Director Data Sciences

• 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.
  

• You will work directly on data science problems that have the most impact on Targets 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.