Job Description:
Basic Qualifications
2+ years of experience with statistical data science techniques, feature engineering, and customer segmentation.2+ years of experience with SQL, PySpark, and Python.
2+ years of experience training, evaluating, and deploying machine learning models.
2+ years of experience productionizing and deploying ML workloads in AWS/Azure.
Familiarity with containerized application tooling and deployments (Docker/Kubernetes).
Bachelor s Degree or higher in Computer Science/Engineering/Math, or relevant experience.
Extra Credit
Experience with Databricks platform.Experience building ML models with large amounts of structured and unstructured data.
Experience working with MarTech platforms (e.g., CDPs, DMPs, ESPs) and integrating data science into marketing workflows.
