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Data Science Jobs in Highlands Ranch, CO (NOW HIRING)

CACI International, Inc.

Senior Data Scientist

Denver, CO · On-site

$82K - $172K/yr

Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee ... Lead data science practices within a multi-team Agile delivery environment. Responsibilities:

ICR, Inc.

Data Scientist - Aurora, CO

Aurora, CO · On-site

$100K - $210K/yr

Proficient in Python, R, Matlab, Lua, or other data science-centric programming language. * Mathematical knowledge of optimization, multi-variate calculus, probability amp; statistics, linear algebra ...

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Showing results 21-40

All JobsData Science JobsData Science Jobs in Highlands Ranch, CO

Data Science information

See Highlands Ranch, CO salary details

$39.4K

$128.8K

$206.2K

How much do data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data science in Highlands Ranch, CO is $128,828.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $142,700.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Highlands Ranch, CO? The most popular types of Data Science jobs in Highlands Ranch, CO are:
What are popular job titles related to Data Science jobs in Highlands Ranch, CO? For Data Science jobs in Highlands Ranch, CO, the most frequently searched job titles are:
What cities near Highlands Ranch, CO are hiring for Data Science jobs? Cities near Highlands Ranch, CO with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Highlands Ranch, CO as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $128,828 per year, or $61.9 per hour.

Data Scientist

Department of Human Services

Denver, CO

$140K/yr

Other

Re-posted 12 days ago

Job description

This position is located in the Department of Health & Human Services (HHS), Centers for Medicare & Medicaid Services (CMS), Center for Program Integrity (CPI), Data Analytics & Systems Group, Division of Modeling & Analytics (DMA) .
As a Data Scientist, GS-1560-14, you will lead/run studies by gathering, examining, and understanding complex CMS data using different tools and advanced methods like machine learning and artificial intelligence to spot fraud and patterns in Medicare and Medicaid.Qualifications:ALL QUALIFICATION REQUIREMENTS MUST BE MET WITHIN 30 DAYS OF THE CLOSING DATE OF THIS ANNOUNCEMENT.
Your resume (limited to no more than 2 pages) must include detailed information as it relates to the responsibilities and specialized experience for this position. Evidence of copying and pasting directly from the vacancy announcement without clearly documenting supplemental information to describe your experience will result in an ineligible rating. This will prevent you from being considered further.
Applicants must demonstrate that they meet the Basic Requirements as noted below.
A. Possess a degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
B. Possess a combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in A above, plus additional education or appropriate experience.
Minimum Qualifications, GS-14:
In addition to the mandatory education described above under Basic Requirements applicants must meet the following: You must demonstrate in your resume at least one year (52 weeks) of qualifying specialized experience equivalent to the GS-13 grade level in the Federal government, obtained in either the private or public sector, to include: (1) Executing, leading, or controlling projects to develop statistical models for data analysis and/or devise innovative analytic solutions to program integrity related issues; (2) Designing, implementing, and/or evaluating machine learning and other artificial intelligence tools to extract insights from unstructured and multidimensional data; and (3) Presenting clear and concise findings to a wide variety of audiences using data visualization tools, programming languages, and/or software applications to support evidence-based recommendations.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills, and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
Time-in-Grade: To be eligible, current Federal employees must have served at least 52 weeks (one year) at the next lower grade level from the position/grade level(s) to which they are applying.Education:Education Requirement: In addition to meeting the qualification requirements, all candidates must have the following educational requirements:
A. Possess a degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
B. Possess a combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in A above, plus additional education or appropriate experience.
TRANSCRIPTS are required to verify satisfactory completion of the educational requirement listed above. Please see "Required Documents" section below for what documentation is required at the time of application.
Click the following link to view the occupational questionnaire: https://apply.usastaffing.gov/ViewQuestionnaire/13019781Employment Type: OTHER

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