Target Data Sciences is looking to hire a Senior Data Scientist to help develop and manage state-of-the-art predictive algorithms that use data at scale to automate and optimize decisions within the Stores and Properties domain. This role will focus on solving retail challenges at scale within Target's stores, improving operational efficiency, and supporting initiatives like payroll forecasting and sustainable energy solutions.
Requirements
- Demonstrated programming experience in Python, R, SQL or Scala and the ability to learn and apply new languages and test-driven development
- Experience cleaning, transforming, and analyzing large datasets for insights leading to business improvements.
- Experience developing, testing, and maintaining large codebases in a collaborative environment while meeting industry best practices.
- Extensive knowledge of mathematical and statistical concepts, forecasting, data structures, algorithms, data analysis, and visualizations applied to business problems
- Experience deploying solutions in ML Ops with large-scale business impacts
- 3 plus years of professional experience in applying Machine Learning models to solve complex problems in Retail or related domains
- Strong analytical thinking and data visualization skills.
Responsibilities
- Design, develop, deploy, and maintain data science models and tools.
- Develop forecasting models, mathematical models (probabilistic/deterministic 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.
- Drive efficiencies across analytics and reporting processes using automation.
- Deliver meaningful insights to business teams, partners and stakeholders that support meaningful decisions.
- Analyze large datasets to derive insights for business process improvements and solution development.
Other
- MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science or equivalent work experience
- Self-driven and results-oriented, with the ability to meet tight timelines
- Strong team player with the ability to collaborate across geographies/time zones
- Excellent written and verbal communication skills
- Forecasting experience desired
