JOIN TARGET AS A LEAD DATA SCIENTIST – GENERATIVE AI

About Us:

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.

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 Marketing, Supply Chain Optimization, Search and Personalization rely on.    Every Scientist on Target’s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, to elevate Target’s culture, and apply retail domain knowledge.

As Lead Data Scientist, you’ll join a Data Sciences team responsible for initializing and helping launch GenAI features, developing centralized GenAI tools/services, and building organizational capabilities around GenAI. Working closely with a team of product engineers, you’ll facilitate optimal scaling and adoption of GenAI features, which includes designing and developing at-scale GenAI system architectures, prompt engine development, creating optimal model selection strategy, continuous monitoring & evaluation mechanisms, etc. Based on your understanding of GenAI tools and business requirements, you’ll help develop centralized tools and services to evaluate and control GenAI model output quality across the enterprise. Given this is a rapidly evolving space, you will be required to stay up to date with emerging trends in the industry and leverage your experience as well as expertise in building applied machine learning / deep learning solutions to fine-tune pre-trained GenAI models when needed. We will utilize Agile principles, follow best-practice software design, participate in code reviews, and create a maintainable and well-tested codebase with relevant documentation. At an organizational level, you’ll conduct training sessions, present work to technical and non-technical peers/leaders, build knowledge on business priorities/strategic goals and leverage this knowledge while building requirements and solutions for each business need.

Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.

About you:

• 4-year degree in Quantitative disciplines (Science, Tech, Engineering, Mathematics) and 6+ years of professional experience or equivalent industry experience

• Experience solving relevant real-world problems using a data science approach

• Strong analytical thinking skills. Ability to creatively solve business problems, innovating new approaches where required

• Demonstrated hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired

• Exceptional knowledge of mathematical and statistical concepts, MILP, algorithms, and computational complexity

• Experience in implementing advanced statistical techniques like regression, clustering, PCA, forecasting (time series), etc.

• Able to create reasonable documents/narrative suggesting actionable insights

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

• Self-driven and results oriented; able to meet tight timelines

• Motivated, team player with ability to collaborate effectively across geographies

Preferred:

• MS or PhD in a quantitative field

• Experience with developing Gen AI-based systems

• Demonstrated experience in applied ML and deep learning frameworks