Lead Ai Scientist - Demand Forecasting (GAM, Time Series)

Employer
Target
Location
Minneapolis, Minnesota
Posted
Mar 01, 2022
Closes
Mar 05, 2022
Employment Status
Full Time
Description:
JOIN US AS A LEAD AI SCIENTIST - DEMAND FORECASTING (Times Series/GAM)

Join Target's Artificial Intelligence team where you will define and shape what the future of retail looks like! Our team oversees the creation and development of the Demand Forecasting quantitative platform - developing the core algorithms and components that allows many Target divisions to evaluate and anticipate the demand and prices for every Target item at every Target store (i.e. millions of forecasts). We develop these algorithms and platform tools to be performant and accurate while also integrating them into our user's workflow allowing Target to quickly respond to our guest's needs.

In Target's Ai Demand Forecasting team, the Lead Ai Scientist contributes as follows:
  • Lead and develop near and long-term forecasting algorithms that solve key Supply Chain and Merchandising business opportunities
  • Train machine learning algorithms on millions of data points
  • Generate millions of forecasts across all the items in the Target enterprise stores
  • Work closely with the Target teams and leaders to identify and lead new opportunities
  • Analyze the complex and rich Target data to solve and evaluate valuable business problems that support Target enterprise decisions
  • Help lead and develop large-scale implementations of machine learning models using Target's rich data sources
  • Collaborate with Target's global Ai team to develop effective, valuable and performant Ai solutions for Target


Requirements:
  • PhD or MS in Computer Science, Mathematics, Statistics, Physics, Economics, Operations Research or equivalent work experience in quantitative field
  • Proficiency in one of the following programming languages: Python, Java, Scala or C
  • 5+ years of experience developing and deploying algorithms in a production environment
  • Excellent engineering mindset and exposure to software engineering principles like: data pipeline engineering, distributed systems, ML at scale and Agile methodology
  • Experience querying large databases with SQL, HQL or some variation
  • Strong collaboration skills and willingness to teach, learn from both tech and business experts
  • A strong passion for empirical research and for answering hard questions with data
  • Excellent written and verbal communication skills


Preferred:
  • Experience designing algorithms for Time Series Forecasting and Demand Forecasting Engines
  • Experience in establishing standards and best practices in the development and production deployment of statistical data models
  • Experience using ML and Deep Learning frameworks such as Tensorflow, Keras or PyTorch


Why grow your career with Target Ai?

You'll work directly on the Ai/ML problems that have a significant impact on Target's entire Supply Chain, Merchandising, Digital (Target.com/Mobile) and Forecasting teams. We value diversity! We believe that diversity and inclusion is of core importance when we try to create positive in-store experiences for our guests, and we think it is also critically important when building our teams. Read more about our commitment to diversity and inclusion We love open source! We leverage open-source and Target believes giving back to the community. Our team members contribute to the open-source communities and we get to do it during work hours. We try to contribute back to our communities where we can and are grateful to be able to open source some of our own projects!

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:

Similar jobs

Similar jobs