Lead the measurement and analytics of AI initiatives across Docusign’s GTM organization, building frameworks, experiments, and ROI models to guide investment and scaling decisions.
Locations (9)
San Francisco, California, United States
Illinois, United States
Colorado, United States
Massachusetts, United States
Minnesota, United States
Washington, United States
Show all 9 locations
Maryland, United States
New Jersey, United States
New York, United States
Compensation
Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience. Based on applicable legislation, the below details pay ranges in the following locations: California: $202,800.00 - $327,625.00 base salary Illinois, Colorado, Massachusetts and Minnesota: $193,100.00 - $272,750.00 base salary Washington, Maryland, New Jersey and New York (including NYC metro area): $193,100.00 - $286,500.00 base salary
Responsibilities
Build core data and analytical products to serve GTM motions in partnership with internal IT teams
Own the measurement strategy for GTM AI initiatives: define success, establish baselines, and set KPI hierarchy
Design rigorous evaluations for AI deployments, including A/B tests, staged rollouts, and quasi-experimental methods
Quantify incremental impact and ROI of individual AI tools and overall portfolio
Build and maintain an impact scorecard for GTM leadership
Requirements
Master's degree
Nice to have: Advanced degree (MS or PhD) in Statistics, Economics, Data Science, Operations Research
Nice to have: Experience measuring impact of AI, automation, or sales productivity tools in a GTM organization
Nice to have: Hands-on experience with uplift modeling, heterogeneous treatment effects, or causal ML
Nice to have: Experience evaluating LLM-based systems
Lead the measurement and analytics of AI initiatives across Docusign’s go‑to‑market organization, building frameworks, experiments, and impact scorecards to inform strategy and investment decisions.
Develop data-driven business insights and work with cross-functional stakeholders to identify opportunities and recommend prioritization of product, growth and optimization initiatives
Compensation
For San Francisco, CA-based roles: The base salary range for this role is USD $161,000 per year - USD $179,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp.
Responsibilities
Develop data-driven business insights and work with cross-functional stakeholders to identify opportunities and recommend prioritization of product, growth and optimization initiatives
Design and analyze experiments, communicating results that draw detailed and actionable conclusions
Analyze and contribute to development of optimization algos and ML models for use in mobility matching
Collaborate with cross-functional teams such as product, engineering and operations to drive system development end-to-end from conceptualization to final product
Requirements
Ph.D. in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research or other quantitative fields
M.S. in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research or other quantitative fields
Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research or other quantitative fields
Nice to have: self-guided work
Experienced Data Scientist for Agentic Applications
Lead data science initiatives for Net Revenue Management platform, building and operationalizing statistical, econometric, and machine learning models to drive commercial decisions.
Locations (3)
Aarhus, Central Jutland, Denmark
Gdańsk, Pomerania, Poland
Viby J, Central Jutland, Denmark
Compensation
competitive salary and benefits
Responsibilities
Build and operationalize forecasting, pricing, and promotional effectiveness models
Design and develop statistical, econometric, and machine learning models
Apply ML models to evaluate commercial initiatives
Partner with engineers to establish scalable MLOps and model monitoring
Translate business opportunities into scalable analytical solutions
California: $202,800.00 - $327,625.00 base salary
Illinois, Colorado, Massachusetts and Minnesota: $193,100.00 - $272,750.00 base salary
Washington, Maryland, New Jersey and New York (including NYC metro area): $193,100.00 - $286,500.00 base salary
Responsibilities
Build core data and analytical products to serve GTM motions
Own the measurement strategy for GTM AI initiatives
Design rigorous evaluations for AI deployments
Quantify incremental impact and ROI of AI tools
Build and maintain an impact scorecard for GTM leadership
Requirements
Master’s degree in Statistics, Economics, Data Science, Operations Research or related field
Nice to have: Advanced degree (MS or PhD)
Nice to have: Experience measuring impact of AI or sales productivity tools
Nice to have: Hands‑on experience with uplift modeling or causal ML
Nice to have: Experience evaluating LLM-based systems
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