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Remote Data Science Jobs in Utah (NOW HIRING)

Tendo

Principal Data Scientist

Salt Lake City, UT · On-site +1

$131.75K - $178.25K/yr

Bachelor's degree in data science, statistics, epidemiology, engineering, information science, computer science, OR equivalent technical experience. * Hands-on experience writing Python code ...

DataAnnotation

Decision Scientist

Salt Lake City, UT · On-site +1

$40/hr

... remote work and setting your own schedule. We are looking for experienced quantitative ... Whether your background is in data science, astrophysics, economics, biostatistics, operations ...

Tendo

Senior Data Scientist

Salt Lake City, UT · On-site +1

$110.50K - $149.50K/yr

Bachelor's degree in data science, statistics, epidemiology, engineering, information science, computer science, OR equivalent technical experience. * Hands-on experience writing Python code ...

UMB Bank

AI Data Architect

Salt Lake City, UT · On-site +1

$83.20K - $178.80K/yr

However, the remote location must within the US. How you'll spend your time: * Define and implement ... Partner with AI engineers, data scientists, and business leaders to align data architecture with ...

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Remote Data Science information

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$21.2K

$94.3K

$180K

How much do remote data science jobs pay per year?

As of May 28, 2026, the average yearly pay for remote data science in Utah is $94,319.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,720.00 and $130,823.00 per year, depending on experience, location, and employer.

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).

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 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.

More about Remote Data Science jobs
What are the most commonly searched types of Data Science jobs in Utah? The most popular types of Data Science jobs in Utah are:
What are popular job titles related to Remote Data Science jobs in Utah? For Remote Data Science jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Utah look for? The top searched job categories for Remote Data Science jobs in Utah are:
What cities in Utah are hiring for Remote Data Science jobs? Cities in Utah with the most Remote Data Science job openings:
Remote Data Science jobs near you
Remote Data Science Consultant - Shape AI Reasoning

Remote Data Science Consultant - Shape AI Reasoning

DataAnnotation

Salt Lake City, UT • Remote

$40/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

A leading AI development firm is seeking experienced quantitative professionals to evaluate AI-generated analyses and provide feedback that shapes the future of AI systems. This remote role allows flexible scheduling, and you'll need 2+ years of hands-on quantitative experience, coding skills, and a relevant bachelor's degree. Projects pay starting at $40+ per hour, offering a significant opportunity to impact AI development.

Ideal candidates come from areas like data science or statistics. #J-18808-Ljbffr

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