Responsibilities

• Perform deep dive analysis to understand and optimize the key product KPIs

• Apply statistics, modelling, 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 or MTech degree with emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences)

• 2+ years of hands-on experience with design + implementation of Machine Learning models for solving 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