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Senior Data Scientist
Not specifiedFull-timeData ScienceEnterprise Software
Research, develop, and productize data science capabilities that improve predictive performance on enterprise datasets. Work with research, engineering, and applied AI teams to validate approaches and ship production-ready capabilities.
Responsibilities
- Research and develop methods to improve predictive performance across enterprise datasets and prediction tasks
- Implement robust, reusable, production-quality Python components
- Analyze real-world structured data and develop strategies to handle its challenges
- Design experiments and benchmarks to assess new approaches and guide priorities
- Work on classification, regression, ranking, forecasting, and other structured-data problems
- Collaborate with research and engineering teams to understand model behavior and inform product work
- Validate approaches with applied AI engineers on customer datasets and translate findings into product capabilities
- Contribute to technical documentation and internal best practices
Requirements
- At least 5 years of experience in data science or machine learning
- Strong Python skills, including pandas, NumPy, and scikit-learn
- Hands-on experience with gradient-boosting models such as XGBoost, LightGBM, or CatBoost
- Understanding of tabular data challenges, including class imbalance, high cardinality, distribution shift, and missing values
- Ability to design benchmarks and draw rigorous conclusions from noisy results
- Ability to work independently and take work from initial idea through delivery
Nice to have
- Experience with tabular foundation models such as TabPFN or CARTE
- Strong results in data science competitions, especially tabular competitions
- Experience in finance, supply chain, healthcare, retail, or industrial domains
- Experience designing or contributing to internal machine-learning libraries or shared tooling
- Familiarity with DuckDB, Polars, or similar analytics engines
- Ability to interpret machine-learning research and apply findings
Benefits
- Competitive compensation with salary and equity
- Health coverage for employees and dependents
- Paid parental leave, including for adoptive and surrogate journeys
- Relocation support for moves to an office location