Senior Data Scientist
Roche (company site, opens in a new tab)6+ yrsHyderabad, ChennaiOn-siteDirect career pageEst. 28–45 LPA
Posted on 22 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end forecasting, optimization, and machine learning solutions for strategic supply chain consulting engagements with Roche's key diagnostic customers.
- Evolve and scale existing production forecasting engines into broader supply chain optimization frameworks delivering measurable impact on service levels and working capital.
- Translate complex customer supply chain challenges into deployable models and directly communicate results and recommendations to senior stakeholders.
Minimum Requirements
- 6+ years of hands-on data science experience with proven ownership of production forecasting systems.
- Master’s or Bachelor’s degree in Statistics, Operations Research, Computer Science, Applied Mathematics, Econometrics, or related quantitative field.
- Strong programming skills in Python and SQL with experience in advanced time series forecasting techniques and optimization solvers.
- Experience working directly with external customers or clients in a consultative or client-facing data science role.
Ideal Candidate Profile
- Deep practical expertise in supply chain forecasting, replenishment, and inventory optimization with measurable business impact.
- Comfortable operating in a hybrid technical-consultative role interacting with senior business stakeholders and cross-functional teams globally.
- Experienced in delivering production-ready models in cloud environments using modern ML Ops tooling and able to collaborate effectively with visualization and product teams to operationalize insights.