Data Scientist - User Analytics

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.

Key Responsibilities:

. User Behaviour Analytics and Insights: Perform deep analysis of user behaviours, user engagement with the product, user profiling and retention metrics, in order to derive actionable insights and support strategic decisions.

. Product Analytics and Metrics Development:Identify and measure key performance indicators for the product develop and maintain scalable metrics to monitor and report on these indicators.

. Experiments and AB Testing: Plan, execute, and interpret AB tests to refine product features based on statistical analysis and user feedback, collaborate with product managers to provide data-driven recommendations that inform feature launches and enhancements.

. Dashboard Development: Design and build comprehensive dashboards that provide real-time insights into product performance, user engagement, and other critical metrics.

. Collaborative Product Development:Work closely with product managers, engineers, and other stakeholders to integrate analytics and insights into product development cycles.

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.

. The salary offered will commensurate to match the candidate's specific experience and capabilities, with consideration given to both their proven track record and the demands of the role .