Top Tech Jobs & Startup Jobs in Singapore

Conceptualize and develop machine learning models to model consumer preferences, behavior, and interactions for recommendation algorithms. Drive product improvements and algorithm development in a fast-paced environment. Deep dive into big data to derive insights and implement machine learning algorithms efficiently. Test impact of algorithms with A/B tests and communicate results effectively.

Seeking a Senior Data Scientist (Analytics) specializing in Search and Personalisation to help product teams make data-driven decisions, conduct controlled experiments, and solve complex problems. Responsibilities include deep diving into data, identifying trends, proposing experimentation strategies, collaborating with cross-functional teams, analyzing experiment results, and developing data pipelines and models.

Senior Data Scientist role at Grab focusing on providing critical insights and driving GrabFood/GrabMart Consumer Experience forward through data-driven approaches and experimentation. Collaborate with various teams to drive product and business innovation and influence strategic direction of the product. Responsible for product analytics, strategic and business analytics, and providing data-driven insights and recommendations for continuous improvements.

End-to-end ownership and implementation of projects, stakeholder management, thought partnership, and supporting post merger integrations and due diligence phases for potential mergers and acquisitions. Opportunity to build strategy and create high impact change.

The Assistant Manager, Credit Risk role at Grab in Singapore involves managing and driving credit risk strategy for lending consumer products, optimizing underwriting and customer portfolio management risk policies, and providing credit risk evaluation and advisory. The role requires expertise in retail banking credit life cycle, strong analytical and interpersonal skills, and hands-on experience with Python and SQL.

Seeking a Lead Data Scientist to build advanced machine learning models for personalization, recommendation, prediction, and optimization to enhance the Grab SuperApp experience. Responsibilities include analyzing large volumes of data, designing and deploying machine learning models, performing model evaluation, and communicating results to stakeholders.

Senior Data Scientist role within Grab's Mobility Data Science team. Responsibilities include extracting insights from large datasets, developing machine learning models, and collaborating with cross-functional teams to implement data solutions. Must-have qualifications include a Master's degree and at least 3 years of experience in relevant fields, proficiency in Python and Scala, and strong communication skills.