Data Scientist Jobs in Singapore 2024

What are the job responsibilities of a data scientist?
A Data Scientist is a proficient specialist who applies mathematical, problem-solving, and coding skills to manage big data, extracting valuable insights. They design tailor-made solutions from this data, aiding organizations in achieving their unique objectives and goals.

Data Scientist Jobs in Singapore 2024

Listing Date: 26-03-2024

Data Scientist Jobs in Singapore 2024

Data Scientist / Software Engineer – job post
THE MITRE CORPORATION
3.9 out of 5
Singapore
$4,800 – $8,500 a month – Permanent

Job details

Location
Singapore

Full Job Description

MITRE ASIA PACIFIC SINGAPORE (MAPS)

Under the initial sponsorship of Civil Aviation Authority of Singapore (CAAS), The MITRE Corporation, a U.S.-based, globally renowned research and development company, established its premier air traffic management research center in Singapore to support the growth in the Asia Pacific Region. This research center, MITRE Asia Pacific Singapore (MAPS), is in need of an Associate/Intermediate Data Scientist / Software Engineer to be part of a dynamic team of professionals working to improve air traffic operations in Singapore and the Asia Pacific region. The ideal candidate possesses excellent verbal and written technical communication skills, strong analytical abilities, the desire to acquire new skills, and the trait of being self-driven.

Key responsibilities include:

  • Develop, maintain, and monitor data analytics that produce high quality data
  • Analyze and visualize data products to derive insights and assess data quality
  • Continuously improve the codebase and our development/deployment processes
  • Consult with analysts and data consumers to ensure their needs are met
  • Collaborate with peers during sprint planning, technical discussions, and code reviews
  • Write clean and testable code that works consistently, both locally and on the compute cluster

Minimum Requirements:

  • Good honors degree in in Computer Science, Mathematics, or other physical science/engineering fields), or equivalent practical experience
  • 0-5 years relevant work experience

Preferred Qualifications:

  • Experience with software development using Java, Python, and/or another high-level programming language
  • Experience with data science techniques, data analysis, modeling, and visualization using Python, R, and/or Clojure
  • Experience with Git version control software
  • Familiarity with big data, distributed systems, and/or cloud platforms (Hadoop, AWS, Spark, Kafka, etc.)
  • Familiarity with Agile and DevOps principles and practices
  • Comfortable learning new languages and ideas
  • Creative problem solvers and risk takers
  • Ability to collaborate effectively with teammates, technical partners, and stakeholders

Fresh University graduates are encouraged to apply. Preference will be given to candidates who have knowledge of and/or experience in the field of air traffic operations. There is currently one opening. Interested candidates should inquire within The MITRE Corporation by emailing JOBS@mitreasiapacific.sg by 25 April 2024.

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Senior Data Analytics Executive – job post
ELITEZ & ASSOCIATES PTE. LTD.
Singapore
$3,500 – $4,500 a month – Permanent, Full-time

Job details

Location
Singapore

Full Job Description

Job Summary:

Industry: Healthcare
Job Location: Kent Ridge

Job Responsibilities:

  • Assemble large and complex data sets from a wide variety of data sources
  • Responsible for data preparation, data mining, to create/identify opportunities through analytics
  • Conduct exploratory data analysis and provide rapid iterations of analysis to refine problem and identify potential solutions
  • Interpret and communicate analytical findings and insights to technical and non-technical stakeholders in order to assist in making data-driven decisions
  • Contribute to the development of data science infrastructure, tools, and frameworks for efficient data analysis, experimentation, and model deployment
  • Abide and adhere to data governance policies in servicing data extraction or report requests, metrics and dashboards

Job Requirements:

  • Bachelor’s Degree in a quantitative discipline (e.g., statistics, biomedical informatics, computer science, applied mathematics, or similar)
  • Preferably with 3 years of relevant experience
  • Working knowledge of data analytics tools e.g. SQL, Python, MS
  • Excel (advanced), R, data visualization tools (e.g. Tableau)
  • Strong analytical skills, with experience solving problems using data and providing practical business insights
  • Self-starter with a strong sense of urgency and a positive “can do” attitude
  • Comfortable with dealing with sets of data points from different sources
  • Qualities of matured thinking, dependable and requires minimum supervision
  • Able to work both independently and as a team
  • Excellent communication and interpersonal skills to effectively collaborate with diverse stakeholders

By submitting any application or resume to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

We regret that only shortlisted candidates will be notified.

