data centre’s unique design and operational needs.

· Monitor and manage the structural work schedule, ensuring key milestones are met on time and within budget. Address any potential delays or cost overruns.

· Identify and mitigate risks related to structural design, construction methods, and materials. Resolve any technical challenges that arise on-site promptly and effectively.

· Ensure that all structural work complies with local building codes, safety standards, and environmental regulations. Work with authorities to secure necessary permits and approvals.

· Ensure that all structural work is completed to specification and provide the necessary documentation for final handover to the client, including as-built drawings, structural certifications, and testing reports.

Requirements:

· Bachelor’s degree in Civil or Structural Engineering, or a related field. A Master's degree or professional certifications (e.g., Chartered Engineer status) is an advantage.

· Minimum 5-10 years of experience in structural management within the construction industry, with a strong focus on large-scale, complex projects such as data centres, commercial buildings, or industrial facilities.

· Strong knowledge of structural design principles, materials, and construction techniques, with experience in data centre and other specialized construction projects.

· Proven leadership skills with the ability to lead and motivate a team of engineers, work cross-functionally with other teams, and communicate effectively with clients, contractors, and stakeholders.

· Strong analytical and problem-solving abilities, with experience in making critical decisions related to structural design, materials, and site challenges to maintain project timelines and quality.

Queenie Chua

R24125459

Responsibilities:

· Manage and oversee all CSA construction activities, ensuring that civil, structural, and architectural works are completed according to the project’s design specifications, quality standards, and safety requirements.

· Supervise daily site operations to ensure CSA works are progressing as per the construction schedule and in compliance with local regulations and safety standards.

· Collaborate with the design, structural, MEP (Mechanical, Electrical, and Plumbing), and commissioning teams to ensure that CSA systems are properly integrated into the overall project plan.

· Ensure that all CSA works meet the specified quality standards by performing regular inspections and audits of on-site construction activities and materials.

· Oversee the work of subcontractors and vendors performing CSA-related tasks, ensuring adherence to timelines, specifications, and safety requirements.

· Monitor and manage the CSA construction schedule, ensuring that milestones are achieved on time and that work progresses in a timely and coordinated manner.

· Track and control the CSA-related budget, ensuring that the project remains within financial constraints, and implement corrective actions if there are potential cost overruns.

· Enforce strict adherence to health, safety, and environmental (HSE) standards and ensure CSA work activities comply with project-specific safety protocols and regulations.

· Identify potential risks to the CSA construction process and take proactive steps to mitigate issues, delays, or design conflicts. Address unforeseen challenges as they arise.

· Ensure the timely completion and handover of CSA-related components, including documentation such as as-built drawings, materials certifications, and other required reports for final client approval.

Requirements:

· Bachelor’s degree in Civil Engineering, Structural Engineering, Architecture, or a related field. A Master’s degree or professional certifications (e.g., PMP, Chartered Engineer) are an advantage.

· Minimum 5-10 years of experience in construction management with a focus on CSA works, particularly in large-scale projects such as data centres, commercial buildings, or industrial facilities.

· Extensive knowledge of civil, structural, and architectural design and construction practices, with experience in managing CSA works from ground up through to finishing stages.

· Strong leadership and interpersonal skills, with the ability to manage teams, subcontractors, and stakeholders while maintaining clear and effective communication at all levels.

· Exceptional problem-solving and decision-making abilities, particularly in managing complex site challenges, ensuring that CSA work is executed efficiently and safely, and resolving any issues promptly.

Queenie Chua

R24125459

At #TeamCPF, you’re not just joining a team; you are embracing a culture of excellence, collaboration, and meaningful impact. You will play a pivotal role in empowering over 4 million members to secure their retirement, healthcare, housing needs and better navigate life’s uncertainties.

We thrive on sharp minds and insightful decisions. Your ability to analyse and think critically isn't just valued; it's essential. Every choice you make contributes to our collective success.

Collaboration is our way of life. We believe in the power of effective partnerships and seamless communications across teams. Together, we amplify each other’s strengths and achieve remarkable results.

Our learning never stops. We encourage your inquisitiveness and courage to embrace new challenges head-on. Your agility, readiness to challenge conventions, embrace of data-driven strategies, dedication to learning and applying new skills fuels our innovation and progress.

At the core of everything we do lies a genuine desire to make a difference. We serve our community and support each other with compassion, empathy, and unwavering dedications. Every action we take is guided by a deep sense of purpose and a commitment to those we serve.

Join us at #TeamCPF! Together, let's redefine possibilities and leave a legacy that echoes for generations.

