Sr Associate Data Scientist (Databricks Platform)

McKesson is an impact-driven Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights products and services that make quality care more accessible and affordable. Here we focus on the health happiness and well-being of you and those we serve we care.

What you do at McKesson matters. We foster a culture where you can grow make an impact and are empowered to bring new ideas. Together we thrive as we shape the future of health for patients our communities and our people. If you want to be part of tomorrows health today we want to hear from you.

Rx Savings Solutions (RxSS) part of McKessons CoverMyMeds organization offers an innovative patented software system that educates and empowers consumers to make the best healthcare choices at the lowest cost. Founded and operated by a team of pharmacists and software engineers we support a collaborative cost-saving solution for purchasing prescription drugs.

We currently have an opportunity for aSr AssociateData Scientistto join our engineering team!The Sr Associate Data Scientist is a junior-level position on our team that contributes to the development deployment and optimization of machinelearning models and analytical solutions within the RxSS Data & AI ecosystem. This role leverages the Databricks platform spanning Delta Lake Unity Catalog MLflow and associated cloud services to support model lifecycle activities data engineering collaboration and applied data science initiatives across the business. The Sr Associate Data Scientist is responsible for handson model experimentation feature engineering and data preparation in partnership with Data Engineering Product and Analytics teams.

* Our ideal candidate will reside in the Columbus OH or Overland Park KS areas to support a hybrid work scenario but we me may consider a well-qualified fully remote candidate.

*At this time we are not able to offer sponsorship for employment visas. This includes individuals currently on F-1 OPT STEM OPT or any other visa status that would require future sponsorship. Candidates must be authorized to work in the United States on a permanent basis without the need for current or future sponsorship.

Key Responsibilities:

Machine Learning & Model Development

• Build train evaluate and optimize machinelearning models using Spark MLlib Python and cloudbased 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.

Databricks Cloud Engineering

• 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 costefficient compute usage.

Data & Feature Engineering

• Build reusable productiongrade 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

Collaboration & CrossFunctional Support

• Partner with Data Engineering Analytics Product and SMEs to translate business problems into datadriven solutions

• Document model assumptions data transformations evaluation metrics and deployment patterns

Required Qualifications:

• Bachelors 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 Qualifications:

• 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

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors including performance experience and skills equity regular job market evaluations and geographical markets. The pay range shown below is aligned with McKessons pay philosophy and pay will always be compliant with any applicable regulations. In addition to base pay other compensation such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson pleaseclick here.

Our Base Pay Range for this position

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McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees without regard to race color religion sex sexual orientation gender identity national origin protected veteran status disability age genetic information or any other legally protected category. For additional information on McKessons full Equal Employment Opportunity policies visit our Equal Employment Opportunity page.

McKesson welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation please contact us by sending an email to .

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