Registration No: R23113834

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Data Scientist / Data Analyst – job post
CHARLES & KEITH (SINGAPORE) PTE. LTD.
3.8 out of 5
Singapore
Permanent, Full-time

Job details

Location
Singapore

Full job description

Job Overview:

We are seeking a highly skilled and motivated Data Analyst/Data Scientist to join our dynamic team. The ideal candidate will be passionate about turning data into actionable insights and have a proven track record of using data to drive growth and efficiency.

Key Responsibilities:

  • Design, develop, and maintain Power BI dashboards and reports that consolidate data from various sources
  • Gather business requirements from end-users and translate them into technical specifications to build robust, scalable, and high-performance BI solutions
  • Perform statistical analysis and use machine learning techniques to build predictive models.
  • Communicate findings and insights to stakeholders using visualization tools and presentations

Requirements:

  • Bachelor’s/Master’s degree in Computer Science, Mathematics, Economics, Statistics, or a related field
  • Proven experience as a Power BI Developer or similar role
  • Strong understanding of BI technologies and experience in data analysis and reporting
  • Strong knowledge of and experience with databases (SQL, etc.), programming (e.g., Python, R), and ETL frameworks
  • Experience with common data science toolkits, such as Pandas, NumPy, Matplotlib, Scikit-learn; experience with TensorFlow or PyTorch is a plus
  • Excellent written and verbal communication skills

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Data Scientist Jobs in Singapore 2024

Data Analyst/Data Scientist – job post
BCW DLT TECHNOLOGIES PTE. LTD.
Singapore
$5,000 – $8,000 a month – Permanent, Full-time, Contract

Location
Singapore

Full job description

Job role:

As a data analyst, you will be responsible for compiling actionable insights from data and assisting program, sales and marketing managers build data-driven processes. Your role will involve driving initiatives to optimize for operational excellence and revenue.

Responsibilities:

  • Ensure that data flows smoothly from source to destination so that it can be processed
  • Utilize strong database skills to work with large, complex data sets to extract insights
  • Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes
  • Identify new internal and external data sources to support analytics initiatives and work with appropriate partners to absorb the data into new or existing data infrastructure
  • Build tools for automating repetitive asks so that bandwidth can be freed for analytics
  • Collaborate with program managers and business analysts to help them come up with actionable, high-impact insights across product lines and functions
  • Work closely with top management to prioritize information and analytic needs

Requirements:

  • Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science with
  • Modeling/Data Science), preferably with work experience of over 5 years.
  • Ability to program in any high level language is required. Familiarity with R and statistical packages are preferred.
  • Proven problem solving and debugging skills.
  • Familiar with database technologies and tools (SQL/R/SAS/JMP etc.), data warehousing, transformation and processing. Work experience with real data for customer insights, business and market analysis will be advantageous.
  • Experience with text analytics, data mining and social media analytics.
  • Statistical knowledge in standard techniques: Logistic Regression,
  • Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, etc.

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AMA Data Scientist – job post
NodeFlair
Singapore
Permanent

Location
Singapore

Full job description

Job Summary

Job Type
Permanent

Seniority

Years of Experience
Information not provided

Tech Stacks
TensorFlow AWS C++ Analytics Keras Databricks UNIX Azure Java Spark Linux SQL Scala Python

Job Description

As a Data Scientist in P&G, you build algorithms targeted at transforming strategic decisions and operations by bringing advanced analytics and cognitive science into our core work processes.

Your team

This position is part of the P&G Data Science Team. This role is located in Singapore and you will be part of regional Data Science team for Asia-Pacific Middle East (AMA) headquarters. You will report to IT Senior Manager and be accountable to a multi-functional team.

What Success Looks Like

You have a passion for using advanced machine learning methods to solve challenging Research and Development problems. You will do comprehensive model reviews to ensure they are sound in helping to grow our billion-dollar brands and broaden our consumer basis.

You should be able to navigate across a diverse array of modelling applications, and provide advice and consultation to senior business leaders.

