Contribute to the optimization of core technologies that power the company’s data platform.
Collaborate with engineering and product teams to design and implement data-driven algorithms that improve system performance.
Work with large-scale datasets and support scientific experiments to evaluate and validate algorithm performance.
Own defined components of the data science workflow, including exploratory analysis, model development, validation, and deployment with guidance.
Apply machine learning techniques, visualizations, and statistical analysis to extract insights from both curated and newly created datasets.
Participate in researching, designing, simulating, and prototyping algorithmic product features aligned with business requirements.

Master’s or Ph.D. in a quantitative field (Computer Science, Physics, Mathematics, Statistics, or related discipline)
3–5 years of professional experience in data science, statistics, machine learning, optimization, or predictive modeling
Strong coding skills with experience developing maintainable, production-quality code
Working knowledge of programming concepts and deployment of data science solutions
Experience with large-scale or big data modeling frameworks (e.g., Spark)
Ability to communicate clearly with engineers and product managers.

Data Scientist

Key skills