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Remote Data Scientist Jobs in Colorado (NOW HIRING)

Qode

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

You will work closely with technical analysts, client stakeholders, data scientists, and other team members to ensure data quality and integrity while optimizing data storage solutions for ...

Qode

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

You will work closely with technical analysts, client stakeholders, data scientists, and other team members to ensure data quality and integrity while optimizing data storage solutions for ...

Tetra Tech

Data Librarian

Colorado Springs, CO · On-site +1

This position is remote and must be a US citizen due to the projects we work on. Why Tetra Tech: At ... with Science to solve the world's most complex challenges. Our industry-leading experts in ...

Viasat, Inc.

Data Engineer

Englewood, CO · On-site +1

$174K - $261K/yr

Our mission is to enable our community of data scientists, analysts, and developers to derive faster insights and reduce TTM in order to fuel Viasat growth. The day-to-day In this Software Engineer ...

Cliftonlarsonallen

Data Analyst Senior

Denver, CO · On-site +1

$107K - $155K/yr

Degree in Business, Accounting, Finance, Economics, Analytics, or Data Science is preferred. Our approach to compensation emphasizes collaboration and career growth. We pay competitive wages and view ...

Janus Henderson Investors

Data Engineer

Denver, CO · On-site +1

$169K/yr

Remote work permitted 2 days a week. Requirements: Bachelor's degree in Information Systems ... Computer Science, Electronics Engineering, or a related field, plus 7 years of progressively ...

Five and Fly

Analytics Engineering Intern

Denver, CO · On-site +1

$17.25 - $22.50/hr

Remote Description We are looking for an Analytics Engineering Intern who is eager to learn and ... Data Science, Computer Science, or related fields. * Interest in data analysis, business ...

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All JobsData Scientist JobsRemote Data Scientist JobsRemote Data Scientist Jobs in Colorado

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 Aug 1, 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.
More about Remote Data Scientist jobs
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 job categories do people searching Remote Data Scientist jobs in Colorado look for? The top searched job categories for Remote Data Scientist jobs in Colorado are:
What cities in Colorado are hiring for Remote Data Scientist jobs? Cities in Colorado with the most Remote Data Scientist job openings:
Remote Data Scientist jobs near you
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.

AWS Data Engineer

Qode

CO • On-site, Remote

$114K - $137K/yr

Full-time

Re-posted 4 days ago

Job description

Job Brief
As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work closely with technical analysts, client stakeholders, data scientists, and other team members to ensure data quality and integrity while optimizing data storage solutions for performance and cost-efficiency. This role requires leveraging AWS native technologies and Databricks for data transformations and scalable data processing.
Responsibilities
• Lead and support the delivery of data platform modernization projects.
• Design and develop robust and scalable data pipelines leveraging AWS native services.
• Optimize ETL processes, ensuring efficient data transformation.
• Migrate workflows from on-premise to AWS cloud, ensuring data quality and consistency.
• Design automations and integrations to resolve data inconsistencies and quality issues
• Perform system testing and validation to ensure successful integration and functionality.
• Implement security and compliance controls in the cloud environment.
• Ensure data quality pre- and post-migration through validation checks and addressing issues regarding completeness, consistency, and accuracy of data sets.
• Collaborate with data architects and lead developers to identify and document manual data movement workflows and design automation strategies.
Skills and Requirements
• 10+ years' experience with a core data engineering skillset leveraging AWS native technologies (AWS Glue, Python, Snowflake, S3, Redshift).
• Experience in the design and development of robust and scalable data pipelines leveraging AWS native services.
• Proficiency in leveraging Snowflake for data transformations, optimization of ETL pipelines, and scalable data processing.
• Experience with streaming and batch data pipeline/engineering architectures.
• Familiarity with DataOps concepts and tooling for source control and setting up CI/CD pipelines on AWS.
• Hands-on experience with Databricks and a willingness to grow capabilities.
• Experience with data engineering and storage solutions (AWS Glue, EMR, Lambda, Redshift, S3).
• Strong problem-solving and analytical skills.
• Knowledge of Dataiku is needed
• Graduate/Post-Graduate degree in Computer Science or a related field.
• AWS S3 (data storage, export, recall)
• Athena (querying data lakes)
• Data pipelines (batch & near-real-time)
• Integration with external systems (FHIR)
• Secure data handling (KMS, Macie)
• Cloud-native analytics
• Multi-account, multi-region data architecture
• BI integrations: Power BI, Tableau, QuickSight

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