Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical tec
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec
OR equivalent experience.
1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience.
Experience that spans the full software/service delivery lifecycle – SW engineering, Program Management and Data Science/Engineering.
Preferred Qualifications
5+ years of experience shipping services
Candidate would be hypothesis driven, with a passion for data and a bias for action.
Candidates should be experienced in framing and participating in data-driven business decisions, including measuring, and evaluating outcomes.
Candidates must be able to communicate complex ideas and concepts to leadership and deliver results.
Candidates must be comfortable in manipulating and analyzing complex, high dimensional data from varying sources to solve difficult problems.
The Team player with proven ability to build trusted relationships.
Demonstrated ability to work efficiently, prioritize workflow, and meet demanding deadlines.
Responsibilities
Works with executives, product engineering leaders, researchers and other data scientists to formulate data-driven answers to hard business and decision-making problems, applying a wide variety of data and techniques to help drive the engineering investments at a strategic and tactical level.
Identifies data sources, integrates multiple sources or types of data, and develops expertise with multiple data sources to tell a story and to compensate for missing data, identify new patterns and business opportunities, and communicate visually and verbally with clear and compelling data-driven stories.
Interprets results and develops insights into formulated problems within the business/customer context and provides guidance on risks and limitations.
Validates, monitors, and drives continuous improvement to methods, and proposes enhancements to data sources that improve usability and results