Data Science Manager
As a Data Science leader on this team, you and your team will be working with large retail and advertising datasets to unearth unique insights to back strategic recommendations for our customers. You will lead the development of statistical and machine learning models, working closely with software development engineers to implement these models at scale. You will share in the ownership of the technical vision and direction for advanced analytics and insight products. We are looking for a manager who can thrive in a startup environment, thinks big, can move fast, and wants to change the way customers insights to drive impact. If you excel at proposing and developing unique analytical insights and are passionate about creating the future, come join us as we work hard, have fun, and make history.
As the Data Science Manager on this team, you will:
· Lead of team of scientists, business intelligence engineers, etc., on solving science problems with a high degree of complexity and ambiguity.
·Develop science roadmaps, run annual planning, and foster cross-team collaboration to execute complex projects.
· Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact to senior management.
· Hire and develop top talent, provide technical and career development guidance to scientists and engineers in the organization.· Analyze historical data to identify trends and support optimal decision making.
· Apply statistical and machine learning knowledge to specific business problems and data.
· Formalize assumptions about how our systems should work, create statistical definitions of outliers, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed.
· Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.
· Build decision-making models and propose effective solutions for the business problems you define.
· Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.
· PhD or Master’s Degree in Statistics, Applied Mathematics, Physics, Science, Engineering, Economics, or other quantitative fields.· 3+ years of direct people management; managing scientists.
· 8+ years of experience as a data scientist, economist, applied scientist, research scientist or equivalent data analytics role
· Expertise in as many of the following: hypothesis testing, estimation, experimental design, hypothesis and A/B testing, causal inferencing, multi-variate testing & design, descriptive analytics, and regression analysis.
· Experience with data scripting languages (e.g. SQL, Python, R) or statistical/mathematical software (e.g. R, SAS, or Matlab).
· Familiarity with probability, probability distributions, statistics and causal inference.· Good understanding of apply machine learning to solve real-world problems.
· Broad knowledge of ML methods, statistical analysis, and problem-solving skills.
· Expert level knowledge in statistics; sophisticated user of statistical tools.
· Experience processing, filtering, and presenting large quantities (hundreds of millions/billions of rows) of data
· Combination of deep technical skills and business savvy enough to interface with all levels and disciplines within our customer’s organization.
· Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.
· Excellent verbal and written communication skills with the ability to advocate technical solutions for science, engineering, and business audiences.
· Ability to develop experimental and analytical plans for data modeling, use effective baselines, and accurately determine cause-and-effect relations.

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