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About
Experience 8–12 years of experience in ecommerce and digital marketing data science/analytics with measurable business impact. Strong technical foundation in SQL, Python, and/or R; SAS experience a plus. Expertise in statistical modeling, machine learning, and experimental design. Hands-on experience with cloud platforms (AWS, GCP, Azure), big data tools (Spark, Databricks, Snowflake). Experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch. Proficiency with visualization tools (Tableau, Power BI, Looker). Skilled in web analytics platforms (Google Analytics, Omniture) and KPI translation. Familiarity with MLOps, CI/CD pipelines, Docker, Kubernetes, and Git. Exceptional ability to synthesize complex datasets and communicate insights clearly. Strong collaborator capable of thriving in dynamic environments.
Languages
- English
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