PubMatic
Technology
SeniorMachineLearningEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Machine Learning Engineer at PubMatic. Skills: Machine Learning, Data Science, Analytics Engineering. Perform deep dive analysis. Optimize key product KPIs”
What You'll Achieve.
Drive informed product decisions; Improve system efficiency; Improve relevance algorithms
Industry & Context.
Problem-solving skills; Quantitative analysis
What They're Looking For.
Must Have
Bachelor's degree in engineering, 5+ years experience, Scripting in SQL, Extracting large data sets, Designing ETL flows, Work experience in inter-disciplinary field
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Perform deep dive analysis
Optimize key product KPIs
Apply machine learning
Improve system efficiency
Improve relevance algorithms
Conduct data analysis
Make product recommendations
Design A/B experiments
Partner with Product teams
Partner with Engineering teams
Identify opportunities
Collaborate with stakeholders
Understand business needs
How You'll Work.
Team & Collaboration
Partner with Product; Partner with Engineering; Collaborate with stakeholders
Communication Scope
Presentations
Full 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 Informat
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