Description:
Target is an iconic brand, a Fortune 50 company, and one of America's leading retailers. Target as a tech and data company? Absolutely! We're the behind-the-scenes powerhouse that fuels Target's passion and commitment to cutting-edge innovation. We anchor every facet of one of the world's best-loved retailers with a strong technology framework that relies on the latest tools and technologies-and the brightest people-to deliver incredible value to guests online and in stores. Target's Tech and Data Sciences teams are on a mission to offer the systems, tools, and support that guests and team members need and deserve. Our high-performing teams balance independence with collaboration and we pride ourselves on being versatile, agile, and creative. We drive industry-leading technologies in support of every angle of the business and help ensure that Target operates smoothly, securely, and reliably from the inside out.

About the role:

As a Senior Data Scientist on the Finance Sales Forecasting team with Target you'll develop models and algorithms for our retail business. You'll work closely with partner teams to continuously learn more about our business and particularly develop an understanding of the various processes we have in play. You will partner with ML Engineers and Applied Scientists on our partner teams to build solutions for business needs including development, deployment, and maintenance of algorithms and models at scale!

Our team oversees the creation and development of the Sales Forecasting for Labor planning needs, building key components which allow us to evaluate and guide labor planning at our Retail stores. We aim to develop these tools to be more efficient and precise - while also making them directly available to our business team users, allowing us to quickly respond to our Guests' needs in stores.

In this role at Target as a Senior Data Scientist, you'll:

• Change the way Sales forecasting is originated in retail at Target
• Execute solutions to business problems using data analysis, data mining, forecasting, optimization tools, machine learning techniques, and statistics
• Write code for math/stats models to evaluate demand for 1900 locations and items
• Partner with business users and other scientists / engineers to build a framework allowing us to develop a new platform to estimate sales forecast
• Synthesize analysis and results in compelling storylines and communicate to key stakeholders. You should have the ability to tell a story around the problem, the solution and the impact and value of implementing a solution
• Coordinate the analysis, troubleshooting, and resolution of issues in our software and the broader infrastructure
• Serve as an advocate of our data-driven culture with Product, Business, and Engineering to help them utilize insights that'll direct their efforts towards initiatives with highest impacts

What we're looking for:

• M.S/Ph.D. in Mathematics, Statistics, Operations Research, Economics, Physics, Computer Science, or in a related Mathematical or Computational Engineering major (or equivalent research experience)
• 2+ years of experience in building machine learning models, artificial intelligence models, optimization algorithms or equivalent school experience
• Proficient in one or more of Python, R, Scala or equivalent programming language
• Understanding of data structures and algorithms
• Knowledge of linear algebra, statistics, information theory or related mathematical domains
• Understand deep learning, dynamic programming, reinforcement learning or related areas
• Ability to test and measure algorithms
• Excellent written and verbal communication skills

Americans with Disabilities Act (ADA)

Target will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required to comply with applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Target store or Distribution Center or reach out to Guest Services at 1-800-440-0680 for additional information.

Qualifications: