Working Location: Labrador Park

Working Hours: 10am to 6pm (Mon to Fri)

JOB DESCRIPTION

• Collect, clean, and analyze data to support business decision-making
• Create and maintain reports, dashboards, and presentations to visualize insights
• Conduct research to identify trends, opportunities, and risks within the industry
• Analyze workflows and recommend improvements for efficiency
• Work with teams to support key initiatives and achieve business goals
• Track market and industry developments to provide actionable insights
• Use software tools like Excel, SQL, or data visualization platforms to manage data
• Handle special projects or tasks as assigned by the team lead

JOB REQUIREMENTS

• Minimum Diploma and above
• Proficiency in Excel and basic understanding of data analysis tools
• Strong analytical skills with the ability to interpret data and identify trends
• Clear and effective communication for presenting findings and collaborating with teams

EA Reg. Number: R21100629

EA License Number: 22C1278

“ Without continual growth and progress, such words as improvement, achievement, and success have no meaning”

- Benjamin Franklin

The learning process is instrumental in shaping one's personality and the way they deal with life’s situations. That is why proper guidance is necessary for the success of every individual.

We pride ourself in nurturing our people; the knowledge and skills they acquired today will drive productivity and value in the long run.

What you will do:

· Represent clients’ products and provide the most suitable package to customers based on their needs

· Monitor brand evolution and competitors’ pricing

· Build customer relationships and organize daily work schedule to call on existing or potential sales outlets

· Attend product trainings and upskilling topics

· Provide solutions and ideas to assist company’s growth and expansion

Requirements:

· Minimum 17 Years Old

· Strong interpersonal and communication abilities

· Motivated and self-discipline

· Adaptable in a fast-paced, dynamic environment

· Able to work well with detailed information

· Willingness to learn all aspects of business operations work

Time waits for no one. If not now, when?

❗️Our company is expanding and we want YOU❗️

We are a bunch of dynamic individuals who works towards being the Leader in the Events Marketing Industry

PURPOSE

• Independently manage analytics and predictive modelling project from end to end
• Conduct analytics and modelling to generate business insights.
• Use advanced analytics and artificial intelligence to improve modelling accuracy

KEY ACCOUNTAIBILITIES

• Understand business needs
• Design modelling methodology
• Conduct data sourcing
• Integrate necessary data
• Conduct data discovery and data transformation
• Build models to find best optimal
• Test model
• Drive model execution
• Model review and optimization

QUALIFICATIONS / EXPERIENCE

• Bachelor/Master on Statistics, Information Engineering, Computer Science, Mathematics
• SAS certificates
• Machine Learning certificates
• More than 5 years data analytics, statistical modelling or machine learning working experience

KNOWLEDGE & TECHNICAL SKILLS

• Statistics Modelling Skill: linear regression, logistic regression, decision tree, neural network, random forest, k-means, ARMA, association rule
• Tool: SAS, SPSS, R, Python, RapidMiner, Spark, pylearn2, SQL

Job Description

SIA has multiple positions for junior and senior data scientists to drive our AI, data science and business analytics initiatives.

Key Responsibilities include:

• Member of an in-house AI and data science development team that works on AI (including areas in generative AI, autonomous agent, NLP, computer vision and recommender system), mathematical optimization, game theory, and experimental design.
• Work closely with business stakeholders to create impactful and intelligent features/services in AI, data science and data analytics. Propose and build scalable ML/DL solutions. Deploy them as API microservices for use by software applications and business users for faster and more effective decision making.
• Oversee the technical work of external technology partners and provide them datasets to deliver products/services in AI and data science. Support business users in the assessment/ validation of partner-supplied prediction models and in their deployment to production cloud.
• Work closely with application development teams to operationalize and integrate AI/ML capabilities in API microservices.
• Note: You could be posted to any subsidiary in SIA Group.

