Target Hiring for Director Data Sciences at Bengaluru, India Full Time

Description:

JOIN TARGET AS DIRECTOR of DATA SCIENCE S – * *Personalised Offers

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 Personalised offers team is part of Target’s Guest Data Sciences organization. Our team develops cutting-edge solutions that power exceptional guest experiences on Target.com and the Target App.

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, and Reinforcement Learning.  You’ll work closely with Marketing, Loyalty, 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  offer 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 in both applied science and ML engineering and author various project related documents, vision statements, and roadmaps.

You will develop a world-class team and provide development, coaching, support, and feedback to team members.  You’ll also create an atmosphere of teamwork, collaboration, and 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, Economics, Physics, or a related major (or equivalent industry experience) 

• Demonstrated experience in strategic and cross-functional leadership, planning, and execution 

• 7+ years of experience in modeling and algorithms 

• 3+ years managing, leading and developing technical teams 

• Experience deploying deep learning and machine learning models with large-scale business impact in a commercial setting 

• Strong proficiency in Python 

• Able to produce documents/narrative suggesting actionable insights

• Excellent communication skills; able to clearly tell data driven stories through appropriate visualizations, graphs, and narratives

• Strong team player with ability to collaborate effectively across geographies/time zones

Bonus Points : 

• Experience in the retail industry or similar consumer-focused domain

• Proven track record of delivering impactful data-driven solutions that drive business outcomes

• Hands-on and theoretical experience with Reinforcement Learning

• Familiarity with best practices in MLOps, CI/CD, and code test coverage

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. 

Qualifications: