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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong employer brand, mid-level data scientist title, metro locations, and broad skills create high competition.
High because role requires specialized forecasting and supply‑chain/diagnostics domain expertise and consulting experience.
Multiple mandatory filters: 6+ years, forecasting specialization, production MLops, and optimization solver experience.
Job Description
Structured overview of role & requirementsAbout 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.