Requirements

• BS in Computer Science, Mathematics, Statistics, Physics or related discipline is required. PhD and MS degrees related to machine learning and other AI disciplines are preferred.
• Intermediate programming skills in Python. Conversant with algorithm design/analysis, data structure and SQL. Familiarity with functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java and C# is a plus.
• Exposure in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• Relevant internship or industry experience as a hands-on data scientist/AI engineer in shallow and/or deep learning (you should be very comfortable with most topics covered in the free undergraduate textbook by Gareth James, “An Introduction to Statistical Learning – with Applications in Python”, 2023). Additional exposure in some of the following areas is a plus:

1. Use of recent proprietary/open-source LLMs through prompt engineering (such as OpenAI ChatGPT and Bing Chat). Familiarity with LLM application/data frameworks (such as LlamaIndex and LangChain).
2. Experience of using GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
3. Familiarity with Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.

• Some hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Good interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.

We are looking for a dynamic and enthusiastic individuals to join our team. Being part in a multinational marketing company across Asia, we represent a vast of accredited brands worldwide. This is an excellent opportunity for someone passionate to gain hands-on experience in a fast-paced environment.

Your Responsibilities:
- Create awareness for clients' brands/products and services through face-to-face marketing.
- Drive clients' revenue growth, delivering profitable strategies.
- Develop team leadership skills to coach and drive standards.
- Coordinating operations and organization expansion plans.

Your Requirements:
- Driven and hardworking individuals.
- Ability to work in a team.
- A high desire for self-development.
- Having a great learning attitude and mentality.

Your Benefits:
- Coaching and 1-on-1 guidance provided along the way. Entry level welcome.
- Overseas exposure opportunities and international development workshops.
- Vibrant and collaborative team environment.
- Well structured career development/progression.

JOIN US NOW!

Looking for a stepping-stone to explore and excel in the events and marketing industry?

We are an outsourced events and marketing company that pride ourselves by working with the pace setters and leaders of various industries. As we are representing all the reputable clients, we have a proven coaching system to ensure all our people are well equipped with the right skills set to carry out campaigns for different projects.

Your rewards and benefits:

• Global and regional travel opportunities
• Performance based – Not based on seniority
• Fair and transparent advancement structure
• Progressive skill set and personal development program

We want you if you are:

• Humble and willing to learn
• Professional but not boring
• Love working in a team based environment
• Passionate in meeting new people

Do send in your application and resume to start your journey with us!

Our client is actively searching for a Data Analyst/ Senior Data Analyst to join their team!
If you are a dynamic individual seeking a new career opportunity, read further!

You will be a member of the Department of Infectious Diseases, where you will provide support in the areas of data collection, management and analysis. Your main responsibility will be in supporting the ICU Multidisciplinary Infectious Diseases (IMI) service, Haematology-Infectious Diseases clinical service and other related services, where you will be responsible for collecting, organizing and analyzing relevant data.

It will involve the administration of current data management systems, as well as planning and developing new databases, as and when required. You should have the skills and ability to manage electronic information in multiple formats, and to process and analyze this data for reporting and presentation. Your work requires proficiency with databases, analytical and reporting tools, an ability to learn quantitative tools/software and methodologies, and use of presentation software and good communication skills. You will have the opportunity to be a part of multidisciplinary teams for a different range of projects including research, quality improvement and education. In addition, prior experience in healthcare settings is preferable.

The responsibilities of this role are:

• Manage existing databases, including extracting, cleaning, processing and analyzing data for routine and ad-hoc reports, and trouble-shooting of existing data systems
• Develop new and ad-hoc databases for clinical audits, surveillance programmes and research projects
• Develop a methodology and system for managing and extracting complex data from various databases or sources, which will require proficiency in logical data models and developing data dictionaries
• Produce documentation of new or existing systems and data-management support documents like standards, best practices, policies and procedures etc
• Conduct presentations describing data structures, data analysis methods, and results of data analysis
• Preparation of quarterly to annual reports related to IMI service or other related services
• Support other related research activities as directed by Head of IMI service
• Be a member of multidisciplinary teams which may involve ICU physicians or other specialty physicians, ID physicians, microbiologists, pharmacists
• Perform general administrative duties as required
• Participate actively as a team member in quality improvement projects at hospital-wide and departmental levels
• Work beyond routine work responsibilities, in the exigencies of services e.g. during infectious disease outbreaks
• Carry out any other duties or responsibilities assigned by the Supervisor and/or the Head of Department
• Applicants must have high integrity, a strong commitment to maintaining patient data confidentiality, be eager to learn and be proactive in contributing to the team

