Senior Data Scientist - Retail Analytics

Target

United States

United States

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À propos

The pay range is $95,000.00 - $171,000.00 At Target, we prioritize our team members by offering comprehensive health benefits, including medical, vision, dental, and life insurance, among others. Additional perks include a 401(k) plan, employee discounts, paid sick leave, national holidays, and vacation time. Discover more about our competitive benefits. BE PART OF OUR TEAM AS A SENIOR DATA SCIENTIST - RETAIL ANALYTICS About Us: Joining Target means joining a mission to help families experience the joy of everyday living. Our focus is on delivering this vision through our solid values and strong culture. In Target Data Sciences, you will have the opportunity to develop and manage cutting-edge predictive algorithms that harness data to optimize decisions at a large scale. Team Overview: The Stores and Properties Data Science team engages in various initiatives such as payroll forecasting, optimizing store fulfillment planning, and providing sustainable solutions. Become part of a collaborative group committed to creating innovative solutions tailored for our stores and properties partners. Position Overview: As a Senior Data Scientist, you will partner with Product, Tech, and business teams to tackle retail challenges on a grand scale. Your main responsibilities will revolve around designing, developing, deploying, and maintaining impactful data science models and tools. Work closely with data scientists and analysts to adapt to the changing business landscape, and join forces with engineers to deliver effective store solutions. Compile an in-depth understanding of Target's operational processes to enhance store efficiencies. Analyze significant datasets to extract actionable insights for driving business improvements. Develop and implement forecasting and mathematical models that provide real-world applications and measurable outcomes. Collaborate with the team to build and maintain sophisticated software systems and tools. Lead the analysis and resolution of model-related issues, collaborating with cross-functional teams to achieve business objectives. Provide financial insights to both business partners and leadership teams. Improve analytics and reporting processes through automation for enhanced efficiency. Deliver key insights to aid decision-making across the organization. About You: MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or equivalent experience. 3+ years of professional experience using machine learning within retail or related fields. Proficient in Python, R, SQL, or Scala, with a dedication to continuous learning and adhering to best practices. Strong analytical thinking and data visualization skills, coupled with a talent for creatively solving business challenges. Experience managing large datasets, especially in data cleaning, transformation, and generating insights for business enhancement. Background in collaboratively developing and maintaining extensive codebases while following industry standards. Comprehensive knowledge of mathematical and statistical concepts, forecasting, and data analysis applied to real-world business problems. Experience deploying machine learning solutions that drive significant business impact. Self-motivated with a results-oriented mindset and the ability to meet tight deadlines. A collaborative team player with the ability to communicate effectively across various time zones. Experience in forecasting is a plus. This position operates in a Hybrid/Flex for Your Day work setup at the Target HQ in Minnesota. Duties may require both onsite and virtual work depending on team needs. Please note that work cannot be performed outside of the specified work location unless otherwise stated. Americans with Disabilities Act (ADA) In compliance with legal requirements, Target is committed to making reasonable accommodations for applicants with disabilities. If accommodations are needed to participate in the application or interview process, please reach out via email. Non-accommodation inquiries, including those about the application, will not be addressed through this channel. The application deadline is: 01/29/2026

United States

Compétences linguistiques

English

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