Target Brands, Inc.
Location
Park County, MT | United States
Job description
JOIN TARGET AS DIRECTOR of Data Sciences Search Technologies.
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, fuel and 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 technology team of more than 4,000 of engineers, data scientists, architects, coaches 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—and 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 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, Marketing, Supply Chain Optimization, Network Security and Personalization 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 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.
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