What you will be working on

As a member of the Data Exploitation & Process Engineering section, you will drive process re-engineering to enhance operational efficiency and sustainability. Your role includes deploying data analytics for insights, supporting data management through governance and process coordination, and developing the Healthcare Datamart. You will also integrate it with the Unified Data Platform (UDP) and create healthcare dashboards for data-driven decision-making.

In this role, you will:

• Work with stakeholders to design and implement a comprehensive data management framework, processes, and standard operating procedures (SOPs), ensuring consistent data quality and adherence to best practices across the organization.
• Partner with both internal and external stakeholders on data analytics projects to uncover insights that drive policy reviews and support the formulation of operational strategies aimed at achieving business goals and improving performance.
• Work closely with the IT support team to develop, manage, and maintain the healthcare data mart and associated IT systems, ensuring the timely availability, accuracy, and integrity of healthcare data for advanced analytics and decision-making.
• Manage day-to-day operations, including the preparation, analysis, and collation of reports and statistical submissions, ensuring timely and accurate delivery of data to stakeholders.
• Drive ongoing improvements in data management processes, leveraging feedback and insights to enhance operational efficiency, streamline workflows, and ensure data-driven decision-making at all levels.
• Collaborate across departments, aligning data initiatives with broader organizational objectives and supporting a culture of data-driven decision-making.

What we are looking for

We value the diverse talents and experiences that each individual brings to the table. While mastery of every requirement may not be necessary, familiarity and expertise in some of the following areas will position you for success within this team.

• Proven experience in data analytics, with a prior experience in analysing and interpreting complex datasets to drive actionable insights.
• Good analytical and numeracy skills, with familiarity in statistical and visualisation tools such as Python, PowerBI, SAS, and Tableau.
• Ability to apply critical thinking and problem-solving skills to interpret complex data, identify trends, and develop actionable insights.
• Ability to work independently and adapt to changing priorities and challenges.
• Ability to collaborate effectively with both internal and external stakeholders, fostering productive relationships to achieve desired outcomes.
• Good verbal and written communication skills, with the ability to clearly articulate complex concepts.
• Attention to detail, ensuring accuracy and integrity of data while managing and analysing large datasets.
• The seniority of appointment and actual corporate job title will commensurate with individual work experiences.
• Position is on a 1-year full-time contract directly under the payroll of CPF Board with an option to renew, contingent upon confirmation and subject to organisational needs.Additionally, there is potential for emplacement into a permanent position.

What you can expect

Being part of #TeamCPF means embarking on a challenging and rewarding career in a progressive workplace that values productivity and growth. Here’s what awaits you:

• Opportunities to engage in a mix of formal and informal training, keeping your skills sharp in our ever-evolving technological landscape.
• Promotion opportunities based on your capability and on-the-job performance.
• A vibrant community of like-minded and friendly colleagues, where collaboration and creativity thrive.
• A hybrid work model that offers flexibility for remote work, subject to exigencies of service.
• Flexible dress code that empowers you to choose your appropriate outfit for the day.
• A comprehensive rewards package that includes annual leave, pro-family leave, medical and dental benefits, and access to recreational activities.

About Central Provident Fund Board

At the Central Provident Fund (CPF) Board, we believe in developing individuals who are inspired to do their life’s best work, through 3Ps: Purposeful Work, Professional Growth, People & Culture.

Purposeful Work – The CPF Board helps 4 million members save for their retirement, healthcare and housing needs. Beyond being a pension fund, we are unique in being a national social security organisation, and we serve CPF members knowing that we make a difference.

Professional Growth – At CPF Board, you will have the opportunity to learn on the job and pick up new skills and knowledge. Although you are joining one organisation, you will have access to many career paths in the years ahead.

People and Culture – When you join CPF Board, you become part of a mission-oriented organisation with a strong culture of teamwork, collaboration, and innovation. As an employer, we value our people as our greatest asset, and foster a culture of respect, diversity, and inclusivity, where everyone's voice is heard, and contributions are recognised and celebrated.

Come and be a part of #TeamCPF today, to make a difference in the lives of others and in the future of Singapore.

Job Description

Main Tasks:

• Conducting sales data collection and analysis
• Quoting and managing product pricing
• Supporting the sales team with business enquiries and administrative matters
• Analyzing data and drawing meaningful insights to improve sales and processes
• Conduct projects with different stakeholders to support and drive sales
• Assisting in preparation of presentation slides and other SAP-related sales support activities
• Creating analytics reports for KPI reporting (Monthly Customer Reports, Quality Reports)

May also include:

• Planning and hosting of marketing events
• Collaborating with 3rd party agencies for social media campaigns
• Designing and archiving marketing materials
• Coordinating with 3rd party vendors for various tasks
• Supporting functions of regional teams for problem solving
• Other administrative tasks on ad-hoc basis

This position is ideal for a recent graduate who is passionate about solving challenging business problems and building applications that provide an excellent user experience. As a Data Engineer, you will be an integral part of the Loyalty and Marketing development team, focusing on designing and building software solutions that leverage data to solve business problems.

