Data Scientist developing advanced analytical solutions affecting business decisions. Expertise in data science with a focus on impactful, strategic projects.
About the role
- Sr Associate Data Scientist contributing to machine learning model development at McKesson. Collaborating across teams to leverage data-driven solutions within the healthcare sector.
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
- Build reusable, production‑grade feature pipelines in PySpark and SQL
- Partner with Data Engineering, Analytics, Product, and SMEs to translate business problems into data‑driven solutions.
Requirements
- 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.
Benefits
- Competitive compensation package
- Annual bonus opportunities
- Flexible work arrangements
- Professional development initiatives
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