# Sr Data Scientist – Supply Chain

**Company**: Target
**Location**: Sunnyvale, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $98,000.00 - $211,000.00
**Category**: Data Science
**Industry**: Retail

**Apply**: https://target.wd5.myworkdayjobs.com/en-US/targetcareers/job/100-Mathilda-PlaceSte-100-SunnyvaleCA-94086-6017/Sr-Applied-Data-Scientist---Supply-Chain-Optimization_R0000446858?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_200c6999-cc1

## Description

We are seeking a Senior Data Scientist to join our Supply Chain team at Target. As a Senior Data Scientist, you will have the opportunity to develop and manage state-of-the-art predictive and prescriptive algorithms that use data to automate and optimize decisions at scale.

In this role, you will work closely with fellow data scientists to review and iterate on optimization and machine learning algorithms and develop state-of-the-art mathematical models. You will collaborate with engineers to design and deploy algorithms in production at scale, and work with business partners to learn about the retail business and processes in play.

Responsibilities:

- Work closely with fellow data scientists to 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

Requirements:

- PhD or MS in Industrial Engineering, Operations Research, Computer Science, Applied Mathematics, Statistics, Physics or related quantitative fields

- 3+ years of experience leading large-scale implementations of optimization, simulation, machine learning and deep learning at scale

- Extensive experience writing highly performant Python code and deploying algorithms in a production environment

- 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

- 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, with strong ownership, sound judgment and the ability to move quickly while maintaining high technical standards

- Collaborative team player with a commitment to continuous learning, knowledge sharing, and building reliable AI systems that create business value

Benefits:

- Comprehensive health benefits and programs

- 401(k)

- Employee discount

- Short-term disability

- Long-term disability

- Paid sick leave

- Paid national holidays

- Paid vacation

## Skills

### Required
- Python
- machine learning
- optimization
- mathematical modeling
- statistical analysis
- data visualization
- communication

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Source: [Apply at target.wd5.myworkdayjobs.com](https://target.wd5.myworkdayjobs.com/en-US/targetcareers/job/100-Mathilda-PlaceSte-100-SunnyvaleCA-94086-6017/Sr-Applied-Data-Scientist---Supply-Chain-Optimization_R0000446858?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)