Director Data Sciences - Recommendations (Full-Time Remote or Hybrid)

Employer
Target
Location
Brooklyn Park, Minnesota
Posted
May 18, 2022
Closes
Jun 16, 2022
Employment Status
Full Time
Description:
JOIN TARGET AS DIRECTOR of DATA SCIENCES - RECOMMENDATIONS

About us:

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 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 this role:

The Item Recommendations team is part of Target's Digital and Marketing Data Sciences organization. Our team develops cutting-edge solutions that power exceptional Guest experiences on Target.com and the Target App. We support our guest's digital shopping journey through the personalized and contextualized recommendation of highly relevant products.

As a Director of Data Sciences at Target, you will be the technical leader of a team of data scientists and engineers that will design, develop, deploy and maintain models and algorithms, leveraging Machine Learning, Deep Learning, Computer Vision, Natural Language Processing and Reinforcement Learning. You'll work closely with Digital and Technology business partners to continuously learn more about our business needs, and to design relevant, highly performant solutions. You'll also work with engineers and data scientists on peer teams along with your own to build and productionize recommendation 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, support, and feedback to team members. You'll also create an atmosphere of teamwork, collaboration, inclusion while communicating day-to-day decisions, priorities, and relevant project information. You'll also manage resource allocation as well as define and communicate overall vision and goals for the team.

Requirements:
  • MS/PhD in Computer Science, Mathematics, Statistics, Operations Research, Economics, Physics, or related major (or equivalent industry experience)
  • 7+ years of experience in modeling and algorithms
  • 3+ years managing, leading and developing technical teams
  • Experience deploying models with large-scale business impact in commercial setting
  • Deep expertise in Machine Learning and Deep Learning algorithms, proficient in Python, R, Java
  • Demonstrated experience in strategic and cross-functional leadership, planning and execution
  • Excellent written and verbal communication skills


Bonus Points:
  • Experience with Recommender Systems in retail
  • Experience in Reinforcement Learning and/or Natural Language Processing related areas both in theory and practice


Why work with us at Target?
  • You will work directly on challenging problems and see the impact of your solutions on Target's Guest experiences.
  • We love open source! Many of our team members contribute to open-source communities and get to do it during work time. 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!
  • We value diversity. We believe that diversity and inclusion are core importance when we try to create positive 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 value our team members for who they are, not just what they can get done. We treat our team members like people, not like cogs in a machine. We are parents, hobbyists, enthusiasts, family members, and community members, and can offer flexibility to our team members' schedules and work arrangements so that they can flourish both inside and outside of work.


This position may be considered for a Full-Time Remote or Hybrid work arrangement based on Target's needs. A Hybrid work arrangement means the team members core role will be a blend of virtual and onsite at a Target location. A Full-Time Remote work arrangement means the team member works full-time from home or an alternate location that's not a Target location, does not have a desk at their primary HQ work location and may travel to HQ up to 4 times a year.

Colorado, Connecticut or Nevada Residents Only: The salary range for Colorado, Connecticut or Nevada residents is $150,100 to $270,200.00 Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Find competitive benefits from financial and education to well-being and beyond.

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:

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