Responsibilities Of The Role

  • Directly contributes to the design and development of scaled Data Science algorithms.
  • Applies technical knowledge to massive datasets with exploratory data analysis, feature engineering, and model building to deliver accurate and impactful algorithms.
  • Quantifies improvement in business areas resulting from u algorithms. Works with Data and Software Engineering teams to productionize algorithms

Job Qualifications

  • At Least Bachelor Degree in Analytics, Data Science or related field
    Fresh Graduates are welcome to apply
  • Exposure in model validation, back-testing, and other model risk management activities.
  • Proven Foundation across full spectrum of ML Techniques (Traditional Methods, Deep Learning, Bayesian, etc), Statistics,
  • Data Modeling, and Optimization.
  • Strong written and verbal communication skills to influence others to act
  • Ability to balance multiple priorities
  • Good social skills, self-motivated, dynamic and can-do attitude
  • Strong enthusiasm and curiosity about the intersection of business and technology

Preferred Experience with Analytical Tools/Applications including:

  • Unix/Linux
  • Big Data Ecosystem: Databricks, Spark, SQL
  • Deep Learning frameworks: Keras, Tensorflow
  • Scientific Computing: Python, C++, Java, Scala,
  • High-Performance Parallel and Distributing Computing
  • GCP, Azure, or AWS

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Data Science Intern – job post
Agilent Technologies Inc.
4.1 out of 5
Singapore
Full-time

Job type

Shift and schedule

Location
Singapore

Job Description

  • This role will be working under Global Procurement organization, involving internal Procurement data and external supply-market data.
  • Work with data scientists and stakeholders to develop scalable end-to-end data intelligence solutions
  • Utilize techniques such as data mining/automation, data visualization, data analytics, predictive modeling, natural language processing, etc to develop AI building blocks and AI POCs/scalable use-cases.
  • Generate actionable insights through data analytics, and forward-looking insights through predictive analytics

Qualifications

  • Studying Bachelor’s or Master’s degree in Computer Science, Data Science, Business Analytics, Information Systems, Statistics,
  • Industrial Engineering with good experience in programming
  • Excellent analytical thinking, programming (using Python is desirable), and problem-solving skills
  • Knowledge of data analytics, machine learning, data warehousing, database management (preferably using SQL), data visualization (Power BI, Qlik), web applications and application programming interfaces (APIs)
  • Experience in developer platform such as AWS, Azure
  • Fundamental knowledge of statistics and probability
  • Good communication skills

Agilent Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.

Travel Required
No

Schedule
Schedule:Full time

Shift
Day

Duration
No End Date

Job Function
General

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Data Scientist Jobs in Singapore 2024

Lead Data Scientist – Construction & Built Environment – job post
Meinhardt (Singapore) Pte Ltd
3.4 out of 5
Singapore

Location
Singapore

Benefits
Pulled from the full job description

Health insurance

Full job description

Meinhardt Digital Technology Solutions (DTS) is seeking an accomplished and visionary Lead Data Scientist to lead our data science initiatives and product development in the building and construction industry. The ideal candidate will be a strategic thinker with extensive experience in leveraging data analytics, machine learning, and AI to drive innovation and optimize operations in construction projects. If you have a proven track record of delivering data-driven solutions and possess strong leadership skills, we invite you to join our dynamic team and shape the future of data science in the construction sector.

Responsibilities:

Strategic Leadership:

  • Define and execute the data science strategy to address business challenges and opportunities in the building and construction industry as part of the Meinhardt DTS team, working closely with the Meinhardt smart cities and sustainability teams as well.
  • Lead and inspire a team of data scientists, analysts, and engineers to achieve strategic objectives.

Data Strategy and Governance:
Develop and implement data governance policies and procedures to ensure data quality, integrity, and security.

Establish data architecture and infrastructure to support analytics initiatives and ensure scalability.

Provide advice on data governance and management for the rest of the Meinhardt Group, as the need arises.

Advanced Analytics and Modelling:
Drive the development of advanced analytics models and algorithms to optimise construction processes, resource allocation, and project management.

Identify opportunities for predictive analytics and prescriptive recommendations to enhance decision-making, especially for building and construction domains such as scheduling, asset/facilities management, resource management, and safety.

Innovation and Research:
Stay abreast of emerging technologies, trends, and best practices in data science, AI, and machine learning.

Lead DTS’s development of Artificial Intelligence and Machine Learning (AI/ML) applications: including but not limited to Generative AI, Large Language Models (LLMs), and Autonomous Agents or Chatbots.

