Data Scientist Salary in Colorado (2026)

Careerclev's modeled 2026 benchmark places Data Scientist pay in Colorado at about $107,941 per year. On the latest official statewide BLS baseline, the range runs from about $67,330.0 at the lower end to $172,010 for top earners.

This guide covers the full statewide Data Scientist salary picture first, then compares metro markets inside Colorado where BLS data is available — making it useful for candidates who want a broader view beyond any single city.

The statewide median for Data Scientist roles in Colorado is $107,941, compared with a U.S. median of $112,590. That gap of -4% helps readers see whether this state sits in a premium salary market, a near-national market, or a lower-cost salary market relative to the rest of the country.

Statewide experience bands help show how much of the salary story comes from growing responsibility, not location alone. Even inside one state, the distance between entry-level and senior pay can be wide enough to change how attractive the long-term path looks.

City-level differences inside Colorado can be large. Stronger salary metro areas often combine dense employers, specialized industries, and stronger competition for experienced Data Scientist talent.

Industry mix is one of the strongest drivers behind pay differences inside a state. Stronger salary industry rows usually reflect employers that place the role closer to revenue, specialized operations, or hard-to-source talent.

Skill-based salary lift is strongest when a specialization shows both employer demand and practical scarcity. In this state, the signals below show which skill clusters are most associated with stronger pay positioning.

Entry-level pay in Colorado for data scientist usually starts near the lower statewide wage band, then rises as candidates move from supervised work into independent delivery. The first major salary jump often comes from handling broader scope, changing employers, or moving into stronger local metro markets.

The state salary dataset here does not label every wage row by public or private ownership, so this section models the comparison from statewide salary levels and the industry spread visible in the data. It is best read as pay guidance, not as a direct government-vs-private wage census.

Remote and hybrid work can change the salary story for a state page because the employer market may be broader than the worker’s home location. Where direct remote comp data is available, it is shown below; otherwise the fallback rows use the local salary benchmark as the base case.

The best remote comparison is total pay after commute, housing pressure, and access to stronger employer markets. A lower-cost metro paired with national hiring access can outperform a higher nominal local salary.

A state salary should be read alongside rent, taxes, commuting, and the mix of high-cost and lower-cost metro areas inside the state. The same Data Scientist salary can feel very different across Colorado.

Statewide averages flatten the most important local differences. This ranking brings those differences back into view by showing which cities and metros inside Colorado create the strongest salary benchmarks for this role.

Career growth inside Colorado is best read through two lenses: the local salary ladder and the broader national demand outlook. The salary ladder shows how compensation expands with responsibility, while the outlook data shows whether employers are likely to keep competing for talent.

State salary is shaped by more than the job title. Metro concentration, local industry strength, training expectations, and the size of the in-state employer market all influence where pay ultimately settles.

Related roles are useful when you want to compare salary upside without leaving the same general skill family. Sometimes the strongest move is not a full career switch, but a nearby role with a better market position inside the same state.

Salary growth tends to come fastest when candidates combine stronger proof of impact, better-paying market selection, and negotiation with current state and U.S. benchmarks in hand.

These questions usually come up after readers compare the statewide benchmark with city differences, experience bands, and demand signals. They are here to clear up the parts of the salary picture that still feel uncertain after the main sections.

These FAQs focus on how readers searching for "Data Scientist" compare statewide salary levels, metro differences, and career progression across the state.