Strong probability, statistics, and hypothesis testing knowledge with experience in observational analytics and experimentation, including A/B testing and marketing measurement frameworks
Proficiency in Python (Pandas, NumPy, scikit-learn), SQL (advanced querying), PySpark / Spark SQL, and data visualization/BI tools (Tableau, Looker, Power BI)
Experience with cloud data platforms (AWS or GCP), large-scale data processing pipelines, relational databases and data warehouses, and Spark performance optimization
Educational qualifications: Bachelor's degree with 10–15+ years of experience, or Master's with 3+ years, or PhD with 0–2 years, in Data Science, Statistics, Mathematics, Computer Science, or related field
Requirements:
Lead measurement and analytics initiatives for a Market Media Analytics Product Platform used by large enterprise clients
Design scalable analytics frameworks and build experimentation strategies
Deliver actionable insights to optimize marketing performance
Collaborate with cross-functional teams to translate business questions into analytical solutions and provide data-driven recommendations
Job description
Sr Data Scientist Location: San Francisco ( Remote) (PST Working Hours) Rate: DOE Type: Contract
About the Role
We are seeking a Senior Data Scientist to lead measurement and analytics initiatives for a cutting-edge Market & Media Analytics Product Platform used by large enterprise clients. This role focuses on designing scalable analytics frameworks, building experimentation strategies, and delivering actionable insights to optimize marketing performance.
The ideal candidate will have strong expertise in statistical modeling, experimentation, large-scale data processing, and cloud-based analytics.
Required Skills & Experience
Core Data Science
Strong probability, statistics, and hypothesis testing knowledge
Experience with observational analytics and experimentation
Expertise in A/B testing and marketing measurement frameworks
Programming & Tools
Python (Pandas, NumPy, scikit-learn)
SQL (advanced querying and data analysis)
PySpark / Spark SQL (large-scale processing)
Data visualization / BI tools (Tableau, Looker, Power BI, etc.)
Cloud & Data Platforms
AWS or GCP experience
Large-scale data processing pipelines
Relational databases and data warehouses
Spark performance optimization
Marketing Analytics (Preferred)
MarTech / AdTech analytics
Campaign measurement
Audience analytics
Media performance analytics
Qualifications
Bachelor's with 10–15+ years of experience OR
Master's with 3+ years of experience OR
PhD with 0–2 years of experience
Degree in Data Science, Statistics, Mathematics, Computer Science, or related field
