Work with stakeholders to scope and prioritize analysis and modeling projects that will drive impact and guide business and product decisions
Develop metrics that are informative, responsive, and relevant to stakeholder teams’ actions
Design and execute rigorous, actionable analyses and data modeling projects, using appropriate statistical methods to validate hypotheses and/or production actionable predictions and prescriptions
Communicate analysis and modeling results effectively to non-technical stakeholders and represent data perspective in strategy and architecture conversations
Work with stakeholder teams to identify key assumptions in business strategy and/or business opportunities addressable through data modeling and develop plans for using data to learn quickly and deliver results
Work with product and business teams to develop and execute measurement plans for new initiatives and/or model deployments, including selecting success metrics, reviewing instrumentation and measurement plans, and developing launch reporting

Requirements

MS in DS, Statistics, or related technical degree or equivalent work experience
6-10 years' experience as a Data Scientist or in a similar role
5+ years' hands-on SQL experience in a work environment
Experience with data modeling and/or casual inference, as appropriate for role
Experience with statistical programming in Python (numpy, pandas) or R
Experience with building reports and visualizations to represent data intuitively in Tableau or similar data visualization tools
Demonstrated ability to work cross-functionally and communicate with technical and non-technical teams
Demonstrated ability to work with stakeholders to translate business questions into rigorous and actionable data projects
Experience owning, prioritizing, and communicating an analysis and/or data modeling roadmap for a business area

Benefits

In addition to the above salary, this role may be eligible for a bonus and equity.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data modelingstatistical methodsSQLPythonRnumpypandasdata visualizationTableaucasual inference

Soft Skills

communicationcross-functional collaborationstakeholder engagementproblem-solvingprioritizationanalytical thinkingstrategic thinkingactionable insightsproject managementadaptability

Certifications

MS in Data ScienceMS in Statistics