The role is for a self-motivated individual with strong foundational software engineering skills. The candidate will be extensively involved in hands-on activities, including POCs, design, documentation, and development of new functionality. The candidate must be flexible and willing to switch tasks based on the team's needs.

Responsibilities:

• Assist in the design, development, and implementation of software solutions.
• Participate in the development of new products iteratively by building quick POCs and converting ideas into real products.
• Design and develop mission-critical systems, delivering high-availability and performance.
• Interact with both business and technical stakeholders to deliver high-quality products and services that meet business requirements and expectations while applying the latest available tools and technology.
• Develop code under the guidance of senior developers to ensure deliverables are on time, within budget, and with good code quality.
• Maintain a passion for delivering zero-defect code and contribute to ensuring the team's deliverables meet or exceed the prescribed defect SLA.
• Assist in coordinating Continuous Integration activities and other related items in addition to contributing core product code.
• Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner.

Job Description

• Support on Customer Relationship Management (CRM) tools
• Assist the ASEAN sales team with ongoing analytical, administrative and operational tasks
• Manage sales reports, sales dashboards and sales process to make data access extraction more efficient
• Involve in various projects with different stakeholders to support and drive sales
• Support Preferred partner program and channel strategies
• Market research when required
• Assist in preparation of presentation slides and other ad-hoc sales activities
• Assist in other ad-hoc analytics and marketing project and tasks

We are developing and executing a shared strategic vision for Loyalty & Marketing Services platforms and products that enable Visa to be the world-leading data-driven payments company. As a Data Engineer, you will be part of world-class team of Engineers to define, drive and execute on this vision. We are looking for a self-motivated individual with software engineering skills and expertise with Java, Web technologies & Big data. The candidate will be extensively involved in hands-on activities including POCs, design, development, testing, and documentation. Candidate must be flexible and willing to switch tasks based on team's needs.

Primary responsibilities will include:

• Design and develop mission-critical systems, delivering high-availability and performance
• Work on development of new products and enhancements to existing systems iteratively by building quick POCs and converting ideas into real products
• Work closely with architects, business and technical stakeholders to develop high quality products and services that meet business requirements and expectations while applying the latest available tools and technology
• Instill best practices for software development, and deliver high quality work on tight schedules
• Identify opportunities for further enhancements and refinements to standards and processes
• Mentor junior team members, develop departmental procedures and best practices standards
• Coordinate Continuous Integration activities, testing automation frameworks, and other related items in addition to contributing core product code
• Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

We are looking for a highly skilled Data Scientist for our global Weather Desk with a strong background in Meteorology. The ideal candidate will hold a PhD or Master’s degree in Atmospheric Science or a related field. We seek for someone who is passionate not only about data analytics and modeling, but also enjoys interpreting large-scale weather patterns and teleconnections. The role balances forecasting work for commercial teams and research projects using data science. The ideal candidate is proficient in weather forecasting and understands the driving forces behind expected weather patterns.

Main Responsibilities:

• Lead global weather intelligence and monitoring for the SouthEast Asia regional commercial offices
• Conduct research, perform data analysis, and create predictive models using meteorological datasets
• Work with internal team to expand and improve suite of weather monitoring tools and visualizations
• Collaborate with cross-functional teams to translate complex weather/climate data into actionable insights through an agricultural commodity lens
• Present weather and research output to both technical and non-technical stakeholders on a regular basis
• Interact with our AI Hub in Singapore and ensure LDC benefits from the most recent developments in weather-related AI

Experiences:

• At least 1-3 years of relevant experiences
• Strong background in meteorology and forecasting
• Proven experience in research and data analytics
• Experience with agricultural commodities and trading is a plus
• Experience with modeling techniques and machine learning algorithms is a plus
• Experience with Google Earth Engine is a plus
• Genuine interest in commodity trading industry
• Strong analytical and statistical capabilities, with a proven track record in problem-solving
• Excellent communication skills
• Ability to work independently and in collaborative settings

Technical Skills:

• Proficiency in Python
• Experience in data analysis libraries (e.g. Pandas, NumPy, SciPy)

Languages:

• English (Fluent)

Academics:

• PhD or Master’s in Atmospheric Science, Agricultural Science, Meteorology or related field of study

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Technology Solutions Office is looking for Data Analyst

Internal Code: A24040

What will you do?

