Data Scientist - Product Analytics

at  TECHNOLOGY SERVICES GROUP PTE LTD

JOB OVERVIEW:

We are seeking a talented Data Scientist to join us in building one of the pioneering LLM-based financial products. This role is crucial for leveraging vast amounts of user and application data to drive product strategy and improve user engagement. As a part of the team, you will be instrumental in developing key metrics, constructing insightful dashboards, and conducting rigorous AB testing to guide the evolution of the product.

QUALIFICATION & SKILLS:

• Bachelor’s degree or higher in Computer Science, Data Science, Statistics, or a related field.
• 3+ years of experience in data analysis / scientist role, ideally with a focus on user behaviour and product analytics in a tech or financial services environment.
• Strong knowledge of Python for data analysis and model development. Experience with NLP/LLM tools and frameworks is highly desirable.
• Proficient in SQL and experience with various database systems, including knowledge graphs, for data querying and management.
• Strong understanding of statistical analysis methods and experience in designing, executing, and interpreting AB tests.
• Experience in creating dynamic dashboards using platforms like Tableau, Power BI, Grafana, or similar tools to visualize and report data insights.

• Analytics and Insights : Perform deep analysis of user and app data to derive actionable insights that support strategic decisions and product enhancements.
• Metrics Development: Identify key performance indicators for the product; develop and maintain scalable metrics to monitor and report on these indicators.
• Dashboard Development : Design and build comprehensive dashboards that provide real-time insights into product performance, user engagement, and other critical metrics.
• AB Testing: Plan, execute, and interpret AB tests to refine product features based on statistical analysis and user feedback.
• Collaborative Product Development: Work closely with product managers, engineers, and other stakeholders to integrate analytics and insights into product development cycles.