The ideal candidate will need to have the following qualities and experience:

• Minimum Bachelor's degree in Computer Engineering, Software Engineering or equivalent with at least two (2) years of experience.
• Proficient in programming languages such as Python (e.g., Flask, Django), R (e.g., Shiny), SQL.
• Experience in managing AI/ML products is highly desirable.
• Experience in SharePoint, Excel (Visual Basic), HTML, XML, Java preferred.
• Knowledge in Data anonymization, de-identification and re-identification process and techniques is preferred.
• Possess skills in statistical modeling and machine learning with experience in data storage, processing, analytics and distribution software and platforms.
• Strong communication/people skills required to interact with data scientists, engineers, business end-users and vendors to design and develop solutions.
• Ability to write clear documentation of procedures, and ability to write specifications for data models to be developed.
• Participate actively as a team member in organizational development and quality improvement.
• Be a change agent and inculcate mindset for change for hospital-wide and departmental- level.
• Able to work beyond routine work responsibilities and office hours, in the exigencies of services e.g., during infectious disease outbreaks.

CTES Consulting PTE LTD

EA License No.: 07C3481

EA Personnel Registration No.: R1104237 (Jaclyn Tan)

An exciting career awaits the right candidate! Click "Quick Apply" to register your interest now.

All applicants' CV will be treated with the strictest confidentiality. We regret to inform that only shortlisted candidates will be contacted.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Data Science at Stripe is a vibrant community where data analysts, data scientists and engineers learn and grow together. You will work with some of Stripe’s most fundamental and exciting data, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and will seek to align you to the most relevant team based on your background.

What you'll do

In this role, you will partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. You will work closely with partners to extract insights from Stripe's rich and complex data. You will also work with leaders to translate business needs into data problems. You will build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You will deliver actionable business recommendations through analyses and data storytelling.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum Requirements

• 7+ years experience in Business Intelligence Engineering, Data Engineering, Data Analysis or Data Science roles, building data pipelines and analyzing large datasets to solve problems
• Proficiency in SQL and Python
• Strong statistical knowledge
• Expertise in visualization and using data insights to make recommendations and achieve goals
• Proven ability to manage and deliver on multiple projects with great attention to detail
• Ability to clearly communicate results and drive impact
• Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights.

Preferred qualifications

• Master’s degree in Mathematics, Statistics, Economics, Engineering, or a related technical field.
• Prior experience at a growth stage internet or software company.
• Experience with distributed data frameworks like Hadoop and Spark to write and debug data pipelines.
• Good understanding of development processes and best practices like engineering standards, code reviews, and testing.

Hybrid work at Stripe
Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.

The holder of the position is mainly responsible for the following areas in coordination with his / her superior:

• Design and build the DWH database models (star schema).
• Ensure data quality, security and compliance with industry standards and internal guidelines.
• Work with business counterparts as well as IT Business Consulting, Infrastructure teams and external vedors on new data requirements.
• Ensure proper documentation of data infrastructure, data models, workflows as well as security concepts in accordance with internal security policies.

What you'll need

· Looking for a Data Engineer more focused on Database modelling, Currently in Oracle environment and going forward with GCP stack.

· Expertise with ETL (extract, transform, load) processes. Familiarity with BI tool integration such as Power BI and Tableau.

· Strong analytical thinking, problem-solving capability, and ability to translate business needs into technical specifications.

