$98,000 – $211,000
Listed on Target’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Target is seeking a senior data scientist to develop and deploy optimization and machine learning algorithms that improve supply chain decisions across inventory, transportation, and distribution. This role suits experienced practitioners with strong quantitative backgrounds who want to apply advanced analytics to large-scale operational problems.
Our summary, not Target’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- MS or PhD in Industrial Engineering, Operations Research, Computer Science, Applied Mathematics, Statistics, Physics or related quantitative field
- 3+ years leading large-scale optimization, simulation, machine learning and deep learning implementations
- Extensive experience writing performant code and deploying algorithms in production
- Proficiency in Python, R or Java
- Expert-level mathematical modeling with mixed-integer programming, stochastic dynamic programming and reinforcement learning
- Advanced statistical techniques including regression, clustering, PCA and time series forecasting
- Production SQL/Hive experience or internal data tools development
- Strong supply chain domain knowledge across inventory, transportation, sourcing, distribution, fulfillment and planning
Nice to have
- Experience with application and software architecture definition and process modeling
- Demonstrated ability to communicate insights through visualizations and narratives