Job description

About the Role We are hiring a results-oriented Senior Machine Learning Engineer to join our growing team in Pune on a hybrid schedule. 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. What You'll Do 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. We'd Love for You to Have Five plus 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 designing 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. Qualifications: Should have a bachelor’s degree in engineering (CS / IT) or equivalent degree from well-known Institutes / Universities. Additional Information: 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”) that is intended to maximize collaboration, innovation, and productivity among teams and across functions. Benefits: Our benefits package includes the best of what leading organizations provide, such as paternity/maternity leave, healthcare insurance, broadband reimbursement. As well, when we’re back in the office, we all benefit from a kitchen loaded with healthy snacks and drinks and catered lunches and much more!. Diversity and Inclusion : PubMatic is proud to be an equal opportunity employer; we don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status About PubMatic PubMatic is one of the world’s leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes. Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand.

Requirements

Must-haves

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.
We'd Love for You to Have
Five plus 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 designing 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.
Should have a bachelor’s degree in engineering (CS / IT) or equivalent degree from well-known Institutes / Universities.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningpythonsql

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Vision