PubMatic is the automation solutions company for an open digital media industry. Featuring the leading omni-channel revenue automation platform for publishers and enterprise-grade programmatic tools for media buyers, PubMatic’s publisher-first approach enables advertisers to access premium inventory at scale. Processing nearly one trillion ad impressions per month, PubMatic has created a global infrastructure to activate meaningful connections between consumers, content and brands. Since 2006, PubMatic’s focus on data and technology innovation has fueled the growth of the programmatic industry as a whole. Headquartered in Redwood City, California, PubMatic operates eleven offices and six data centers worldwide.

We’re looking for a Senior Data Scientist to work on our business application products with a passion for internet technology. The ideal candidate will apply quantitative analysis, modeling, and data mining to help drive informed business and product decisions for PubMatic.

Responsibilities:

• Perform deep dive analysis to understand and optimize the key product KPIs.
• Apply statistics, modeling, and machine learning to improve the efficiency of systems and relevance algorithms across our business application products.
• Conduct data analysis to make product recommendations and design A/B experiments.
• Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
• Collaborate with cross-functional stakeholders to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations.

Qualifications:

• BA/BS or Master's degree with emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences).
• 3 years of experience working with statistical packages (e.g. R, SAS, Stata, MATLAB, etc).
• Experience with articulating product questions, pulling data from datasets (SQL) and using statistics to arrive at an answer.
• Experience in scripting with SQL, extracting large sets of data, and design of ETL flows.
• Work experience in an inter-disciplinary/cross-functional field.
• Deep interest and aptitude in data, metrics, analysis, trends and applied knowledge of measurement, statistics and program evaluation.
• Distinctive problem solving skills and impeccable business judgment.
• Capable of translating analysis results into business recommendations. 

All your information will be kept confidential according to EEO guidelines.