The company is looking to solve business problems and identify new opportunities through quantitative analysis, modeling, and data mining.
Requirements
- Experience designing Machine Learning models to solve business problems with statistical packages, such as R, MATLAB, Python (NumPy, Scikit-learn + Pandas) or MLlib
- Experience with scripting in SQL - extracting large data sets and design of ETL flows
- Applied knowledge of measurement, statistics and program evaluation
- Experience with articulating product questions and using statistics to arrive at an answer
- Experience working with data, metrics, analysis, trends
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
Other
- Proven ability to inspire, mentor, and develop people to deliver value consistently
- Distinctive problem-solving skills and impeccable business judgment
- Capable of translating analysis results into business recommendations
- Quantitative BS or MS degree (e.g., Physics, Statistics, Mathematics, Economics, or Computer Science)
- 4+ years of hands-on experience
- Return to Office: PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule (3 days “in office” and 2 days “working remotely”)
