Principal Machine Learning Engineer

Principal Machine Learning Engineer

Reporting to the Director of Machine Learning, you will partner with Product and Engineering teams to both solve problems and identify new opportunities for the business.

The ideal candidate will apply quantitative analysis, modeling, and data mining to help drive informed product decisions for PubMatic + get things done.

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

• BE/BTech /MCA in Computers or equivalent
• 7to 12 years of hands-on experience designing Machine Learning models to solve business problems with statistical packages, such as R, MATLAB, Python (NumPy, Scikit-learn + Pandas) or MLlib
• Proven ability to inspire, mentor, and develop team members to deliver value consistently
• Experience with articulating product questions and using statistics to arrive at an answer
• Experience with scripting in SQL - extracting large data sets and design of ETL flows
• Work experience in an inter-disciplinary / cross-functional field
• Deep interest and aptitude in data, metrics, analysis, and 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