What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 5+ years of experience applying data science and machine learning to real-world problems
- Strong foundation in statistics experimental design and machine learning methods
- Proficiency in Python and/or R and SQL with common data science libraries
- Hands-on experience with problem framing EDA feature engineering model development and evaluation
- Proven ability to ramp quickly and deliver insight in fast-moving ambiguous environments
- Excellent communication and data storytelling skills
- Authorized to work in the United States
- Experience with cloud data/ML environments and notebooks
Nice to have
- Intellectually curious
- Pragmatic
- Client-facing
- Fast learner
- Rigor-minded
- Collaborative
Day to day
- Frame business problems as analytical and ML problems with clear hypotheses and success metrics
- Perform exploratory data analysis to assess data quality distributions relationships and feasibility
- Design run and interpret experiments and validate models from classical ML to modern AI and GenAI
- Communicate findings clearly with visualizations narratives and recommendations for technical and business audiences