· Customer-oriented with good communication and interpersonal skills.

This will be a 1-year renewable contract based in One North.

Responsibilities

• Development and enhancement of dashboarding capabilities for audit, compliance, and service management reporting
• Promote enhancement of IT controls, processes, and security measures
• Implement initiatives and tools to analyse trends and provide oversight on compliance matters
• Improve effectiveness of update, tracking and reporting of compliance status
• Develop IT compliance guides
• Conduct briefing/awareness campaigns on IT compliance requirements, policies, and best practices.
• Coordinate internal and external audits and policy/ compliance-related assessments
• Monitor and report on status and issues
• Perform internal checks to evaluate effectiveness of IT controls
• Provide support to ad-hoc administrative, comms or operational work that may arise

Qualifications/ Qualities:

• Minimum Diploma in information technology, Computer Science, Engineering or a related field
• Minimum 2 years of working experience in Analytic tools (e.g. MS Power BI, Power Automate etc.) for dashboarding, reporting, and compliance monitoring.
• Experience in coordinating workstreams and tasks undertaken by functional teams within IT division and beyond, collating returns and performing reasonable analysis.
• Knowledge in IT audit or IT compliance or IT policy or IT risk management
• Knowledge of Information Security, cybersecurity principles and best practices
• Strong communication skills
• Analytical mindset
• Attention to detail
• Problem-solving abilities
• Team player, working collaboratively with cross-functional teams, auditors, management, and external stakeholders.
• Adaptable and able to work independently

Job Description & Requirements

Requirement – DC Operations

Shall provide Data Centre (DC) operations at the Customer’s premises and premises identified by the Customer. The DC Operations shall cover the following:

1. DC Environment Support; and

2. DC Facilities Management Services.

DC Environment Support

Shall monitor the facilities infrastructure in the DC to ensure that they are within the operating levels defined by the Customers. The infrastructure to be monitored shall minimally include:

(a) Power infrastructure (such as Uninterrupted Power Supply and power distribution boards);

(b) Cooling Infrastructure (such as computer room air-conditioning units);

(c) Fire detection and suppression systems (such as FM200, water sprinklers, fire extinguishers);

(d) Environment monitoring system (such as humidity and temperature); and

(e) Water leakage detection.

(f) Shall ensure the DC infrastructure is monitored on twenty-four (24) hours a day, seven (7) days a week, inclusive of Saturdays, Sundays and Public Holidays.

(g) The Vendor shall inform the Customer within one (1) hour when problems are detected.

(h) Shall work with the Customer and Customer-appointed Supplier to resolve any infrastructure issues detected in accordance to the support hours as required by the Customer.

DC Facilities Management Services

(a) Shall ensure, through daily inspection, that the general cleanliness and tidiness of the data centre are maintained by the Customer-appointed Supplier.

(b) Shall work with Customer-appointed Supplier on site preparation tasks such as network cabling and electrical wiring, when required.

(c) Shall ensure the network cabling in the data centre and within the racks are neat and tidy.

(d) Shall work with the Customer-appointed Supplier for both scheduled and ad-hoc maintenance, servicing, repair and upgrading works to the infrastructure at the Customer’s premises and premises identified by the Customer.

(e) Shall plan and coordinate the maintenance activities. This includes polling the affected parties, obtaining the Customer’s approval, and sending out messages to inform the affected party.

(f) Shall obtain the Customer’s approval before finalizing the plan for any activity.

(g) Shall provide on-site support during the maintenance activities unless otherwise agreed by the Customer.

(h) Shall maintain up-to-date documentation of the data centre design layouts.

(i) Shall manage the physical security of the data centre in accordance with the guidelines provided by the Customer.

(j) Shall monitor the following physical security infrastructure to ensure they are within the operating levels defined by the Customer:

· Security Alarm and Security Card Access System; and

· Closed-Circuit Television (CCTV).

(k) Shall ensure that only authorised personnel are allowed to access the DCs.

