Director of Data Sciences - Search/Browse (NLP, Query Understanding, Applied ML)

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 A DIRECTOR of DATA SCIENCES – SEARCH and BROWSE

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. At our core, 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 Tech 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 Optimization, Network Security rely on.
 

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 our mobile app. The Search team builds the core relevance engine and products that power Target’s digital experience. As the 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 - Search, 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 ecosystems
• 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
• Collab