We’re hiring a Senior Data Scientist (Level II) to drive high-impact AI/ML initiatives in a regulated environment. This role focuses on predictive modeling, forecasting, and scalable ML solutions that directly influence business outcomes.
You’ll work hands-on across the full lifecycle—from model development to production deployment—while collaborating with cross-functional teams.
Key Responsibilities
- Design, build, and optimize machine learning models (classification, forecasting, deep learning)
- Develop scalable feature engineering pipelines using large, complex datasets (e.g., claims data)
- Convert models into production-ready pipelines with strong documentation and code quality
- Deploy, monitor, and improve model performance in real-world environments
- Translate business problems into data-driven solutions
- Communicate insights clearly to both technical and non-technical stakeholders
Required Qualifications
- Master’s or PhD in Data Science, Computer Science, Statistics, or related field
- 5+ years of industry data science experience (academic work not counted)
- Strong experience in predictive modeling & forecasting
- Proven track record of taking models from ideation to production
- Advanced proficiency in Python, SQL, and AWS
- Deep expertise in Machine Learning / Deep Learning techniques
- Experience working with large, messy datasets
Preferred
- Experience in healthcare, pharma, or regulated industries
- Exposure to claims data or similar complex datasets
- Knowledge of data privacy, governance, and compliance
- Experience with MLOps (deployment, automation, monitoring)
Important
- This role focuses on classical ML & predictive modeling
- Candidates with only GenAI / LLM experience will not be a fit
- Resume must clearly show business impact from models (forecasting, targeting, etc.)