• You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality.
• You will design, develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
• You will be responsible to create, design and develop intricate data processing pipelines.
• You write clean and iterative code for continuous delivery practices to deploy, support and operate data pipelines.
• You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stacks.

What are we looking for?

• From 3 to 5 years of experience working as a data analyst or related role.
• Hands-on experience in Tableau, Power BI, AWS Glue, AWS RedShift, QlikSense
• Proficiency in programming languages such as Python, Java or Scala.
• Track record in implementing systems using Hive, Scala will be preferred.
• Strong in data modelling, data processing frameworks’ tools such as Hadoop, Spark, SQL is an advantage.
• Good understanding of analytics and data warehouse implementations
• Experience with Cloud Technologies is a plus.
• Good understanding and completion of projects using Agile methodology.
• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders.
• Bachelor’s in Computer Science, Engineering, or a related field.

What do we offer?

• Fun working environment
• Employee Wellness Program

Does it sound like something you are interested in exploring further? Please be in touch with our team for an initial chat at [email protected]

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Activate Interactive Pte Ltd.

Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice (https://www.activate.sg/privacy-policy) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

Job Description: Assoc Director / Senior Manager, HR Data and Analytics APAC
Department: Human Resources
Location: APAC Region

Reporting lines: Direct - Head of Compensation & Benefits and HR Operations APAC, Dotted – Chief Talent Officer APAC

Job Summary:

The Assoc Director / Senior Manager, Data and Analytics (C&B and HR Operations) will have dual roles in managing both HR data analytics /reporting supporting Compensation and Benefits and Talent programs across APAC region. This role will ensure the effective use of HR platforms to support the Talent Management future direction, providing actionable insights to inform effective workforce planning and data & statistical analysis whilst maintaining high standards of data accuracy and reporting.

Key Responsibilities:

1. Regional Coordination and Point of Contact:
   • Serve as the regional point of contact for C&B, HR Operations and Talent Management for both APAC and Groupe on Publicis Global programs and platforms
2. C&B, Platform and System Management:
   • Stay updated with C&B programs and HR platforms best practices and new functions
   • Partner with markets on roll-out and updates of global C&B programs and HR platforms and systems within the APAC region
   • Work with APAC markets to ensure accurate and timely information availability across all HR platforms aiming for 100% accuracy
3. Data Analysis and Reporting:
   • Collaborate with subject matter experts across functions including HR, Finance, Talent Acquisition to gather and interpret requirements and develop metrics, reports and dashboards to support the needs of the business
   • Use advanced data analysis to influence changes to operations, processes, policies and programs
   • Design and deploy data pipelines and solutions to help business make better people decisions
   • Deploy leading analytics techniques to deepen employee engagement and development
   • Develop Predictive Analytics based on HR requirement
   • Identify data source and information required to perform predictive Analytics
   • Identify the relevant tools or system required to ensure consistent review of the analytics
   • Design analytical solutions, implement algorithms, and perform experiments to define the next generation HR capability
   • Stay abreast of emerging trends and best practices in HR analytics, data science and technology and identify opportunities for innovation
4. Operational Support:
   • Manage all HR reporting for the function i.e. C&B, Operations, Talent Management etc
   • Own and optimize existing reporting (Monthly, Quarterly, Annually) as part of the Talent management framework. This will include design sprints, support to business growth areas, and HR reports to inform the HR organization and the business
   • Manage regional HR market survey submissions  
   • Support on the development of HR related tools, playbook and framework
   • Manage platform users, and support the team with platform-related issues, in coordination with global support
5. Onboarding and Training:
   • Provide training to market HR teams on specific analysis and reporting functionalities.

Publicis Platforms

Qualtrics, ICIMS, Career Conversations, Lion Alert, Marcel, Career Setting

What we’re looking for:

• Proven experience working with unstructured data to produce meaningful insights and problem-solve business problems.
• Hands-on experience mining and deriving insights from large datasets; adept in using data analytics to draw insights from data and visualization tools for presentation of data to effectively convey meaningful insights
• A strategic mindset that understands the business and how HR can influence better decision making when the data is used to tell a story with the ability to effectively communicate technical concepts to non-technical stakeholders
• Experience working in a global data intensive environment, where HR systems, data management, and report generation are primary functions of your role.
• Effective communication and project management skills
• Ability to work collaboratively with regional, global teams and stakeholders
• Strong attention to detail and commitment to accuracy and quality in data analysis and reporting
• Experience with HR Sytems (e.g. SAP) and other HR technology platforms is a plus

Preferred Skills:

• Advance proficiency in MS Office, including Powerpoint and superior Excel skills, Tableau and statistical software e.g., Power PBI, SPSS, R, Python, Tableau
• Experience with predictive analytics and data visualization.
• Knowledge of APAC regional HR practices and compliance requirements.

