Lead Data Scientist- Content Creation

Team Overview

The Content Creation team within Data Sciences will help build AI solutions leveraging , GenAI , computer vision and traditional ML models for various marketing or site content use-cases . The team will play a crucial role in helping Target drive relevancy with guests.

Pos ition Overvie w

As a Lead Data Scientist, you ll influence by interacting with the Data Sciences team, Product teams, Scientist/Engineer individual contributors from other pillars, and business partners. You will perform within the scale and scope of your role by defining solutions and beginning to identify problems to solve and contribute to Data Sciences and Target s culture by modeling and contributing to the culture. You ll get the opportunity to use your expertise in one or more of the following areas: machine learning, probability theory statistics, optimization theory, Simulation, Econometrics, Deep Learning, Natural Language processing or computer vision. We will look to you to own design and implementation of an algorithmic solution (e.g., recommendation or forecasting algorithm), including data understanding, feature engineering, model development, validation and testing, and deployment to a production environment.

You ll drive development of problem statements that capture the business considerations, define metrics/measurement to validate model performance, and drive feasibility study with data requirements and potential solutions approaches to be considered. You ll evaluate tradeoffs of simple vs complex models/solutions in determining the right technique to employ for a business problem and develop and maintain a nuanced understanding of the data generated by the business, including fundamental limitations of the data. You ll leverage your proficiency in one or more approved programming languages (Java, Scala, Python, R ), and ensure foundational programming principles in developing code (best practices, writes unit tests, code organization, basics of CI/CD etc.) are followed in developing the team s products/models.

You ll not only stitch together basic data pipelines for a given problem and own design and implementation of individual components within Data Science/Tech applications, but also articulate the technical strategy, value of technology, and impact on the business. As you do so, you ll collaborate with engineers, scientists, and business partners/product owners to create algorithmic solutions that are performant and integrated into applications. We ll look to you to mentor and provide technical support within a team, including mentoring junior team members, and present your work and your team s work to business partners and other Data Sciences teams. With a deeper understanding of your functional area of responsibility, you ll support agile ceremonies, collaborate with peers across multiple products, communicate and collaborate with business partners, and demonstrate an understanding of areas outside your scope of responsibility. The exciting part of retail It s always changing!

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

About You

• 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics)

• M asters in Computer Science , Applied Mathematics, Statistics, Physics or over 6 plus years of relevant industry experience

• Good knowledge and experience developing optimization, simulation and statistical models

• Experience in working with image, text data, embeddings , building vision models and leveraging Gen AI tools

• Strong expertise in Machine Learning frameworks such as TensorFlow, PyTorch or similar libraries; experience with Generative Adversarial Networks or Diffusion Models is desirable

• Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory

• Excellent problem-solving skills combined with strong analytical abilities.

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

• Proven leadership skills with experience mentoring junior scientists effectively