3 months ago
Pune, IndiaSenior
Responsibilities
- Analyze and optimize key product KPIs through deep-dive data analysis.
- Apply statistics, modeling, and machine learning to improve system efficiency and relevance algorithms.
- Conduct data analysis, design A/B experiments, and make product recommendations.
- Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
- Gather data, perform end-to-end analysis, create ongoing scaled deliverables, and present findings to cross-functional stakeholders.
- Translate analytical results into business recommendations.
Requirements
- Five-plus years of hands-on experience designing machine learning models for business problems.
- Experience with R, MATLAB, Python, NumPy, Scikit-learn, Pandas, or MLlib for statistical and machine learning work.
- Experience articulating product questions and using statistics to answer them.
- Experience scripting in SQL, extracting large datasets, and designing ETL flows.
- Experience working in an interdisciplinary or cross-functional field.
- Applied knowledge of measurement, statistics, program evaluation, data, metrics, analysis, and trends.
- Strong problem-solving skills, business judgment, and ability to translate analysis into recommendations.
- Bachelor’s degree in engineering, such as Computer Science or Information Technology, or an equivalent degree.
Benefits
- Hybrid schedule with three days in the office and two days working remotely.
- Paternity and maternity leave.
- Healthcare insurance.
- Broadband reimbursement.
- Office kitchen with healthy snacks and drinks and catered lunches.
Categories
About PubMatic
PubMatic builds a sell-side programmatic advertising platform that helps digital publishers and commerce media networks monetize display, mobile, video, and in‑app inventory by connecting them with DSPs and buyers. Its business model centers on fees from real-time ad auctions and related services, including RTB, yield optimization, and AI-driven decisioning. Founded in 2006, the company is headquartered in Redwood City, California, and is listed on NASDAQ under the ticker PUBM.