Foster a culture of innovation and experimentation to explore novel approaches and solutions, including setting up research priorities and workloads for data science team and structuring training/development.

Cross-functional Collaboration:
Collaborate closely with stakeholders across departments, including software engineering, project management, and business development, to identify data-driven opportunities and challenges.

Partner with IT and engineering teams to integrate data science solutions into existing systems and workflows.

Data Visualisation and Communication:
Communicate complex data science concepts and insights to non-technical stakeholders through clear and compelling visualisations and presentations.

Translate business requirements into actionable data science projects and initiatives.

Performance Monitoring and Optimization:
Establish key performance indicators (KPIs) and metrics to measure the impact of data science initiatives on business outcomes.

Continuously monitor and optimize models and algorithms to ensure accuracy, relevance, and effectiveness.

Qualifications:
Advanced degree (Ph.D. or Master’s) in Data Science, Computer Science, Statistics, or a related field.

Extensive experience (5+ years) in data science, machine learning, and AI, with a focus on applications in the building and construction industry.

Proven track record of leadership and strategic decision-making in a data-driven environment.

Strong programming skills in languages such as Python, R, or Scala.

Expertise in machine learning frameworks and libraries (e.g., TensorFlow, scikit-learn, PyTorch).

Proficiency in data visualisation tools and techniques (e.g., Tableau, Matplotlib, D3.js).

Excellent communication, collaboration, and stakeholder management skills.

Experience working with large-scale datasets and distributed computing frameworks (e.g., Hadoop, Spark) is a plus.

Preferred Qualifications:
Experience with construction/infrastructure industry data and processes.

Exposure to geospatial data analysis.

Knowledge of data engineering and data pre-processing techniques.

Familiarity with cloud platforms (e.g., AWS, Azure, or Google Cloud).

Understanding of statistical analysis and hypothesis testing.

Benefits:
Competitive salary and performance-based increments.

Health insurance and other benefits.

Opportunities for professional growth and career advancement.

Collaborative and innovative work environment.

Interested applicants, please send your CV to hrd@meinhardt.com.sg .

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INTERN DATA SCIENCE ENGINEER – SMART MFG & AI – job post
NodeFlair
Singapore
Contract

Location
Singapore

Job Summary

Job Type
Contract

Seniority
Intern

Years of Experience
Information not provided

Tech Stacks
ETL TensorFlow AngularJS Teradata R SSIS pySpark HBase Hive Spark JavaScript SQL Hadoop Python

Job Description

As a Data Science Engineer at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed.

You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing tools. In this position, you will help develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be significant opportunities to perform exploratory and new solution development activities.

Responsibilities Include, But Are Not Limited To

  • Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets.
  • Experience in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning.
  • Exposure to the semiconductor industry is a plus but not a requirement.
  • Ability to extract data from different databases via SQL and other query languages and apply data cleansing, outlier identification, and missing data techniques.
  • Strong software development skills.
  • Strong verbal and written communication skills.

Experience with or desire to learn:

  • Machine learning and other advanced analytical methods
    Fluency in Python and/or RpySpark and/or SparkR and/or SparklyR
  • Hadoop (Hive, Spark, HBase)
  • Teradata and/or another SQL databases
  • Tensorflow, and/or other statistical software including scripting capability for automating analyses
  • SSIS, ETL
  • Javascript, AngularJS 2.0, Tableau
  • Experience working with time-series data, images, semi-supervised learning, and data with frequently changing distributions is a plus
  • Experience working with Manufacturing Execution Systems (MES) is a plus
  • Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are a plus, but this is not a research position
  • Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Working location:

1, North Coast Drive, Singapore 757432

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Senior Software Engineer/Data Scientist (Mechanical Engineering & AI) – job post
NodeFlair
Singapore
$7,700 – $11,350 a month – Permanent

Location
Singapore

Job Summary

Salary
S$7,700 – S$11,350 / Monthly EST

Job Type
Permanent

Seniority
Senior

Years of Experience
3-4 years

Tech Stacks
Strategy Python

Job Description

The Singapore Corporate R&D Center is chartered to work with the CTO’s and Advanced Development Groups of TE Business Units to identify technical areas of interest for R&D and develop forward looking technologies that will deliver broad value to the business. In order to improve the New Product Development process, TE is expanding our Artificial Intelligence capabilities as a part of our Digitalization strategy to improve efficiency, decrease cost, and decrease time to market.