Key Competencies:

• Analytical Thinking
• Data Management
• Project Management
• Communication
• Collaboration
• Attention to Detail
• Curiosity

Headquartered in Singapore, Actxa Pte Ltd is a deep tech company founded in 2015 that leverages artificial intelligence to create next generation preventive healthcare solutions.

We are an affiliated company by common shareholders with Activate Interactive Pte Ltd which company logo appears on the top of this page.

Actxa creates evidence-based, personalizes health insights in the domains of physical activities, sleep quality, body composition, stress and recovery, heart health and blood glucose evaluation and monitoring.

To improve population health, Actxa establishes worldwide partnerships and research collaborations to develop critical preventive health models to help people avert chronic diseases such as diabetes and hypertension.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We have opportunities for you to grow your career path and are looking for talented professionals to join our team.

More information about us: https://www.actxa.com

Actxa is hiring for Lead Data Scientist

Internal Code: AX24002

We are seeking a passionate and visionary Lead Data Scientist to lead our data science efforts in shaping the future of healthcare in preventive health using Artificial Intelligence (AI), Machine Learning (ML) and data analysis. Your work will directly contribute to improving the health and well-being of the population, reducing healthcare costs, and championing a proactive approach to healthcare.

In this managerial-level role, you will drive the company’s technology solutions and research initiatives. You are responsible for leading and managing a team of Data Scientists and Researchers in delivering science and data-driven innovations in preventive health and population wellness.

This role requires you to have prior experience in end-to-end solutions deliveries from research to implementation involving Artificial Intelligence, data analysis, Machine Learning (ML), data analysis and statistical modeling.

What will you do?

1. Data Analysis and Modeling:

• Utilize advanced statistical techniques, artificial intelligence and machine learning algorithms to analyze complex datasets.
• Develop predictive and prescriptive models to achieve business and commercial goals.
• Explore and identify patterns, trends, and anomalies in data.

2. Team Leadership:

• Lead, mentor, and manage a team of data scientists and researchers.
• Provide guidance and direction for project planning, execution, prioritization and documentation.
• Foster a collaborative and innovative team culture.

3. Research Strategy:

• Define research objectives, strategies, and roadmaps in alignment with organizational goals.
• Develop and adhere to clinical research protocols for studies involving human subjects.
• Stay updated with the latest developments in data science and research methodologies.
• Identify emerging technologies and tools that can enhance research capabilities.
• Establish research partnership and collaboration with local and overseas institutions.

4. Data Collection and Preparation:

• Oversee data acquisition, cleaning, and preprocessing.
• Ensure data quality and integrity to maintain the accuracy of analyses.
• Collaborate with data engineering teams to streamline data pipelines.

5. Experimentation and Hypothesis Testing:

• Design experiments and conduct hypothesis testing to validate research findings.
• Evaluate the effectiveness of various models and methodologies.
• Implement A/B testing and other statistical methods to drive decisions.

6. Cross-functional Collaboration:

• Collaborate with consultants, advisors and internal teams, such as software & hardware solution, sales, marketing, and operations, to address business challenges and commercialisation opportunities.
• Provide data-driven recommendations and insights to support decision-making in clinical research projects.

7. Project Management:

• Manage multiple research projects simultaneously, including resource allocation and timelines.
• Monitor project progress, identify risks, and implement mitigation strategies.

8. Continuous Improvement:

• Drive process improvements and best practices in data science and research.
• Evaluate and implement new tools and technologies to enhance research capabilities in clinical research studies.

What are we looking for?

• Advanced degree (Ph.D. or Master's) in a relevant field such as Computer Science, Data Science, Statistic, Mathematics, Biomedical Engineering, Electrical & Electronics Engineering, or related discipline.
• 5 years of experience in artificial intelligence, data analysis, statistical modelling, and machine learning with strong programming skills in languages such as Python, R, SQL and C/C++.
• Candidates with domain knowledge in wearable technologies, preventive health, wellness, fitness, mental health, chronic disease prevention & management, population health, etc will be considered favourably.
• Ability to think critically and solve complex problems.
• Proven track record of successful project management and delivery of data-driven solutions.
• Continuous learning mindset, staying updated with the latest advancements in health tech, med tech, chronic disease prevention and management, and artificial intelligence.
• Excellent communication and leadership skills.
• Natural tenacity, resilience, and determination.

