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Remote Data Scientist Jobs in Colorado (NOW HIRING)

IonQ

Senior Quantum Scientist

Boulder, CO · On-site +1

As a Quantum Scientist, you will be at the forefront of our research efforts, working hands-on with ... Analyze experimental data, debug complex hardware/software interactions, and ensure reliability of ...

Booz Allen Hamilton, Inc.

Data Engineer, Mid

Aurora, CO · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247098 Location: Aurora,CO,US Share job via: Share Data Engineer, Mid ... On our team, you'll use your analytical skills and data science knowledge to create real-world ...

Lynker Corporation

Senior Wetlands Scientist

Boulder, CO · On-site +1

$94K - $129K/yr

We are hiring a Senior Wetland Scientist to lead that work, combining wetland science, remote ... Data integration: integrate LiDAR-derived elevation, hydrology, imagery, soils, and existing ...

Lynker Corporation

Senior Wetlands Scientist

Boulder, CO · On-site +1

$90K - $130K/yr

We are hiring a Senior Wetland Scientist to lead that work, combining wetland science, remote ... Data integration: integrate LiDAR-derived elevation, hydrology, imagery, soils, and existing ...

Danaher

Principal Clinical Scientist

Denver, CO · On-site +1

... remote based (can also be onsite in Chaska, MN). At Danaher Diagnostics, our vision is to be the ... Ability to critically review and interpret scientific and clinical trial data, and oversee the ...

Enverus

Data Specialist - 26327

Denver, CO · Remote

We are currently recruiting for a Data Specialist to join our organization; this is a remote ... Bachelor's degree in Data Science, Information Systems, Business Analytics, Computer Science, or a ...

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Aurora, CO · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247077 Location: Aurora,CO,US Share job via: Share Data Engineer ... On our team, you'll use your analytical skills and data science knowledge to create real-world ...

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Aurora, CO · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0247097 Location: Aurora,CO,US Share job via: Share Data Engineer ... On our team, you'll use your leadership skills and data science expertise to create real-world ...

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Aurora, CO · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0247096 Location: Aurora,CO,US Share job via: Share Data Engineer ... On our team, you'll use your leadership skills and data science expertise to create real-world ...

CACI

Staff Computer Vision AI/ML Engineer

Aurora, CO · Remote

... in remote sensing, including Automatic Target Recognition (ATR) and Multimodal Data Fusion for ... S in Data Science, AI/ML, Computer Science, or related field 10+ years of experience, preferably in ...

Ziff Davis

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

Support and collaborate with data scientists, analysts, and product managers Job Requirements: * Bachelor's degree in Computer Science or related field or equivalent experience * 1+ year of ...

Ookla

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

Support and collaborate with data scientists, analysts, and product managers Job Requirements: * Bachelor's degree in Computer Science or related field or equivalent experience * 1+ year of ...

Ziff Davis

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

Support and collaborate with data scientists, analysts, and product managers Job Requirements: * Bachelor's degree in Computer Science or related field or equivalent experience * 1+ year of ...

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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 Sep 4, 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 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.

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 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.

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.

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 August 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 100% Remote job distribution, with an average salary of $129,062 per year, or $62 per hour.

Senior Quantum Scientist

IonQ

Boulder, CO • On-site, Remote

Full-time

Re-posted 21 days ago

Job description

Location: This role is based at our Boulder, CO office, with the option to work a few days a week remotely.
Travel: Up to 5%
Job ID: 1777

The Role: 

We are pioneering advancements in quantum computing by utilizing trapped ion technology and our proprietary laser-free quantum control methods. Our research and development efforts build on our fully integrated quantum processors that can be fabricated within standard silicon foundries. This unique approach allows us to leverage the highest-performing qubit technology while ensuring scalability and manufacturability using existing semiconductor fabrication technology. We approach quantum computing with a focus on minimizing errors, striving to achieve ultra-low gate errors at scale. Our immediate objective is to develop functional quantum computers within the NISQ regime, aiming to construct fault-tolerant machines that require minimal QEC overhead. Our recent breakthroughs include achieving 99.97% fidelity in two-qubit gates and 99.9992% fidelity in single-qubit operations without error correction, setting new industry standards for performance.

Responsibilities:

As a Quantum Scientist, you will be at the forefront of our research efforts, working hands-on with our current hardware while helping to shape future generations of quantum processors. Your work will span designing, debugging, and executing experiments, developing novel control schemes, and pushing the boundaries of system performance.

You will:

  • Prototype and characterize coherent control and cooling schemes for trapped-ion qubits using laser and microwave fields.
  • Calibrate and benchmark quantum systems, focusing on achieving ultra-low gate errors and optimizing performance across device modules.
  • Validate emerging trap technologies, including integrated electronics and photonics for large-scale architectures.
  • Analyze experimental data, debug complex hardware/software interactions, and ensure reliability of qubit operations.
  • Present results internally and externally, representing Oxford Ionics at conferences and in collaborations.

Requirements:

You will need a PhD in physics or a related discipline, with a strong foundation in atomic or qubit-related physics. While prior postdoctoral or industry experience is valuable, this role is also open to candidates moving directly from a PhD. A solid background in quantum control, with hands-on experience in calibration, benchmarking, or coherent control of qubits, will be key to success. Practical skills in control software, hardware integration, or experimental data analysis are also important.

You will need:

  • Proven expertise in experimental AMO physics or quantum computing.  Experience with trapped ions is preferred.
  • Strong collaborative skills, with the ability to work independently and as part of a fast-moving team
  • Prior experience in one or more of the following: spectroscopy or simulation of multi-level systems, characterization of control hardware, gate fidelity benchmarking or running algorithms on hardware
  • Strong proficiency in programming and data analysis.
  • A track record of scientific communication through publications, talks and conferences.


The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.

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