Director of Data Sciences - Search (Applied ML, NLP, Information Retrieval)
Target
- Brooklyn Park, MN
- Permanent
- Full-time
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
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
- Design and develop data pipelines for feature/label extraction and generation.
- Guide business decisions by highlighting opportunities, identifying correlations,
- 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
- MS/PhD in Computer Science, Information Theory, Applied Mathematics, Applied Physics or equivalent work/industry experience
- 5+ years of experience managing/leading and career development of large Applied ML/Data Sciences teams
- Experience in strategic and cross-functional leadership, planning and execution
- 12+ years of experience in Machine learning and Algorithms Design
- Demonstrated industry experience in NLP (Natural language Processing) and Information Retrieval fundamentals
- Hand on experience in ML Algorithm Design and Large-Scale systems design as well as Deep Learning frameworks like: Transformers, Graph Neural Networks, etc.
- Experience deploying models with large-scale business impact in commercial setting
- Ability to convert a Business problem to Machine Learning solutions
- Excellent written and verbal communication skills. Ability to clearly tell data