Sr Applied Data Scientist - 1:1 Personalization, Audience and Experimentation (applied ML, PyToch, A/B testing)

• Model Development: Design, build, and optimize ML models for one-to-one personalization, including recommendation systems, ranking models, customer propensity models, and reinforcement learning approaches
• Experimentation & Measurement: Develop testing frameworks (A/B, multi-armed bandits, causal inference) to rigorously measure the impact of personalization initiatives within marketing optimization
• Collaboration: Partner closely with product managers, engineers, and business stakeholders to translate business problems into data science solutions
• Scalability & Deployment: Ensure models are production-ready, scalable, and integrated into digital platforms with high reliability and performance
• Innovation: Stay current on advances in ML/AI (deep learning, embeddings, transformers, large language models, reinforcement learning) and evaluate their application for personalization use cases

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

• 4-year degree in quantitative disciplines (Science, Technology, Engineering, Mathematics, Statistics) or equivalent industry experience
• 3+ years of applied data sciences experience, end to end with digital marketing and measurement teams
• Experience with statistical tools of A/B testing both at the customer level as well as matched-market testing
• Strong hands-on experience in personalization/recommendations, applied ML, NLP, and deep learning
• Experience with real-time systems, online learning, and recommendation algorithms at scale
• Demonstrated proficiency in Python, SQL, and modern ML libraries such as TensorFlow, PyTorch, Scikit-learn
• Experience with large-scale data platforms - GCP Vertex AI, Spark, Databricks, Snowflake, etc.
• Proven track record of building and deploying applied ML models in production environments
• Extensive problem-solving skills: develop creative and innovative solution to help solve real-world business problems using data sciences approaches
• Motivated, team player with ability to collaborate effectively across global team
• Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target's needs. A Hybrid/Flex for Your Day work arrangement means the team member's core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.