Lead Data Scientist - Supply Chain Optimization (applied ML, simulation) at Target

Sunnyvale, California, United States

Target Logo
$128,000 – $277,000Compensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Retail, Supply ChainIndustries

Requirements

  • PhD/MS in Operations Research, Industrial Engineering, Computer Science, Mathematics, Statistics, Physics or related quantitative field
  • 5+ years of experience leading large-scale implementations
  • Strong knowledge of supply chain optimization – inventory, transportation, sourcing, distribution, fulfillment and planning
  • Passion and technical skills for helping make data-informed decisions
  • Strong computer science fundamentals: data structures, algorithms, programming and information retrieval
  • Ability to write understandable, testable Python code with an eye towards maintainability
  • Passion for empirical research and answering hard questions with large scale data
  • Strong communicator: explaining complex technical concepts to business and other data scientists/engineers
  • Understanding that simplicity is hard but key to achieving maintainability and continually delivering value
  • Focus on usability and convenience for business users

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, deploy and productionize models at scale (models run many times a day for millions of combinations of stock keeping units and distribution networks)
  • 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 codebase
  • Improve engineering standards, tooling, and processes
  • Mentor and develop other data scientists and engineers

Skills

Machine Learning
Simulation
Operations Research
Predictive Algorithms
Prescriptive Algorithms
Scalable Code
Supply Chain Optimization

Target

Retailer offering diverse consumer goods

About Target

Target Corporation is a retail company that offers a wide range of products, including clothing, electronics, home goods, and groceries, through nearly 2,000 stores and an online platform. Its "Design For All" philosophy allows it to provide high-quality, affordable products that cater to diverse customer needs. Target differentiates itself from competitors with its owned brands and the Target Circle loyalty program, which enhances customer engagement. The company's goal is to support sustainability and community initiatives by giving back 5% of its profits to local communities.

Minneapolis, MinnesotaHeadquarters
2005Year Founded
N/ACompany Stage
Consumer GoodsIndustries
10,001+Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
Paid Sick Leave
Paid Holidays
Paid Vacation
401(k) Retirement Plan
Employee Discounts

Risks

Increased competition from online-only retailers like Amazon threatens Target's market share.
Rising labor costs due to new minimum wage laws could impact profit margins.
Supply chain vulnerabilities from geopolitical tensions may affect inventory and pricing strategies.

Differentiation

Target's 'Design For All' philosophy offers unique, high-quality products at affordable prices.
The Target Circle loyalty program enhances customer engagement and shopping experience.
Target's commitment to sustainability and community support sets it apart from competitors.

Upsides

Experiential retail and 'retailtainment' strategies can boost customer engagement and foot traffic.
Augmented reality integration offers immersive shopping experiences showcasing Target's unique designs.
Omnichannel retail strategies enhance customer experience by integrating online and offline shopping.

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