· The Vendor shall ensure that all visitors to DCs are escorted during their activities on-site.

· The Vendor shall ensure that the visitors record their activities in the on-site log.

Requirement – DC Operations

Minimum Requirement:

The Vendor shall ensure, through daily inspection, that the general cleanliness and tidiness of the data centre are maintained by the Customer-appointed Supplier. The DC Operator shall possess minimally the following skill sets:

(a) One (1) years of working experience in Data Centre Engineer Operations experience;

(b) Certified Data Centre Facilities Operations Manager (CDFOM) or equivalent; and

(c) ITIL v4 Foundation Certification or equivalent

Work Location: Woodlands/Yishun

Job description:

• Client currently has several ongoing projects on the Azure platform, including Finance, Commercials, and Operations. This role requires a support engineer primarily focused on existing projects and understanding the team's dynamics.
• The role requires someone capable of directly addressing system issues and resolving them.
• Users report issues, such as error messages and screenshots etc. The data engineer needs to log into the production system, trace processes end-to-end, identify the root cause, and resolve the problem.
• The engineer is expected to verify the accuracy of data and processes, ensuring correct numbers and outputs.)Operations

Requirements:

• At least (2) years of hands-on experience as Azure Data Engineer using:

- Azure Data Factory - Azure Synapse Analytics / Data Warehouse Preferably with relevant certifications from Microsoft including Azure Data

• Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate
• At least (2) years of hands-on experience in

- Performing data Ingestion using Data factory & T-SQL stored procedure and data harmonizing

- Implementing Data Quality validation

• At least (2) years of hands-on experience in

- Providing technical support (80%) & enhancements (20%) for existing applications in Azure

Purva Sholapurkar

EA Licence Number: 23C2060

Registration ID is R22109878

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

Core Responsibilities:

• Data Analysis, Profiling
• Preparing functional specification document
• Preparing Data Mapping specs which involves writing transformation rules to move data from one layer to another
• Data Management related tasks like Reference data standardization

Detailed responsibilities and tasks:

• Define — Define the data to be moved, including the tables, the fields within each table, and the format of the field after it is moved..
• Map the Data — Match source fields to destination fields.
• Transformation — If a field requires transformation, the transformation formula or rule is documented and coded in programs.

Desired Experience level : 5 to 15 yrs.

• Technical skills (Mandatory) : SQL(Teradata/Oracle/Postgres), Relational Database management (ER) and Dimensional modelling,
• Technical skills (Good to have) : Unix/Linux, Change management tools, JIRA, Devops(CI/CD)
• Functional/Domain skills (good to have at least 2): Retail and Corporate Banking, Cards, Wealth management, Treasury, Finance,Credit and Market Risk, MAS/HKMAS regulatory reporting

Registration No. / Unique Entity Number: 199801439D

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

Responsibilities

Pharmacy Operational duties

• Processing medication orders
• Picking, packing and labeling of medicines in accordance to Standard Operating Procedures ( SOP)
• Perform the following medication reconciliation steps: counting, sorting and typing of prescriptions
• Perform billing functions

Provision of quality customer service

• Provide professional and courteous service to all patients/customers

Inventory Management

• Review and update inventory level base on consumption on a regular basis
• Oversee storage conditions, expiry checks, audits and reporting of defects of drug products within the institutions
• Plan and ensure that cycle counts and stock take are conducted accurately and accordingly to the StandardbbOperating Procedures
• Sterile and Non-sterile Manufacturing (Laboratory & Cancer Centre Pharmacy)

Requirements

• Min Dip in Pharmaceutical Science (Clinical Track)
• Those with pharmacy tech exp will be an advantage
• Those without exp are welcome to apply

Office hours / Shifts available!

