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Remote Data Science Jobs in Boulder, CO (NOW HIRING)

Data Analyst (Remote)

Denver, CO · 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:

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 ...

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 ...

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 Science information

See Boulder, CO salary details

$23.9K

$106.5K

$203.3K

How much do remote data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote data science in Boulder, CO is $106,539.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,032.00 and $147,772.00 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, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

Can I work remotely as a remote data scientist?

Yes, many remote data scientist positions are available, allowing professionals to work from anywhere with a reliable internet connection. These roles often require skills in programming, data analysis, and familiarity with tools like Python, R, or SQL, and may involve collaboration through online platforms. Remote work arrangements are common in the data science field, especially with the increasing adoption of cloud-based tools and flexible schedules.

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

What are the most commonly searched types of Data Science jobs in Boulder, CO? The most popular types of Data Science jobs in Boulder, CO are:
What are popular job titles related to Remote Data Science jobs in Boulder, CO? For Remote Data Science jobs in Boulder, CO, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Boulder, CO look for? The top searched job categories for Remote Data Science jobs in Boulder, CO are:
What cities near Boulder, CO are hiring for Remote Data Science jobs? Cities near Boulder, CO with the most Remote Data Science job openings:
Infographic showing various Remote Data Science job openings in Boulder, CO as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $106,539 per year, or $51.2 per hour.

Data Analyst (Remote)

NuView Analytics

Denver, CO • Remote

$80K - $100K/yr

Full-time

Re-posted 24 days ago


Job description

At NuView Analytics we help companies accelerate the time to insights from their data. We do this in three ways data analytics, data diligence, and fractional data science. Our clients are growth stage companies looking to drive additional value from the data they are sitting on. Through our values of humility, intellectual rigor, and stewardship we help companies gain a new perspective on their business through their data.

Salary: $80k100K + bonus + benefits
Location: 100% remote for US-based candidates

Responsibilities:

  • Candidate will complete data analytics and data science projects for clients
  • Candidate will work on client projects from start to finish scoping, onboarding, delivering
  • Candidate will train and develop new skills in both engagement process and data analytics skill sets when needed

Projects Include:

  • Ad-hoc data analysis
  • Deep data investigation
  • Data visualization
  • Data integration
  • ETL Development

Qualifications:

  • Bachelor's Degree in Analytics, Economics, Mathematics, Computer Science or a related Field
  • 1-3 Years of Relevant job experience
  • SQL Required
  • R or Python experience a plus
  • Tableau, PowerBI, or Looker Proficiency including advanced calculations or advanced DAX
  • Looking for a self-starter that can work well autonomously and together with a team to figure out solutions for clients
  • Ability to process data objectively and efficiently
  • Intellectually curious about new data tools and data analytics/science strategies
  • Familiarity across modern data stack including ETL (Stitch, Rivery, Fivetran, etc), Data warehouse (Big Query, Redshift, Snowflake, etc.) and Data Visualization (Tableau, Looker, Power BI, etc.)