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

• 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

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 (https://corporate.target.com/about) .

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 Applied Data Sciences 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 Digital Marketing, Supply Chain Optimization, Advanced AI, 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 at scale.