Senior Data Scientist Microsoft
Mountain View, CA12 days ago
- $119,800–$234,700 Per Year
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Skills
- A/B Testingunmatched
- Adtechunmatched
- Amazon Web Services (AWS)unmatched
- Business Intelligence Softwareunmatched
- Campaignsunmatched
- Cloud Computingunmatched
- Computer Scienceunmatched
- Data Analysisunmatched
- Data Managementunmatched
- Data Processingunmatched
- Data Scienceunmatched
- Data Visualization Toolsunmatched
- Data Warehousingunmatched
- GCP (Good Clinical Practices)unmatched
- Lookerunmatched
- Market Analysisunmatched
- Marketingunmatched
- Mathematicsunmatched
- Performance Analysisunmatched
- Performance Tuning/Optimizationunmatched
- Power BIunmatched
- Python Programming/Scripting Languageunmatched
- Query Analysisunmatched
- Relational Databases (RDBMS)unmatched
- SQL (Structured Query Language)unmatched
- Statistical Modelingunmatched
- Statisticsunmatched
- Tableauunmatched
- United States Department of Energy (DOE)unmatched
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
Qualifications
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
- 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.)
- AWS or GCP experience
- Large-scale data processing pipelines
- Relational databases and data warehouses
- Spark performance optimization
- 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
Numbers & Facts
| Location | San Francisco, CA |
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