Senior Data Scientist
Skills
Computer ScienceData ServicesDriftECSEnhanced Data Rates For GSM EvolutionEvent DrivenGlue
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Master’s or Ph.D. in a quantitative field
- 5+ years of professional experience in data science machine learning and NLP with production delivery experience
- Advanced proficiency in Python and SQL
- Hands on experience with ELT and ETL workflows using dbt Airflow and AWS data services
- Strong software engineering fundamentals including tested modular Python Git workflows containerization and CI/CD
- Experience productionizing and monitoring models on AWS with tools such as SageMaker and MLflow
- Experience building and evaluating LLM powered applications including prompt design retrieval and RAG pipelines
- Ability to scope ambiguous problems and deliver end to end with minimal supervision
- Demonstrated ability to lead projects and coach mentor other data scientists
- Excellent problem solving and communication skills
Nice to have
- Healthcare experience
- Insurance industry experience
- Cloud deployment experience
- Kubernetes familiarity
- Clinical data literacy
Day to day
- Lead AI, ML, and NLP initiatives end to end from problem framing through production deployment and long term maintenance
- Build and evaluate LLM powered solutions that automate complex healthcare workflows while balancing accuracy latency and inference cost
- Partner with clinicians pharmacists engineers and executives to define ground truth validate model behavior and communicate technical findings clearly
