Hybrid Senior Data Scientist, Supply Chain Optimization & ML

Target; Sunnyvale (CA); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Target Data Sciences is seeking a Sr Data Scientist for Global Supply Chain and Logistics in Sunnyvale. You will collaborate with fellow data scientists and engineers to develop and deploy optimization and machine learning models at scale, shaping end-to-end supply chain decisions for Target.

You will learn the retail business intimately, balance model complexity with performance, and deliver impactful data-driven insights to business and product partners while advancing engineering standards

Qualifications

• PhD or MS in Operations Research, Industrial Engineering, Computer Science, Mathematics, Statistics, Physics, or related quantitative fields.
• 3+ years of experience leading large-scale implementations of optimization, simulation, machine learning and deep learning modeling at scale.
• Demonstrated experience writing highly performant code and deploying algorithms in a production environment.
• Proficient in one or more programming languages: Python, R, Kotlin, or Java.
• Expert at formulating and implementing mathematical models ranging from mixed-integer programming, stochastic dynamic programming and reinforcement learning.
• Experience in implementing advanced statistical techniques like regression, clustering, PCA, time series forecasting, etc.
• Proficient in application/software architecture (definition, process modeling, etc.).
• Experience writing production datasets in SQL/Hive or building internal/production data tools for research or experimentation in a scripting language like Python.
• Able to produce reasonable documents and narratives suggesting actionable insights.
• Excellent communication skills with an ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives.
• Self-driven and results oriented; able to meet tight timelines.
• Collaborative team player with ability to partner effectively across time zones.

Responsibilities

• Review and iterate on optimization and machine learning algorithms and develop state of the art mathematical models.
• Collaborate with engineers to design and deploy algorithms in production at scale.
• Work with business partners to learn about the retail business and processes in play.
• Ideate and resolve tradeoffs between model granularity and features as well as performance, reliability, and usability of our codebase. Improve engineering standards, tooling, and processes.

Skills

Supply chain optimization

Computer science fundamentals

Code quality and testing

Data-driven storytelling

End-user focus

Ambiguity management

Attention to detail

Cross-time-zone collaboration

Education

PhD in Operations Research

MS in Industrial Engineering

MS in Computer Science

Tools

Python

R

Kotlin

Java

SQL/Hive

Job description

Target Data Sciences is seeking a Sr Data Scientist for Global Supply Chain and Logistics in Sunnyvale. You will collaborate with fellow data scientists and engineers to develop and deploy optimization and machine learning models at scale, shaping end-to-end supply chain decisions for Target.

You will learn the retail business intimately, balance model complexity with performance, and deliver impactful data-driven insights to business and product partners while advancing engineering standards