Lead Data Scientist: Network Planning & Design

Target Corp; Minneapolis (MN); Híbrido; USD 132.000 - 286.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health benefits

401(k) matching

Employee discounts

Paid vacation

Descripción de la vacante

Target is hiring a Lead Data Scientist for Network Planning and Design to build optimization, simulation, forecasting, and digital twin models shaping Target's long-term supply chain strategy.

You will collaborate with cross-functional teams to define strategic problems, develop scalable decision-support tools, and deploy production-ready analytics; a PhD/MS and 5+ years of leadership in analytics are required, with strong Python/R/Java skills; hybrid work option.

Formación

• PhD/MS in a quantitative field and 5+ years leading large-scale analytics initiatives.
• Proficiency in Python, R, Kotlin or Java; production-grade code.
• Experience with SQL/Hive and data tooling; familiarity with optimization solvers (e.g., Gurobi).
• Strong communication to present data-driven insights to executives.

Responsabilidades

• Define and structure ambiguous supply chain problems into clear frameworks for decision-making across teams.
• Develop and maintain optimization, simulation, forecasting, and digital twin models.
• Deliver scalable decision-support tools and partner with engineering to productionize analytics.
• Build reusable analytical tools and dashboards for decision support.
• Mentor data scientists and analysts; drive modeling standards.

Conocimientos

Python

R

Java

Optimization

Machine Learning

Statistics

Visualization

Educación

PhD/MS in Operations Research/Industrial Engineering/Computer Science/Math/Statistics/Physics or related quantitative field

Herramientas

Gurobi

SQL

Hive

Descripción del empleo

Target is hiring a Lead Data Scientist for Network Planning and Design to build optimization, simulation, forecasting, and digital twin models shaping Target's long-term supply chain strategy.

You will collaborate with cross-functional teams to define strategic problems, develop scalable decision-support tools, and deploy production-ready analytics; a PhD/MS and 5+ years of leadership in analytics are required, with strong Python/R/Java skills; hybrid work option.