Manager - Machine Learning

Requirements:

- Ability to collaborate with product and engineering leaders to deliver solutions with strategic planning across multiple functional groups

- Proven ability to inspire, mentor, and develop team members to deliver value consistently

- Good experience in software design and architecture.

- Good experience in building complex and scalable Machine Leaning solutions.

- Distinctive problem-solving skills and impeccable business judgment.

- Perform code and design reviews.

- Research, learn, design, and build scalable Machine Learning workflows.

- Demonstrate ownership and commitment.

- Demonstrate excellent verbal and written communication skills.

- 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

Qualifications:

- BA/BS or MS degree with emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences)

- 3+ 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

- Experience in Big Data (spark, AWS etc.) platforms and Advertising will be good to have

- Deep interest and aptitude in data, metrics, analysis, trends and applied knowledge of measurement, statistics and program evaluation

- Capable of translating analysis results into business recommendations