Lead Machine Learning Engineer
- Be a hands-on technical leader working closely with Product and Engineering teams.
- 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
- Quantitative BS or MS degree (e.g., Physics, Statistics, Mathematics, Economics, or Computer Science)
- 4+ 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 people 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, 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
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