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Remote Data Scientist Jobs in Colorado (NOW HIRING)

Data Scientist - TrainingPeaks

Louisville, CO · On-site +1

$94K - $158K/yr

General Summary Join TrainingPeaks as a Data Scientist and be at the forefront of revolutionizing endurance coaching. You'll harness 30 years of rich athlete and coach data to build next-generation ...

Product Data Scientist

Denver, CO · 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 ...

... 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 · 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 · 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 · 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 · 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 ...

This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR ... EDUCATION AND EXPERIENCE: 1. Bachelor's degree in computer science, data science, data engineering ...

Senior Data Platform Engineer

Littleton, CO · Remote

$130K - $170K/yr

This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR ... EDUCATION AND EXPERIENCE: 1. Bachelor's degree in computer science, data science, data engineering ...

Senior Scientist, Oceans Science

Boulder, CO · On-site +1

$94K - $129K/yr

Location Remote US Home, Austin, Boulder, Boston, New York, San Francisco, Washington DC. Duration ... Analyze, interpret, and communicate scientific data to state, federal, and international ...

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Remote Data Scientist information

See Colorado salary details

$39.4K

$129.1K

$206.6K

How much do remote data scientist jobs pay per year?

As of Jul 31, 2026, the average yearly pay for remote data scientist in Colorado is $129,062.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $143,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications 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.

Can a data scientist work remotely?

Yes, many data scientists work remotely, especially as the role often involves analyzing data, programming, and using tools like Python, R, and cloud platforms that can be accessed from anywhere. Remote work options depend on the employer's policies and the specific job requirements, but it is increasingly common in the data science field.

What Is the Job of a Remote Data Scientist?

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.

How can I make 2000 a week working from home?

A remote data scientist can earn $2,000 or more per week by working on high-demand projects, consulting, or freelance assignments that pay premium rates. Building a strong portfolio, developing skills in machine learning and data analysis tools, and establishing a reliable client base are essential for achieving this income level remotely.

What are remote data scientists?

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.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

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.

How can I make $100,000 a year working from home?

A remote data scientist can earn $100,000 or more annually by gaining advanced skills in machine learning, data analysis, and programming languages like Python or R, along with relevant certifications. Building a strong portfolio, gaining experience, and working for companies that offer remote roles with competitive salaries are key strategies to reach this income level.
What are the most commonly searched types of Data Scientist jobs in Colorado? The most popular types of Data Scientist jobs in Colorado are:
What are popular job titles related to Remote Data Scientist jobs in Colorado? For Remote Data Scientist jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Remote Data Scientist jobs? Cities in Colorado with the most Remote Data Scientist job openings:
Infographic showing various Remote Data Scientist job openings in Colorado as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $129,062 per year, or $62 per hour.

$147K - $197K/yr

Full-time

Retirement

Posted 22 days ago


Job description

Summary
This position is located in the National Oceanic and Atmospheric Administration (NOAA), National Environmental Satellite, Data, and Information Service (NESDIS), National Centers for Environmental Information (NCEI), Data Stewardship Division (DSD), with 1 vacancy in Silver Spring, MD; Lanham, MD; Riverdale, MD; Suitland, MD; Boulder, CO; Fort Collins, CO; College Park, MD; Greenbelt, MD; Stennis Space Center, MS; Asheville, NC; or Madison, WI.
Learn more about this agency
Duties
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As a Data Scientist, you will perform the following duties:
  • Serve as a Senior Data Scientist in providing strategic leadership for aligning data governance and advancing modern data architecture with Artificial Intelligence/Machine Learning (AI/ML). Set scalable Artificial Intelligence governance frameworks within the division's operational ecosystem and stipulate the protocols necessary for the successful integration of AI/ML tools into data stewardship workflows.
  • Provide technical authority overseeing the evolution of data frameworks synthesizing information through data-driven decision making. Analyze and publish program results influencing long-term preservation strategies.
  • Identify methods, processes, algorithms, tools, and systems to extract and interpret findings from varied structured and unstructured data sets related to the data science lifecycle. Model, interpret, and report quantitative information, trends, relationships, and correlations among and within data sets.
  • Streamline complex workflows by applying advanced methodologies to automate and reduce manual administrative burdens shifting the focus of data stewardship staff toward core mission delivery.

Throughout the recruitment and hiring process we will be communicating with you via email; therefore, it is imperative that the email address you provide when applying for this vacancy remains active. Should your email address change, please notify the point of contact identified in the vacancy announcement as soon as possible so that we can update our system.
Requirements
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Conditions of employment
This position will be filled under the DOC Alternative Personnel System (CAPS). Under CAPS, positions are classified by career, pay plan, and pay band.
The ZP-5 is equivalent to the GS-15.
Key Requirements:
  • Applicants must be U.S. Citizens.
  • Suitable for Federal employment, as determined by background investigation.
  • More requirements are listed under Qualifications and Additional Information.
  • Must be registered for Selective Service, if applicable (www.sss.gov)
  • Qualification requirements must be met by the closing date of the announcement.

Additional Considerations:
  • One year probationary period may be required.
  • Payment of relocation expenses (PCS) is not authorized.
  • Payment of relocation incentives OR recruitment incentives may be authorized. Note: Relocation incentives are for current federal employees only.
  • This position requires Moderate Risk Security Clearance.
  • Background investigation will be required. Continued employment is subject to applicant's successful completion of security investigation and favorable adjudication. Failure to successfully meet these requirements will be grounds for termination.

