Director of Data Sciences - Demand Forecasting Engine (DFE)

The pay range is $160,900.00 - $289,700.00

Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.

JOIN TARGET AS DIRECTOR of DATA SCIENCES – DEMAND FORECASTING ENGINE

About Us:

As a Fortune 50 company with more than 350,000 team members worldwide, Target is an iconic brand and one of America's leading retailers.  Working at Target means the opportunity to help all families discover the joy of everyday life. Caring for our communities is woven into who we are, and we invest in the places we collectively live, work and play. We prioritize relationships, develop talent by creating growth opportunities and succeed as one Target team. Our purpose is ingrained in who we are, what we value and how we work. It’s how we care, grow, and win together.  Every time a guest enters a Target store or browses Target.com, they experience the impact of Target’s investments in technology and innovation. We’re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. 

Join our global in-house Data Sciences team of more than 5,000 software engineers, applied data scientists, architects and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests.  We do so with a focus on diversity and inclusion, experimentation and continuous learning.

A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization, Advanced Algorithms or Machine Learning teams - you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in Search, Personalization, GenAI, Marketing, Supply Chain Network Security, Merchandizing rely on.

About the role: 

The Director of Data Sciences - DFE oversees the creation and development of the Demand Forecasting and Pricing quantitative platforms, building the key components which allow us to evaluate the demand and prices of our products/SKUs.  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 Guest needs on the largest scale with more accuracy. 

As a Director of Data Sciences at Target, you will be the technical leader of a team that will design, develop, deploy and maintain artificial intelligence models and algorithms for our retail business.  You’ll work closely with applied data scientists, data analysts and Merchandising business partners to continuously learn more about our business needs.  You’ll also work with AI engineers and AI scientists on peer teams and your own to build and productionize DFE solutions for our business needs.

The Director of Data Sciences will work with Product, Tech and business partners to define product roadmaps that fit in our ecosystem and solve retail challenges at scale.  You will build consensus and communicate with senior level leadership.  You will drive the creation of new standards and best practices with a focus on emerging technologies and author various project related documents, vision statements and roadmap.

You will develop a world-class team providing development, coaching, motivation and feedback to team members.  You’ll also create an atmosphere of teamwork and collaboration, inclusion, communicating day-to-day decisions, priorities and relevant project information.  You’ll manage resource allocation as well as define and communicate overall vision and goals for the team.

In this role as Director of DFE, you will:

• Change the way demand forecasting is conducted at Target
• Enhance and extend capabilities of our modern demand forecasting platform and its interactions with various planning problems in Merchandising and Supply Chain
• Manage a team of data scientists to develop statistical models to forecast demand for millions of items Target offers, including items that are new, in-season, promoted or in clearance
• Partner with business users and other scientists / engineers to build all the supporting systems of modern demand forecasting framework, allowing for a faster adoption across the enterprise.
• Impact our business by improving our ability to serve our Guests and by directly reducing compute cost through more efficient algorithms
• Coordinate the analysis, troubleshooting and resolution of issues in our software and Infra
• Coach team members and partners on effective data science modelling and outcomes
• Partner with internal teams and external technology companies, including start-ups

About You:

• MS/PhD in Statistics, Applied Mathematics, Computer Science, Applied Physics or equivalent work/industry experience
• 2+ years of experience managing/leading and career development of applied Data Science teams
• Experience in strategic and cross-functional leadership, planning and execution
• 10+ years of experience in Statistics, Machine Learning, and Algorithms Design
• Demonstrated industry experience in time series and demand forecasting at scale
• Hands on experience in ML Algorithm design and Large-Scale systems design as well as familiarity with Deep Learning frameworks like: Transformers, Graph Neural Networks, etc.
• Experience deploying models with large-scale business impact in commercial setting
• Ability to convert a Business problem to Machine Learning solutions
• Excellent written and verbal communication skills. Ability to clearly tell data
  driven stories through appropriate visualizations, graphs and narratives

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs. A Hybrid/Flex for Your Day work arrangement means the team member’s core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.

Americans with Disabilities Act (ADA)

In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com.

Application deadline is : 12/14/2024