Data Science & Analytics
Saxon Global•New York City, NY
About The Position
This role focuses on leveraging data science and analytics within the ecommerce and digital marketing domains to drive measurable business impact. The ideal candidate will possess a strong technical foundation and expertise in statistical modeling, machine learning, and experimental design.
Requirements
- 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.
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What This Job Offers
Career Level
Senior
Education Level
No Education Listed
