Target is looking to develop and manage state-of-the-art predictive algorithms that use data at scale to automate and optimize decisions, specifically focusing on one-to-one personalization at scale across digital channels.
Requirements
- 5+ years of applied data sciences experience, preferably with 3+ years of experience in large scale 1:1 personalization
- Proficient in one or more programming language – Python, R, Java or Scala
- Demonstrated experience building and deploying ML models in production environments
- Extensive experience in algorithm design, data structures, testing/measurement and ML Ops (GCP - Vertex AI, BigQuery, Spark, Databricks, Snowflake, etc.)
- Strong background in Machine Learning with hands-on experience in Personalization, NLP, and/or Deep Learning frameworks (TensorFlow, PyTorch, Scikit-learn)
- MS or PhD in quantitative disciplines – Computer Science, Applied Mathematics, Statistics, Physics or related quantitative industry experience
- Experience in large scale 1:1 personalization
Responsibilities
- Design, build, and optimize ML models for one-to-one personalization, including recommendation systems, ranking models, customer propensity models, and reinforcement learning approaches
- Provide technical leadership to a team of data scientists and engineers, setting the vision and roadmap for personalization
- Develop testing frameworks (A/B, multi-armed bandits, causal inference) to rigorously measure the impact of personalization initiatives
- Partner closely with product managers, engineers, and business stakeholders to translate business problems into data science solutions
- Ensure models are production-ready, scalable, and integrated into digital platforms with high reliability and performance
- Stay current on advances in ML/AI (deep learning, embeddings, transformers, LLM’s, reinforcement learning) and evaluate their application for personalization use cases
- Modeling and applied data sciences of highly performant code for model performance
Other
- Hybrid/Flex for Your Day work arrangement
- Excellent verbal and written communication skills with an ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives
- Self-driven and results oriented; able to meet tight timelines
- Collaborative team player with ability to partner effectively across geographies/time zones
- MS or PhD in quantitative disciplines