Job Responsibilities:

  • Run multiple projects in developing data science solutions to support new product development in TE
  • Adopt cutting-edge data science techniques (using in-house coding tools or commercial software) to solve engineering problems (such as product design, manufacturing process development, material formulation, etc.)
  • Develop multiple algorithms powered by machine learning to work on experimental and simulation data sets
  • Work in a multi-disciplinary environment with specialists in data science, mechanical engineering, material science, mechanics, additive manufacturing and other fields
  • Collaborate with multiple business units to define deliverable, requirements, and functionalities.
  • Create awareness across TE of the AI modelling capabilities of the Singapore center
  • Work with local and global TE sites, and external customers and partners, to address urgent or strategic needs
  • Partner with Singapore research institutes to develop advanced AI techniques, and assist with validation and knowledge transfer of outsourced projects

Job Requirements:

  • Master degree in Mechanical Engineering (or related) with 3-4 years (or Bachelor degree with 4-6 years) plus relevant working/research experience
  • Keen interest in R&D involving coding and data
  • Deep understanding of data science and machine learning (having a second degree on data science is a plus)
  • Familiar with machine learning algorithms involving multiple data types
  • Strong programming skill in Python or similar languages
  • Broad knowledge of manufacturing processes, material and product design
  • Experiences with AI applications on product design
  • Experience in effective project management strategies and tactics

Preferred:

  • Familiarity with TE products (connectors, cables, sensors etc.) and manufacturing process, (molding, extrusion, plating, stamping, assembly)
  • Broad understanding of Multiphysics simulation (such as FEA finite element analysis, CFD computational fluid dynamics) and CAD
  • Familiarity with project management tools

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Senior Data Scientist (Search & Personalization) – job post
NodeFlair
Singapore
$7,696 – $11,914 a month – Permanent

Location
Singapore

Job Summary

Salary
S$7,696 – S$11,914 / Monthly EST

Job Type
Permanent

Seniority
Senior

Years of Experience
Information not provided

Tech Stacks
TensorFlow C++ Go PyTorch Spark Scala Python

Job Description

The SNP Data Science Search and Ranking team is a longstanding team responsible for Grab Food and Mart Search and Ranking experiences. We make an impact by developing the state-of-the-art Deep Learning models to create better user experiences. Our team is made up of enthusiastic Data Scientists with various backgrounds. If you are looking for an opportunity for Search and Ranking, you should join our team!

Get to know the Role

Develop creative and highly scalable machine learning algorithms to solve problems in Search, Natural Language Processing and/or Computer Vision domains that is critical to Grab’s business
Drive product improvements and roll-out of new features with state-of-the-art algorithms

The Day-to-Day Activities

  • Deep dive into the big datasets and prepare them for model building and training
  • Design and build efficient and scalable deep learning and machine learning algorithms
  • Evaluate the performance of the algorithms on image and/or text datasets
  • Deployment of solutions to production platforms
  • Contribute to team’s innovation and IP creation
  • Keep up with the latest literature in Search, Natural Language
  • Processing and/or Computer Vision
  • Collaborate with other data scientists, software engineers, and business operation teams

Qualifications

The Must-Haves

  • Ph.D. or Master graduate in Computer Science,
  • Electrical/Computer Engineering, Operations Research, or related technical disciplines
  • Solid background in deep learning for Search, Natural Language Processing and/or Computer Vision
  • Familiar with mainstream deep learning programming frameworks (e.g. TensorFlow, PyTorch)
  • Excellent software development capabilities, preferably in
  • Python/Scala/C++ with good programming style and work habits; knowledge of GoLang would be an advantage
  • Self-motivated and independent learner who is willing to share knowledge with the team
  • Detail-oriented and effective time management, who thrives in a dynamic and fast-paced working environment

The Nice-to-Haves

  • Experience in working with food, delivery, and e-commerce data and use cases
  • Knowledge of model compression techniques
  • Experience with one or more big data processing frameworks such as Spark
  • Experience in parallel programming and multithreading
  • Knowledge in code optimization techniques

Additional Information

Our Commitment

We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.

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