JOIN TARGET AS DIRECTOR of Data Sciences Search Technologies.

About Us:

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers.Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful.

Overview about Target In India

At Target, we have a timeless purpose and a proven strategy. And that hasn’t happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target’s global team and has more than 4,000 team members supporting the company’s global strategy and operations.

About the role:

This role is to be one of the leaders in Target’s Search team which uses AI to power search on target.com and App. The Search team builds the core relevance engine and products that power Target’s digital experience. As a Director of Search on this product – you’ll work with business partners to provide solutions for business problems in a fast-paced and global environment. You’ll have the opportunity to design quality, flexible and performant AI systems and services at scale. You 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.

In this role as Director of Data Sciences, you will:

Develop a strong understanding of business and operational processes within Target’s Search ecosystem.

Develop an in-depth understanding of the various systems and processes that influence Digital guest experience. Identify opportunities to drive efficiencies through simulation/optimization/enhanced decision models.

Lead a team that writes code for mathematical and statistical models. Develops modular framework to build large scale Optimization, Relevance and Retrieval ecosystem.

Continually add new capabilities and features to the models to reflect the complexities of an evolving Search Framework.

Develop modeling and simulations for various NLP technology for query and document analysis, processing, and understanding.

Design and develop data pipelines for feature/label extraction and generation.

Guide business decisions by highlighting opportunities, identifying correlations, defining experiments, and determining cause and effect relationships.

Collaborate with the Product and Technology teams to advance our technical capabilities in developing and deploying models.

Define financial and analytic metrics to measure complicated decision model outcomes and produce performance reports.

Mentor and partner with other engineers to develop technology that meets business needs.

Communicate insights and recommendations to senior leaders, helping to drive business decisions and strategy.

Promote a culture of algorithmic decision-making across the organization, encouraging stakeholders to incorporate data insights into their decision-making processes.

Innovate constantly and keep systems up to date with current technologies.

Requirements:

MS/PhD in Computer Science, Information Theory, Applied Mathematics or Applied Physics, or equivalent work/industry experience.

12+ years of experience in Machine learning and Algorithms Design.

Strong in NLP (Natural language Processing) and Information Retrievals Fundamentals.

Strong in Deep Learning frameworks like: Transformers, Graph Neural Networks etc.

Hands on experience in ML Algorithm Design and Large-Scale systems design.

5+ years managing/leading, career development and mentoring ML teams.

Experience deploying models with large-scale business impact in commercial setting.

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

Ability to covert a Business problem to Machine learning solution.

Excellent written and verbal communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs and narratives.

Experience is Large Language Models (LLMs) fine tuning is a plus.

Why work with us at Target? 

You will work directly on data science problems that have the most impact on Target's entire supply chain, forecasting and digital fulfilment teams.

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 is of core importance when 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 value our team members for who they are, not just what they can get done. We treat out 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.

Useful Links-

Life at Target- https://india.target.com/

Benefits- https://india.target.com/life-at-target/workplace/benefits

Culture- https://india.target.com/life-at-target/diversity-and-inclusion

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