What do we offer?

• Fun working environment
• Employee Wellness Program

Actxa Pte Ltd is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Actxa Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, gender, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Actxa Pte Ltd.

Your personal data will be processed for the purposes of managing Actxa Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice ( https://www.actxa.com/privacy-policy ) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

About This Opportunity

As a customer data scientist you will help customers be successful in their AI Journey. You will aid them in leveraging AI in the organization for different use-cases, building successful models and deploying them in production environments, bringing GenAI capabilities in the AI journey of the customers, and ensuring that they get business impact and value.What You Will Do

• Deliver data science and/or machine learning professional services to our customers.
• Support customers by helping build custom data models, transformation, scorers/optimization loss functions/metrics that can be leveraged with H2O Driverless AI and help improve training performance for the customer use cases/domains.
• Demonstrate different use cases and data science capabilities by building end to end AI Applications using H2O products and solutions.
• Design and run training sessions for our customers in data science concepts as well as using H2O products. Training will need to be able to be delivered to audiences with varying data science skills and abilities.
• Help customers understand the nuances of data science, expert settings of H2O Driverless AI and H2O open source, and the strategies of experiment tuning that you would use to incrementally improve model performance. This also includes explaining model performance, model interpretability, and post deployment model monitoring concepts so as to ensure the business is making the right decisions on the model predictions.
• Translate business cases and requirements into value based technical solutions through the architecture of machine learning workflows and systems from data ingestion to model deployment.
• Participate in the development of ML solutions and AI applications for internal use, contributing to the advancement of our technology stack.
• Build and deploy machine learning models and AI applications to address customer-specific challenges.
• Work closely with cross-functional teams to gather, preprocess, and analyze data to develop data-driven solutions.

What You Bring

• Proven experience in data science, machine learning, and AI with a minimum of 2 years of hands-on experience.
• Experience in customer facing while dealing with different teams – technical, business, domain people.
• Experience in delivering technical sessions with different customer teams
• Interest in Generative AI and Large Language Models (Prompt Engineering, Retrieval Augmented Generation, LLMOps, Making custom LLM models, fine tuning etc, Guardrails)
• Proficiency in programming languages such as Python.
• Experience with solving machine learning problems using H2O ML products (plus), Python, R
• Knowledge and experience using a variety of machine learning techniques (supervised/unsupervised, clustering, decision tree learning, neural networks, etc.) and their real-world advantages/drawbacks/tuning techniques.
• Experience visualizing and presenting (EDA) to stakeholders using H2O Wave (plus), or other standard data visualization libraries in the Python and R stacks or using Tableau/PowerBi.
• In depth understanding of machine learning algorithms and experience applying Gen AI/ML to solve real work problems, including deployment of end to end ML pipelines
• Strong problem-solving skills and the ability to work independently and as part of a team.
• Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Headquartered in Singapore, Actxa Pte Ltd is a deep tech company founded in 2015 that leverages artificial intelligence to create next generation preventive healthcare solutions.

We are an affiliated company by common shareholders with Activate Interactive Pte Ltd which company logo appears on the top of this page.

Actxa creates evidence-based, personalizes health insights in the domains of physical activities, sleep quality, body composition, stress and recovery, heart health and blood glucose evaluation and monitoring.

To improve population health, Actxa establishes worldwide partnerships and research collaborations to develop critical preventive health models to help people avert chronic diseases such as diabetes and hypertension.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We have opportunities for you to grow your career path and are looking for talented professionals to join our team.

More information about us: https://www.actxa.com

Actxa is hiring for Senior Data Scientist

We are seeking a highly skilled and motivated Data Scientist to join our dynamic team in shaping the future of healthcare in preventive health using Artificial Intelligence (AI), Machine Learning (ML) and data analysis..

The ideal candidate will directly contribute to improving the health and well-being of the population, reducing healthcare costs, and championing a proactive approach to healthcare.

What will you do?

1. Data Collection, Processing and Preprocessing:

• Collect, clean, preprocess, and wrangle raw digital health data to ensure its quality, integrity, and suitability for analysis and modeling.

2. Data Analysis and Modeling:

• Utilize advanced statistical techniques, artificial intelligence and machine learning algorithms to analyze complex datasets.
• Develop predictive models to identify patterns, trends, and insights for proactive health interventions.

3. Feature Engineering and Model Development:

• Identify and engineer relevant features from diverse healthcare data sources to enhance model accuracy and performance.
• Design, develop, and fine-tune machine learning models for predicting health risks and outcomes.

4. Productization and Code Transfer:

• Follow through toward productization by deploying models into scalable, production-ready solutions.
• Implement data pipelines and automation processes for efficient data processing and extraction.

