Data Driven Machine Learning Engineer
2 weeks ago
We are seeking a talented Data Driven Machine Learning Engineer to join our team in Pune, India. As a key member of our Engineering team, you will be responsible for developing and implementing machine learning models to drive business growth and improve customer experiences.
About Us
PubMatic is an independent technology company maximizing customer value by delivering digital advertising's supply chain of the future. Our sell-side platform empowers the world's leading digital content creators across the open internet to control access to their inventory and increase monetization by enabling marketers to drive return on investment and reach addressable audiences across ad formats and devices.
Key Responsibilities
* Perform deep dive analysis to understand and optimize 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
Requirements
* BE/BTech /MCA in Computers or equivalent
* 3 to 6 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
* 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, 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
Benefits
Our benefits package includes stock options, paternity/maternity leave, healthcare insurance, broadband reimbursement, kitchen loaded with healthy snacks and drinks, catered lunches, and much more. We promote and celebrate diversity and inclusion, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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