Data Scientist Jobs in Denver

5 positions available in CO. Mountain tech hub with 210K+ aerospace, cleantech, and software jobs

What Does a Data Scientist Do?

Data scientists analyze complex datasets to extract insights and build predictive models that drive business decisions. They combine statistics, programming, and domain knowledge to solve business problems through data-driven approaches.

Data Scientist Salary in Denver

The median salary for a Data Scientist in Denver is $114,501 per year. The range is $87K - $151K (P10: $64,670, P90: $195,644). (BLS OEWS 2025) Typical US salary range: $100K - $170K. In Europe: €70K - €110K. Cost of living in Denver is high compared to other cities.

Most In-Demand Skills

Python/R Machine Learning Statistical Analysis SQL Data Visualization Model Evaluation

The Denver Job Market

Mountain tech hub with 210K+ aerospace, cleantech, and software jobs. Denver's elevation and outdoor culture attract tech talent seeking altitude and work-life balance with growing startup ecosystem.

Top industries: Aerospace, Cleantech & Energy, Software, Outdoor Recreation Tech.

RTD light rail expanding; tech companies emphasize outdoor culture with flexible remote arrangements.

Career Path & 2026 Trends

Data scientists advance to senior data scientist, ML engineer, or analytics director roles, with leadership paths typically requiring 6-8 years of experience. Data science roles are evolving in 2026 toward specialization in generative AI, LLM applications, and causal inference.

Interview Tip

Walk through a complete project lifecycle from problem definition to model deployment—interviewers want to see you understand business impact, not just technical accuracy.

How to Find a Data Scientist Job in Denver?

jobko.ai aggregates listings from 40+ sources (Indeed, LinkedIn, Glassdoor, and more) and uses AI to analyze each posting against your profile. With 5 current Data Scientist listings in Denver, you get honest match scores, red flag detection, and personalized CV advice — all for free.

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