5. Documentation and Reporting:

• Document research, experiments, modelling techniques, and methodologies followed in projects.
• Provide comprehensive reports and presentations on results, findings, and recommendations derived from data analysis and predictive models.

6. Collaboration and Communication

• Collaborate with cross-functional teams including clinicians, data engineers, and product managers to understand business requirements and align data science initiatives with company goals.
• Effectively communicate complex findings and insights to both technical and non-technical stakeholders.

7. Continuous Improvement and Innovation:

• Stay abreast of the latest advancements in data science, machine learning, and healthcare technologies.

What are we looking for?

• Bachelor or Master degree in Data Science, Biostatistic, Mathematics, Biomedical Engineering, Electrical & Electronics Engineering, Computer Science or related discipline.
• 3+ years of experience in data science, healthcare analytics, or preventive medicine
• Proficiency in programming languages: Python, R, SQL
• Experience with machine learning frameworks: TensorFlow, PyTorch, Scikit-learn
• Good understanding of biostatistics, epidemiology, and research design
• Familiarity with cloud-based platforms: AWS & Ali Cloud
• Experience with wearable device data, signal and noise processing will be preferred.
• Keen interest in Chronic disease prevention, Population health management and Digital health interventions.
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Natural tenacity, resilience, and determination.

What do we offer?

• Fun working environment
• Employee Wellness Program

Actxa Pte Ltd is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Actxa Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, gender, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Actxa Pte Ltd.

Your personal data will be processed for the purposes of managing Actxa Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice ( https://www.actxa.com/privacy-policy ) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

Headquartered in Singapore, Actxa Pte Ltd is a deep tech company founded in 2015 that leverages artificial intelligence to create next generation preventive healthcare solutions.

We are an affiliated company by common shareholders with Activate Interactive Pte Ltd which company logo appears on the top of this page.

Actxa creates evidence-based, personalizes health insights in the domains of physical activities, sleep quality, body composition, stress and recovery, heart health and blood glucose evaluation and monitoring.

To improve population health, Actxa establishes worldwide partnerships and research collaborations to develop critical preventive health models to help people avert chronic diseases such as diabetes and hypertension.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We have opportunities for you to grow your career path and are looking for talented professionals to join our team.

More information about us: https://www.actxa.com

Actxa is hiring for Data Scientist

We are seeking a highly skilled and motivated Data Scientist to join our dynamic team in shaping the future of healthcare in preventive health using Artificial Intelligence (AI), Machine Learning (ML) and data analysis..

The ideal candidate will directly contribute to improving the health and well-being of the population, reducing healthcare costs, and championing a proactive approach to healthcare.

What will you do?

1. Data Collection, Processing and Preprocessing:

• Collect, clean, preprocess, and wrangle raw digital health data to ensure its quality, integrity, and suitability for analysis and modeling.

2. Data Analysis and Modeling:

• Utilize advanced statistical techniques, artificial intelligence and machine learning algorithms to analyze complex datasets.
• Develop predictive models to identify patterns, trends, and insights for proactive health interventions.

3. Feature Engineering and Model Development:

• Identify and engineer relevant features from diverse healthcare data sources to enhance model accuracy and performance.
• Design, develop, and fine-tune machine learning models for predicting health risks and outcomes.

4. Productization and Code Transfer:

• Follow through toward productization by deploying models into scalable, production-ready solutions.
• Implement data pipelines and automation processes for efficient data processing and extraction.

5. Documentation and Reporting:

• Document research, experiments, modelling techniques, and methodologies followed in projects.
• Provide comprehensive reports and presentations on results, findings, and recommendations derived from data analysis and predictive models.

6. Collaboration and Communication

• Collaborate with cross-functional teams including clinicians, data engineers, and product managers to understand business requirements and align data science initiatives with company goals.
• Effectively communicate complex findings and insights to both technical and non-technical stakeholders.

7. Continuous Improvement and Innovation:

• Stay abreast of the latest advancements in data science, machine learning, and healthcare technologies.

What are we looking for?

• Bachelor or Master degree in Data Science, Biostatistic, Mathematics, Biomedical Engineering, Electrical & Electronics Engineering, Computer Science or related discipline.
• 3+ years of experience in data science, healthcare analytics, or preventive medicine
• Proficiency in programming languages: Python, R, SQL
• Experience with machine learning frameworks: TensorFlow, PyTorch, Scikit-learn
• Good understanding of biostatistics, epidemiology, and research design
• Familiarity with cloud-based platforms: AWS & Ali Cloud
• Experience with wearable device data, signal and noise processing will be preferred.
• Keen interest in Chronic disease prevention, Population health management and Digital health interventions.
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Natural tenacity, resilience, and determination.

