Data Scientist
Data Scientists in these roles build predictive and classification models that directly drive business outcomes, from revenue optimization and customer health scoring to autonomous vehicle performance evaluation and capacity planning. They distinguish themselves by owning problems end-to-end—from translating ambiguous stakeholder questions into measurable problems, through model development and validation, to production deployment and ongoing monitoring. These roles typically sit within cross-functional product, operations, or analytics teams at scale-up and enterprise AI companies, partnering closely with engineering, product, and business leaders to ensure models deliver sustained impact and reliability in real-world systems.
Measured across 75 of 76 open postings.
This role is advertised at 3 levels, so a single figure for the role would describe none of them. Experience and pay are the midpoints for each level on its own.
| Level | Share | Median years | Median pay |
|---|---|---|---|
| Mid | 41%(31) | 5 | $308k |
| Senior | 31%(23) | 5 | $291k |
| Staff / Principal | 20%(15) | 6.5 | — |
A dash means too few postings stated it to report a midpoint. Most companies do not publish a salary band, so pay is indicative rather than a market rate. 3 levels with fewer than 10 open postings are not shown.
“Experience using SQL and a scripting language such as Python or R to clean, explore, and analyze data”
“Write clear, maintainable Python/SQL code and Jupyter notebooks that document analysis methodology”
“own Ramp AI Index, add new metrics tracking token spend and ROI of AI, extend our research internationally”
“We're an AI-first data team. We believe the data function should be redesigned around what AI now makes possible”
Requirements are a share of every open posting, so a role missing from this list is one where almost nobody asks. Work mode is different: many postings never say, so that figure counts only the ones that do. A posting stops being advertised when it is filled, cancelled or reorganised, so read the last figure as how long these stay on the market, not as time to hire.
Skills
What companies are looking for in this role.
Predictive modeling and forecasting
Business insight analysis
Experimentation and causal inference
Product analytics & experimentation
Dashboarding and self-service analytics
SQL query development
Statistical modeling and uncertainty
Data pipeline engineering
Analytics data modeling
ML systems development
Metrics and KPI definition
Data quality and governance
Marketing and GTM measurement and attribution
Research synthesis and insight
AI evaluation design
AI workflow automation
Hands-on AI tool fluency
Executive data storytelling
Customer feedback synthesis
Technology
The tools and technologies that define this role.
Open Jobs
76 open Data Scientist jobs across 30 companies.
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