Sr Data Scientist - Stores and Properties (applied ML, forecasting) at Target

Brooklyn Park, Minnesota, United States

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$95,000 – $171,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Retail, TechnologyIndustries

Requirements

Strong background in data science, including modeling, statistics, optimization, or machine learning
Experience with applied machine learning, forecasting, and predictive algorithms using data at scale
Proficiency in software/product development of highly performant code for model performance
Retail domain knowledge, particularly in stores operations, properties, payroll forecasting, fulfillment planning, sustainable energy solutions, and operations simulation
Ability to analyze large datasets to derive insights for business process improvements
Experience developing forecasting models, mathematical models (probabilistic/deterministic), and implementing them in production systems
Skills in building and maintaining complex software systems and tools
Capability to troubleshoot and resolve issues in models and software

Responsibilities

Collaborate with Product, Tech, and business partners to solve retail challenges at scale within stores
Design, develop, deploy, and maintain data science models and tools
Work closely with applied data scientists, data analysts, and business partners to learn and address evolving business needs
Collaborate with engineers and data scientists on peer teams to build stores solutions
Develop a strong understanding of business and operational processes within Target’s Stores
Gain an in-depth understanding of systems and processes influencing stores’ efficiency
Analyze large datasets to derive insights for business process improvements and solution development
Develop forecasting models, mathematical models, and implement them in real-world production systems with measurable impact
Collaborate with the team to build and maintain complex software systems and tools
Coordinate the analysis, troubleshooting, and resolution of issues in models and software
Partner with cross-functional teams to deliver on business objectives
Provide financial insight and guidance to business partners and leadership
Drive efficiencies across stores and properties initiatives

Skills

Machine Learning

Applied ML

Forecasting

Predictive Algorithms

Data Science

Python

Modeling

Software Development

Retail Domain Knowledge

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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