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Remote Data Scientist Jobs in Highlands Ranch, CO

Product Data Scientist

Denver, CO ยท On-site +1

$100K - $140K/yr

Product Data Scientist Department: Data Engineering Employment Type: Permanent - Full Time Location ... Remote USA - In Tandem Compensation: $100,000 - $140,000 / year Description At In Tandem, we build ...

Data Analyst (Remote)

Denver, CO ยท Remote

$80K - $100K/yr

We do this in three ways data analytics, data diligence, and fractional data science. Our clients ... Salary: $80k100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities:

Senior Data Analyst (Remote)

Denver, CO ยท Remote

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics we help companies accelerate the time to ... We do this in three ways data analytics, data diligence, and fractional data science. Our clients ...

Jr. Data Scientist, to 120k - FS Poly

Aurora, CO ยท On-site +1

$50K - $120K/yr

... remote work options. Join a close-knit team that invests in your career and well-being. The Role ... Data Scientist to provide technical expertise in sustaining mission-critical software and systems.

Data Analyst

Denver, CO ยท On-site +1

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

Data Analyst

Denver, CO ยท Remote

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

Senior Data Analyst

Denver, CO ยท Remote

$90K - $120K/yr

Salary: $90k-120K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will be ...

Senior Data Analyst

Denver, CO ยท On-site +1

$90K - $120K/yr

Salary: $90k-120K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will be ...

Bachelor's degree in Computer Science, Data Science, Data Analytics, Statistics, Mathematics ... Remote work model #LI-REMOTE * Competitive benefits package and competitive total compensation * An ...

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Showing results 1-20

Remote Data Scientist information

See Highlands Ranch, CO salary details

$39.4K

$128.8K

$206.2K

How much do remote data scientist jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote data scientist 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.

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

What does a remote data scientist do?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

What is a remote data scientist?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

What is the difference between Remote Data Scientist vs Remote Data Analyst?

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

What are the most commonly searched types of Data Scientist jobs in Highlands Ranch, CO? The most popular types of Data Scientist jobs in Highlands Ranch, CO are:
What are popular job titles related to Remote Data Scientist jobs in Highlands Ranch, CO? For Remote Data Scientist jobs in Highlands Ranch, CO, the most frequently searched job titles are:
What job categories do people searching Remote Data Scientist jobs in Highlands Ranch, CO look for? The top searched job categories for Remote Data Scientist jobs in Highlands Ranch, CO are:
What cities near Highlands Ranch, CO are hiring for Remote Data Scientist jobs? Cities near Highlands Ranch, CO with the most Remote Data Scientist job openings:
Infographic showing various Remote Data Scientist job openings in Highlands Ranch, CO as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 100% Remote job distribution, with an average salary of $128,828 per year, or $61.9 per hour.

$140K - $187K/yr

Full-time

Re-posted 7 days ago


Job description

Summary
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.
Learn more about this agency
Duties
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  • Lead and conduct studies by collecting, analyzing, and interpreting multi-faceted data using advanced statistical techniques such as machine learning, artificial intelligence, and modeling to detect fraud and trends in Medicare and Medicaid.
  • Research and develop statistical models for data analysis, advancing analytic methodologies and collaborating with CPI customers and stakeholders to devise innovative analytic solutions.
  • Serve as a technical resource, consultant/liaison to internal Agency, Federal, or contractor staff on program integrity data analysis and coordinate various Program Integrity (PI) projects across different groups or components within CMS as needed.
  • Research emergent data analytics, knowledge management trends, and technology developments from government and industry to develop recommendations for improvements to CPI's programs, tools, techniques, and approaches.

Requirements
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Conditions of employment
  • You must be a U.S. Citizen or National to apply for this position.
  • You will be subject to a background and suitability investigation.
  • Time-in-Grade restrictions apply.
  • Selective Service: Males born after December 31, 1959, must be registered or exempt from Selective Service - http://www.sss.gov
  • One-year probationary period may be required.
  • If you are selected for this position, the documentation that you present for purposes of completing the Department of Homeland Security (DHS) Form I-9 will be verified through the DHS "E-Verify" System.
  • All Federal employees are required to have Federal salary payments made by direct deposit to a financial institution of their choice.

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/13019781
Additional information
This serves to amend the closing date of the position to read: Closing on Wednesday, August 12, 2026
SALARY RANGES:
Denver, CO:
$140,239 - $182,316
Woodlawn, MD: $143,913 - $187,093
Bargaining Unit Position: Yes - American Federation of Government Employees, Local 1923
Tour of Duty: Flexible
Recruitment Incentive: Not Authorized
Relocation Incentive: Not Authorized
Financial Disclosure: Not Required
Workplace Flexibility at CMS: This position has a regular and recurring reporting requirement to the CMS office listed in this announcement. CMS offers flexible working arrangements and allows employees the opportunity to participate in alternative work schedules at the manager's discretion.
The Interagency Career Transition Assistance Plan (ICTAP) and Career Transition Assistance Plan (CTAP) provide eligible displaced federal employees with selection priority over other candidates for competitive service vacancies. To be qualified, you must submit the required documentation and be rated well-qualified for this vacancy. Click here for a detailed description of the required supporting documents. A well-qualified applicant is one whose knowledge, skills, and abilities clearly exceed the minimum qualification requirements of the position. Additional information about ICTAP and CTAP eligibility is on OPM's Career Transition Resources website at www.opm.gov/rif/employee_guides/career_transition.asp.
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Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.
Benefits
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A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.
Review our benefits
Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.