Data Scientist

Main mission

Models data to predict, explain, and recommend decisions.

5 key responsibilities

• Frame business problems as modelable questions.
• Explore data and build relevant variables.
• Develop and validate predictive and explanatory models.
• Present results in clear decision-making recommendations.
• Collaborate with engineering for production deployment.

Key skills

Python/R, statistics, ML, SQL, result communication.

What's expected

Models that change real decisions: value is measured downstream, not in the notebook.

Career paths

ML Engineer, Lead Data Scientist, Data Product Manager.