Machine Learning Manager

• 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 problemsolving 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.

• BA/BS or MS degree with an emphasis on coursework of a quantitative nature (e.g. Statistics Computer Science Engineering Mathematics Data Sciences)
• 10 years of overall experience and handson experience with the design implementation of Machine Learning models for solving business problems with statistical packages such as R MATLAB Python (NumPy Scikitlearn 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 interdisciplinary/crossfunctional 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

design review,adtech,machine learning,problem-solving,program evaluation,quantitative analysis,machine learning models,business recommendations,measurement,etl design,machine learning algorithms,collaboration,modeling,interdisciplinary/cross-functional field,optimization,code review,communication skills,strategic planning,business judgment,scikit-learn,software design,workflow design,architecture,metrics,trend identification,product recommendations,statistical packages (r, matlab, python),qualitative analysis,team management,advertising,statistics,python,a/b experiments,big data platforms,sql scripting,data analysis