Data Scientist(no third party, only W2)
Role summary
We are seeking a Data Scientist with at least 2 years of experience in statistical data science techniques, feature engineering, and customer segmentation. The role requires proficiency in SQL, PySpark, and Python, along with experience in training, evaluating, and deploying machine learning models. Candidates should also have experience in productionizing and deploying ML workloads in AWS/Azure. Familiarity with Docker/Kubernetes is a plus. Experience with the Databricks platform, building ML models with large datasets, and integrating data science into marketing workflows using MarTech platforms is highly desirable.
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.