Senior Data Scientist
New
United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 3–5+ years
- Required Skills
- PythonSQLCloud ComputingMachine LearningLLMMLOpsGenerative AI
Requirements
- 3–5+ years of professional experience in data science, machine learning, or a related quantitative role.
- Strong proficiency in Python (pandas, NumPy, scikit-learn) and SQL.
- Hands-on experience building, validating, and deploying machine learning models (classification, regression, clustering, time-series).
- Experience with MLOps best practices (model versioning, CI/CD, experiment tracking, continuous monitoring).
- Practical experience building AI-powered solutions using LLM APIs, prompt engineering, and RAG pipelines.
- Experience with cloud-based data and ML platforms (AWS, Azure, GCP, Databricks, or Snowflake).
- Strong communication skills with the ability to present technical findings to non-technical audiences.
Responsibilities
- Design, build, validate, and deploy machine learning models across the full data science lifecycle.
- Develop advanced analytics solutions for clinical prediction, population health, and operational optimization.
- Build AI-powered applications leveraging LLM APIs, prompt engineering, and RAG pipelines.
- Work with diverse healthcare data sources including EHRs, claims, and clinical registries.
- Translate complex analytical findings into meaningful, actionable insights.
- Manage documentation of best practices and scalable frameworks.
- Mentor and guide client counterparts to build the skills needed to sustain project deliverables.
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