McKesson · 16 hours ago
Sr Associate Data Scientist (Databricks Platform)
USA, KS, Overland Park
Full-time
Hybrid
Entry Level
$84K/yr - $141K/yr
2+ years expMcKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. They are seeking a Sr Associate Data Scientist to contribute to the development, deployment, and optimization of machine-learning models and analytical solutions within the RxSS Data & AI ecosystem.
BiopharmaBiotechnologyHealth CareInformation TechnologyPharmaceutical
No H1B
Responsibilities
Build, train, evaluate, and optimize machine‑learning models using Spark MLlib, Python, and cloud‑based toolchains
Perform exploratory data analysis (EDA), statistical profiling, and feature engineering on large-scale datasets hosted in Databricks
Implement and manage MLflow experiment tracking, model registry, versioning, and reproducibility workflows
Contribute to model monitoring, performance tuning, drift detection, and continuous improvement
Develop notebooks, jobs, and workflows within Databricks for data preparation, model training, and batch/streaming inference
Utilize Unity Catalog for secure, governed data access, lineage, and metadata management
Work with Delta Lake (bronze/silver/gold layers) for scalable feature pipelines supporting both training and production
Collaborate with Engineering to migrate workloads to Databricks and support transformations, optimizations, and cost‑efficient compute usage
Build reusable, production‑grade feature pipelines in PySpark and SQL
Implement data validation, quality checks, and transformation logic consistent with enterprise guidelines
Participate in design sessions for ingestion, medallion architecture workflows, and schema evolution
Partner with Data Engineering, Analytics, Product, and SMEs to translate business problems into data‑driven solutions
Document model assumptions, data transformations, evaluation metrics, and deployment patterns
Qualification
Required
Bachelor's degree in Data Science, Computer Science, Analytics, Math, Statistics, Engineering, or related field, or related experience
Typically requires 2+ years of experience in applied ML, data science, or advanced analytics
Hands-on experience with Python, PySpark, SQL, and Git-based workflows
Practical exposure to cloud-based ML environments (preferably Databricks)
Understanding of ML techniques such as regression, classification, clustering, time-series forecasting, and embeddings
Ability to work with large, complex datasets
Preferred
Experience with Databricks MLflow, model serving, and workflow orchestration
Familiarity with Delta Lake storage formats, feature engineering at scale, and medallion architecture patterns
Experience deploying models into production environments with monitoring and observability
Benefits
Annual bonus
Long-term incentive opportunities
Company
McKesson
McKesson distributes medical supplies, information technology, and care management products and services.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
unknown1994-11-18IPO
Leadership Team
Brian Tyler
CEO
Jim McAuliffe
CFO
Recent News
2026-01-23
2026-01-12
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