Roles & Responsibilities:
Leverage data and rigorous analytical methods to drive strategic decision-making
Work with business stakeholders to frame the business problem and develop robust problem
Aggregate data from a variety of sources, identify new sources, and automate collection and
Design and execute experiments for optimization and to expedite learning
Develop and deploy predictive analytical models
Summarize findings and proposed solutions, communicate and socialize findings with multiple
Mentor a team of data scientists on data exploration, machine learning and problem solving
Work with a sense of ownership and urgency, advocate for experimentation based, agile culture
Background (Education / Experience):
Bachelors (Masters preferred) degree in Math’s, Stats, or Comp. Sc. Etc.
Strong knowledge of statistical techniques and expertise in use of statistical packages
1-3 years of relevant experience in data science, machine learning or applied statistics.
Working experience with relational databases (SQL) and large scale distributed systems,
expertise in Python and R
Experience with experiment design and A/B and multivariate tests
Strong creative thinking and problem solving skills.
Excellent oral and written communication and presentation skills
Knowledge of one or more business / functional areas