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Remote Data Science Jobs in Utah (NOW HIRING)

Full Stack Java Developer

Salt Lake City, UT · On-site +1

$50.75 - $65.50/hr

Req ID: 372102 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... Bachelor's or master's degree in computer science, Engineering, or a related field. * Core Java ...

$44 - $69.85/hr

As a Data Analyst-Technical-Senior, you will act in a more senior capacity, contributing to ... science, finance, business management, or economics and four years of relevant experience ...

The industry leader in science backed, modern hiring solutions powered by ethical AI, Hirevue has ... You'll take integrations-like a Workday-certified connection-from initial concept and data mapping ...

The industry leader in science backed, modern hiring solutions powered by ethical AI, Hirevue has ... You'll take integrations-like a Workday-certified connection-from initial concept and data mapping ...

Anly Clinical Development

Murray, UT · On-site +1

$61K - $84K/yr

... data science that change patients' lives for the better while enabling healthcare professionals to ... Remote- United States Travel: May include up to 5% [domestic/international] Relocation Assistance:

Regression Tester

Orem, UT · On-site +1

$110K - $130K/yr

... and candidate data. Qualifications & Experience * Bachelor's degree in Computer Science ... Flexible remote/hybrid work options. * Contribute to cutting-edge recruitment and analytics ...

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Showing results 1-20

Remote Data Science information

See Utah salary details

$21.2K

$94.3K

$180K

How much do remote data science jobs pay per year?

As of Jul 13, 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 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.

Can I work remotely in data science?

Yes, data science is a field that often offers remote work opportunities. Many companies hire data scientists to work remotely, requiring skills in programming, data analysis, and tools like Python or R. Remote data science roles typically involve collaboration through online platforms and may require strong communication skills.

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.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Remote data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills in programming, statistics, and machine learning. Many professionals transition into data science later in life by gaining certifications and building portfolios, making age less of a barrier in this field.

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 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.

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

Remote data scientists can earn $100,000 or more annually by gaining advanced skills in machine learning, programming languages like Python or R, and data visualization tools. Building a strong portfolio, obtaining relevant certifications, and gaining experience in high-demand industries can help achieve this income level while working remotely.
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 cities in Utah are hiring for Remote Data Science jobs? Cities in Utah with the most Remote Data Science job openings:
Infographic showing various Remote Data Science job openings in Utah as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $94,319 per year, or $45.3 per hour.
Water Resources Consultant - Senior Level - Mining Focus (Hybrid/Remote)

Water Resources Consultant - Senior Level - Mining Focus (Hybrid/Remote)

Barr

Salt Lake City, UT • On-site, Remote

$110K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago


Job description

The role - what you'll do

Barr is seeking a senior water resources consultant with a focus on mine water management to join our team as a mine water practice lead. In this hybrid role, you will work with multidisciplinary project teams providing project and/or task management and technical support primarily for Barr's mining clients, as well as clients in markets such as heavy industry and power generation.

The ideal candidate for this position has strong interpersonal, oral, and written communication skills, proven task or project management skills, and a willingness to work cooperatively with project team members in a high-energy environment that encourages self-initiative.

Your impact - key responsibilities

  • Leading technical analyses related to water balance modeling.

  • Hydrologic and hydraulic analyses and engineering studies.

  • Interacting with, coordinating with, and potentially leading or managing multidisciplinary project teams. Mentoring junior staff through project work.

  • Advising clients on mine water management strategies and alternatives analyses.

  • Performing business development, such as giving conference presentations or writing proposals.

About the opportunity

  • Hybrid: a hybrid work arrangement may be considered for this position. A hybrid work arrangement refers to splitting time worked between a Barr office and a home office. This position can be based out of the following Barr offices: Denver, Colorado; Duluth, Hibbing, or Minneapolis, Minnesota; Bismarck, North Dakota; Albuquerque, New Mexico; or Salt Lake City, Utah.

  • Remote: a remote work arrangement may be considered for this position. A remote arrangement refers to working primarily from a home office. Remote arrangements will be considered based on candidate qualifications, local regulations, and Barr's needs.

  • Work environment: ability to work in locations that feature rough terrain typical of construction or mining outdoor sites with limited accessibility, moving machinery, and other conditions typical of industrial facilities. Candidates must be able to perform job duties with or without reasonable accommodation.