What do we offer?

• Fun working environment
• Employee Wellness Program

Actxa Pte Ltd is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Actxa Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, gender, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Actxa Pte Ltd.

Your personal data will be processed for the purposes of managing Actxa Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice ( https://www.actxa.com/privacy-policy ) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

About this job:

The role holder, based in Singapore, will join the global analytics team within Life & Health, and should make a significant contribution to the enhancement of PartnerRe Life & Health’s value proposition.

They will be responsible for providing advice and expertise to internal and external clients, via:

• Import and analysis of data to estimate targets associated with disability, mortality, and longevity (and their drivers)
• Development & deployment of predictive models
• Effective data driven storytelling
• Consultative activities related to analysis of data
• Research and product development on application of analytic techniques to existing and new product areas
• Development of self and others on analytic techniques
• Internal and external presentations and publications.
   

• Excellent career progression structure
• Opportunities for professional development
• Good overall company benefits

As an Assistant Manager, Data Analyst, you will be responsible for the following duties:

• Manage databases and systems to capture, store, and organize data related to learning initiatives.
• Leverage tools like Excel, SQL, and Python to extract, analyze, and interpret data, delivering insights that inform Learning & Development (L&D) strategies and operations.
• General regular and on-demand reports on key metrics, including budget usage, course completion rates, and training impact.
• Optimise workflow to increase efficiency, minimize duplication, and improve productivity.
• Partner with other organisation to integrate systems and automate data transfers across platforms.
• Any other ad hoc duties as assigned.

Requirement:

• Possess a Degree in Data Science, Information Systems, Business, or a related field

To apply, simply click on the ‘’apply’’ button in the job advertisement or alternatively, you can send in your resume via email

Email Address: [email protected]

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

ALLIED SEARCH PTE. LTD.

EA LICENSE : 19C9777

Rapsodo is a Sports Technology company with offices in the USA, Singapore, Turkey & Japan. We develop sports analytics products that are data-driven, portable and easy-to-use to empower athletes at all skill levels to analyse and improve their performance. From Major League Baseball star pitchers to Golf tour players, athletes use Rapsodo technology to up their game across the world. Trusted by coaches and players from youths to professionals, Rapsodo provides real-time insights for all-time performance.

We are innovative, focused, and rapidly growing. We are continuously looking for team players who will stop at nothing to deliver state-of-the-art solutions as part of Team Rapsodo.

About the role:

As a Data Engineering Intern at Rapsodo, you’ll play an essential role in building and optimizing the data infrastructure that powers decision-making and innovation throughout our organization. This role is ideal for students passionate about data engineering, with a foundational knowledge of data analytics to support meaningful insights. You’ll gain hands-on experience with cutting-edge technologies, applying your skills to bridge data engineering and analytics, and making an impact on projects in sports technology and business strategy.

Key Responsibilities:

·       Participate in the design, development, and maintenance of Rapsodo’s data systems, using tools like Google BigQuery, Kafka, and GCP Pub/Sub.

·       Support data ingestion, processing, and ETL (Extract, Transform, Load) processes to deliver reliable data for analytics teams.

·       Collaborate with data analysts and scientists to ensure clean, structured data is available for analysis, reporting, and visualization.

·       Assist in the setup and monitoring of real-time data pipelines, learning to identify ways to streamline data ingestion and reduce latency.

·       Work on data collection, cleaning, and preprocessing, preparing data for analytics and helping generate insights for diverse projects.

·       Collaborate with the team to troubleshoot and improve data pipeline and infrastructure efficiency.

·       Create basic reports, dashboards, and visualizations with tools like Tableau or Power BI, conveying valuable insights to business stakeholders.

·       Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, or a related field.

·       Knowledge of SQL and familiarity with Google BigQuery or other data warehousing solutions.

·       Exposure to programming languages such as Python or R and experience with data manipulation, cleaning, and preprocessing techniques.

·       Interest in or exposure to data streaming technologies (e.g., Kafka, GCP Pub/Sub) and ETL development.

·       Basic understanding of statistical analysis and hypothesis testing to support data-driven insights.

·       Experience with data visualization tools (e.g., Apache Superset, Tableau, Power BI, or Matplotlib) is a plus.

·       Excellent written and verbal communication skills.

·       Strong analytical skills, attention to detail, and problem-solving abilities.

·       Strong interpersonal skills to collaborate effectively with cross-functional teams and stakeholders.

·       An inquisitive mindset, coupled with a desire for continuous learning and growth.

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

• 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