Data Scientist

The role involves shaping the future of in-product discovery and engagement. This position will define the experimentation roadmap and employ advanced techniques to drive platform adoption. The individual will collaborate with various teams to deliver data-driven solutions ir work will directly influence strategy and help users find more value in the platform.

The role requires 4+ years of advanced SQL skills for data extraction, segmentation, and aggregation.

Experience with modern analytical tools and programming languages such as Python is necessary. Proficiency in data query and processing tools/systems, including relational, No

SQL, and stream processing, is expected. Familiarity with distributed computing systems like Spark and Hive, along with software engineering fundamentals such as version control systems (Git, Github) and writing production-ready code, is required. A Bachelor's Degree in Statistics, Economics, Mathematics, Data Analytics, Finance, Advanced Analytics, or a related field is necessary, with a Master's Degree being preferred. Experience in developing data models, schema design, and working knowledge of cloud computing/services, particularly AWS, is also needed.

The position requires experience in building multidimensional schemas for consolidating data from multiple sources and good working experience with data analytics and visualization tools like Tableau and Qlik Sense. Knowledge of computer science fundamentals, including data structures, algorithms, and performance complexity, along with familiarity with the Data Science workflow and lifecycle, is also a requirement.