Data Scientist
Core
Senior Data Scientist framing complex business problems as modeling tasks, executing rigorous research cycles, and delivering reproducible ML solutions integrated by engineering teams.
Role type
Senior IC data scientist (statistical modeling & ML)
Builds
Production ML models and validated solutions for business problems
Domain
Business analytics, statistical modeling, machine learning
Deliverable
production ML models
Required skills
Python, Scikit-Learn, XGBoost, LightGBM, Pandas, Polars, Statsmodels, SciPy, TensorFlow, PyTorch, SQL, PySpark, GCS, Azure Blob Storage, Git, MLflow, experimental design, hypothesis testing, causality analysis, model validation, bias analysis
Preferred skills
Deep learning expertise, cloud environment handling, experiment tracking, model documentation, generative AI evaluation
Technologies
Python, Scikit-Learn, XGBoost, LightGBM, Pandas, Polars, Statsmodels, SciPy, TensorFlow, PyTorch, SQL, PySpark, GCS, Azure Blob Storage, Git, MLflow
Responsibilities
Frame complex business problems as modeling problems; execute rigorous research cycles; deliver reproducible solutions; collaborate with ML Engineering teams; produce modular, production-ready code; validate models using business metrics and bias analysis; document models and limitations; evaluate suitability of agent systems or LLMs for specific problems.
Seniority
Senior, hands-on IC