Senior Machine Learning Engineer

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 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 business needs, formulate and complete end-to-end analysis including data gathering, analysis, ongoing scaled deliverables and presentations.

Requirements

• 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.
• Bachelor’s degree in engineering (CS / IT) or equivalent degree from well-known Institutes / Universities.

Tech stack

Benefits