Target is looking to solve the problem of providing personalized and data-driven guest experiences through the development and management of state-of-the-art predictive algorithms that use data at scale to automate and optimize decisions.
Requirements
- Demonstrated programming experience in Python, Java or Scala
- Experience deploying Machine Learning algorithms into production environments
- Extensive experience with ML Ops (GCP Vertex AI, BigQuery, etc.) and various testing frameworks and containerization (Docker, Kubernetes)
- Familiarity with Deep Learning frameworks and libraries (TensorFlow, PyTorch, Scikit-learn)
- Experience with Recommendation Systems, Personalization, NLP, or Computer Vision
- Knowledge of feature stores, vector databases, or real-time streaming architectures
- Good understanding of Big Data tech - specifically the Spark and/or the Hadoop ecosystem
Responsibilities
- Design, build and scale production-ready ML systems that power personalized and data-driven guest experiences
- Work closely with data scientists, product managers, and software engineers to turn models into robust, high-performing services that deliver real impact at scale
- Participate in code reviews and create a maintainable and well-tested codebase with relevant documentation
- Design and develop additional tooling, such as REST APIs or streaming message queues, to deliver data to external consumers
- Present work to technical leaders, conduct training sessions, and contribute learnings back to the organization
- Build knowledge on business priorities and strategic goals, leveraging this understanding to inform requirements and solutions for each business need
- Collaborate with product managers, applied data scientists and engineers to understand the business requirements and translate to machine learning solutions at scale
Other
- 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience
- Ability to collaborate with product managers, applied data scientists and engineers to understand the business requirements and translate to machine learning solutions at scale
- Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs and narratives
- Self-driven and motivated team-player with ability to collaborate effectively across global team
- Experience in mentoring junior team members in ML skillset and career development