About you - required core competencies

  • Education: bachelor's degree in math, science, engineering, or a related discipline.

  • Experience: 10+ years of relevant experience.

    • Experience developing water balance models, including spreadsheet-based and advanced simulation tools.

    • Experience with design of surface water impoundments, such as process ponds, water supply dams, and reservoirs.

    • Statistical analysis of hydrological data, including techniques such as cumulative frequency analysis.

    • Experience advising clients on mine water management strategies and alternatives analysis and a track record of building and sustaining client relationships.

    • Developed skills in probabilistic analysis or modeling, uncertainty analyses, and/or Monte Carlo analyses to inform and complete risk assessments.

  • Software: experience working with hydrologic, hydraulic, and water quality methods and modeling tools.

  • Driver's license: possession of a current, valid driver's license and acceptable driving record.

  • Must be legally authorized to work in the United States without the need for sponsorship from Barr, now or in the future.

Helpful additional experience (not required)

  • More than 10 years of experience working on projects directly related to job responsibilities described above at a consulting engineering firm or mining or industrial worksite.

  • M.Sc. or PhD degree(s) in civil or environmental engineering.

  • Experience working with software such as GoldSim, HEC-RAS, HEC-HMS, XPSWMM/PCSWMM, HSPF, HydroCAD, MS Excel, or the MIKE Suite of tools.

  • Strong relationships with clients and the ability to develop or foster ongoing relationships and maintain a high level of client service.

  • Examples of providing water resources engineering to support permitting and compliance.

  • Experience with mine closure and reclamation planning, such as assessing alternatives and developing a plan, including community involvement.

  • Familiarity with publicly available data sets to support hydrologic analyses such as USGS gage data in the USA, hydrometric stations in Canada, climate data from NWS, Environment Canada, or other gages.

  • Expertise with one or more of the following: data analysis, visualization, and presentation; hydraulic structure (outlet works) analysis and design; risk-informed decision making for alternative development and selection; climate change analysis for mine water management decision making; water recovery and reuse; cost-benefit assessments; due diligence services (e.g., review boards) for water management projects.

Compensation: anticipated range of $110,000-$160,000 annually. Compensation will vary based on relevant experience, education, skill level, and other compensable factors. Employees in this position may also be eligible for a discretionary cash bonus based on team and individual performance. This position is classified as exempt (salaried) under the Fair Labor Standards Act.

#LI-Hybrid #LI-Remote

Benefits - what we offer

We are committed to providing an employee experience that attracts and retains top talent. That's why we offer a competitive package of employee benefits - including some unique offerings not found at other companies. At Barr, we also believe that learning doesn't stop when you get your degree, which is why we provide coaching, mentoring, and support for ongoing educational opportunities to foster professional development at every stage of your career.

  • Competitive, affordable insurance plans: Medical, dental, vision, life, disability, accidental death insurance, and flexible spending accounts for medical and dependent care

  • Retirement benefits: 401(k) retirement savings plan with company contribution and an Employee Stock Ownership Plan (ESOP) with company contribution in Barr stock

  • Profit distribution: Barr has a "no retained earnings" model and distributes all profit to our employees through our annual bonus distribution plan, ESOP, and dividends to shareholders

  • Professional development benefits: Annual time and expense allowances, mentorship program, and many internal training opportunities

  • Work/life balance: Paid time off, holidays, overtime for non-exempt/hourly staff, and compensatory time for exempt/salaried staff (time off or pay for extra time worked), paid family leave

  • Wellness focus: Ergonomic analysis and equipment, Personal Protective Equipment allowance, wellbeing-focused educational opportunities

Please note that benefits eligibility is determined and may change based on part-time, reduced-time, or full-time status.

About us - why choose Barr

At Barr, you'll join a community of engineers, scientists, and professionals who will help you achieve your ambitions and build a meaningful, rewarding career. You'll serve as a trusted advisor to clients who value Barr's tailored solutions and commitment to exceptional service.

As part of our employee-owned firm, you'll contribute to a culture of commitment and camaraderie where staff can thrive as professionals. We value diverse perspectives and experiences and believe an inclusive workplace is critical to our success.

To learn more about Barr's culture and values, visit: https://www.barr.com/Careers/Our-culture

Open positions at Barr Engineering Co. do not have application deadlines. Barr Engineering Co. is an equal opportunity employer, and all applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.