Any selections made under this notice will be processed as new appointments to the civil service. Therefore, Current Federal employees would be given new appointments to the civil service and may have to serve a new probationary period under CFR 315.802 (b).
NOTE: A one year probationary period will be required under the Direct Hire Authority unless you are a current Department of Commerce (including NOAA) employee; and are in the same line of work; have previously completed a probationary period; and with no more than a 30 day break in service.
As a condition of employment for accepting this position, for those required to serve a 1-year probationary period, we will evaluate your fitness and whether your continued employment advances the public interest. In determining if your employment advances the public interest, we may consider:
  • Your performance and conduct;
  • Needs and interests of the agency;
  • Whether your continued employment would advance organizational goals of the agency or the Government; and
  • Whether your continued employment would advance the efficiency of then Federal service.

Upon completion of your probationary period, your employment will be terminated unless you receive certification, in writing, that your continued employment advances the public interest.
Qualifications
Qualification requirements in the vacancy announcements are based on the U.S. Office of Personnel Management (OPM) Qualification Standards Handbook, which contains federal qualification standards. This handbook is available on the Office of Personnel Management's website located at: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/
BASIC REQUIREMENTS: This position requires applicants to meet a Basic Education Requirement in addition to at least one full year (52 weeks) of specialized experience in order to be found minimally qualified. Transcripts must be submitted with your application package. You MUST meet one of the following basic education requirements:
To qualify for the 1560 series:
EDUCATION:
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. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
-AND-
SPECIALIZED EXPERIENCE: Applicants must possess one year of specialized experience equivalent in difficulty and responsibility to the next lower grade level in the Federal Service. Specialized experience is experience that has equipped the applicant with the particular competencies/knowledge, skills and abilities to successfully perform the duties of the position. This experience need not have been in the federal government.
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.
To qualify at the ZP-5 or GS-15 level:
SPECIALIZED EXPERIENCE: In addition to meeting the Basic Requirements above, applicants must also possess one full year (52 weeks) of specialized experience equivalent to the ZP-4 or GS-14 in the Federal service. Specialized experience MUST include all of the following:
  • Designing or implementing artificial intelligence and machine learning models to analyze or interpret environmental data;
  • Developing automated workflows utilizing statistical and mathematical techniques; and
  • Providing guidance or consultations to scientific professionals in areas such as environmental data acquisition, processing, data basing, or information generation and visualization.

Education
Substitution of education for specialized experience is not applicable to this vacancy.
College Transcript:If you are qualifying based on education, submit a copy of your college transcript that lists college courses detailing each course by the number and department (i.e., Bio 101, Math 210, etc.), name of accredited institution, course title, number of credit hours and grade earned. You must submit evidence that any education completed in a foreign institution is equivalent to U.S. education standards with your resume. You may submit an unofficial copy of the transcript at the initial phase of the application process. If course content cannot be easily identified from the title of the course as listed on your transcript, you must submit an official course description from the college/university that reflects the content at the time the course was taken.
Note: Your college transcript is used to verify successful completion of degree, or college course work. An official college transcript will be required before you can report to duty.
Education completed in colleges or universities outside the United States may be used to meet the above requirements. You must provide acceptable documentation that the foreign education is comparable to that received in an accredited educational institution in the United States. For more information on how foreign education is evaluated, visit: OPM Foreign Education Evaluation.
Additional information
During the application process you will have an option to opt-in to make your resume available to hiring managers in the agency who have similar positions. Opting in does not impact your application for this announcement, nor does it guarantee further consideration for additional positions.
ICTAP and CTAP Candidates: Eligible for selection priority if it is determined that the applicant is well qualified. Information about ICTAP eligibility is on OPM's Career Transition Resources website at: Employee Guide to Career Transition.
ICTAP applicants MUST submit the following documents:
  1. Copy of your RIF separation notice; notice of proposed removal for failure to relocate; notice of disability annuity termination; certification from your former agency that it cannot place you after your recovery from a compensable injury; or certification from the National Guard Bureau or Military Department that you are eligible for disability retirement;
  2. Copy of your SF-50 "Notification of Personnel Action" documenting your RIF separation, noting your positions, grade level, and duty location, and/or Agency certification of inability to place you through RPL, etc;
  3. Copy of your latest performance appraisal including your rating; and
  4. Any documentation from your agency that shows your current promotion potential.

CTAP applicants MUST submit the following documents:
  1. Copy of your specific RIF notice; notice of proposed removal for failure to relocate; a Certificate of Expected Separation (CES); or certification that you are in a surplus organization or occupation (this could be a position abolishment letter, a notice eligibility for discontinued service retirement, or similar notice).
  2. Copy of your SF-50 "Notification of Personnel Action", noting current position, grade level, and duty location;
  3. Copy of your latest performance appraisal including your rating; and
  4. Any documentation from your agency that shows your current promotion potential.

NOAA participates in e-Verify, an Internet-based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that enables participating employers to electronically verify the employment eligibility of their newly hired employees.
The Federal Government is an Equal Opportunity Employer. Candidates will not be hired based on their race, sex, color, religion, or national origin.
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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.
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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.