Interested candidates, please forward your resume to [email protected]

Consultant: Huang Jingsheng Kevyn (R1333338)

Recruit Express Ptd Ltd (99C4599)

About OSL

OSL is the first HK-based and SFC-licensed Virtual Asset Trading Platform. Offering over-the-counter (voice and electronic) digital assets execution, an agency exchange platform, customer segregated assets and the world's best insured custody solution of digital assets.

As the first SFC-licensed, HK-listed (863 HK) and ‘Big-four’-audited digital asset and fintech company, OSL is one of the largest digital asset platforms, providing principal brokerage, custody, exchange and SaaS services to institutional clients and professional investors.

Overview

We are looking for a skilled Data Analyst to help establish and standardize data processes across the company and its business lines. This is a unique opportunity to build our data foundation from scratch (0–1) and drive meaningful business impact through data insights.

As part of our early-stage team, you’ll thrive in a fast-paced environment where your ideas and expertise will be highly valued. You’ll work on building critical data infrastructure, shaping growth strategies, and supporting market expansion efforts in new countries. If you’re passionate about solving complex problems, leveraging data to influence decisions, and being part of a team that drives real business growth, this is the role for you.

Why Join Us Now?

• Early-Stage Impact: Be part of the foundational team building the company’s data infrastructure and warehouse.
• Dynamic Growth Opportunities: Work alongside our expanding business to explore and develop strategies in new markets and countries.
• Influence and Ownership: Use data insights to shape growth strategies, drive decision-making, and have a direct impact on business outcomes.

Key Responsibilities:

Data Standardization and Framework Development:

• Establish and enforce company-wide and business-line-specific data standards.
• Collaborate with cross-functional teams to align data practices with business needs.

Data Infrastructure and Pipeline Management:

• Design and build scalable ETL pipelines and data warehouses using tools like MySQL, Google Cloud, and AWS.
• Maintain data integrity and ensure seamless data accessibility for analytics.

Data Analysis and Insights Generation:

• Conduct product, growth, and operational analytics to uncover trends, inform strategy, and optimize performance.
• Partner with teams to translate business questions into analytical solutions.

Data Visualization and Reporting:

• Create dashboards and reports using data visualization tools to communicate insights effectively.
• Ensure stakeholders have actionable insights to drive business decisions.

Market Expansion Analytics:

• Support business expansion into new markets by analyzing data to inform strategy and identify opportunities.

Ideal Candidate Profile:

Experience:

• 3–5 years in a data analyst role within an internet or tech company.
• Proven experience in product analytics, growth analytics, operations analytics, or data product development.

Technical Skills:

• Proficient in data warehouse architecture and ETL pipelines.
• Hands-on experience with tools like MySQL, Google Cloud, AWS, and data visualization tools (e.g., Tableau, Power BI, or Looker).

Soft Skills:

• Strong problem-solving and critical thinking abilities.
• Excellent communication skills to explain complex data insights to diverse audiences.

Language:

• Fluent in English and Mandarin to collaborate effectively across teams and markets.

• Bachelor's degree in Data Science, Statistics, Finance, or a related field.
• Proven experience as a Data Analyst or similar role in the financial services industry.
• Proficient in data visualization tools such as Tableau or Power BI.
• Strong knowledge of SQL and experience with data querying and manipulation.
• Experience with statistical analysis software such as R or Python.
• Ability to communicate complex data insights effectively to non-technical stakeholders.
• Strong attention to detail and problem-solving skills with a commitment to accuracy.

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

#WE ARE EXPANDING#

Our company is having a end of year recruitment drive! We are looking for people who are fresh graduates / career switch / ORD!

We are a marketing company that helps different industries to promote their level to be at a different playing field.

Job scope:
⁃ Provide the brand awareness to potential customers
⁃ Increasing market share for our partner clients

Perks:
⁃ Subsidised overseas business trip
⁃ 1-1 mentorship provided throughout
⁃ No minimum years of experience required

Requirements:
⁃ Enthusiastic and positive
⁃ Keen to learn
⁃ Fun and out-going

If you are interested to find out more, feel free to apply to find out more!