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Data Scientist Jobs in Sandy, UT (NOW HIRING)

Data Scientist FT / PT Status - Full-Time Salary - $33.63 - $56.31 Hourly Wage Remote Work / In-Office - Hybrid Recruiter - Angie Rhodes | arhodes@utah.gov Application Deadline - 7/9/2026 Key ...

The data scientist role involves solving technical, data-driven Healthcare problems using computer science, mathematical, predictive modeling and statistical methods, & knowledge. This person will ...

Data Scientist

Lehi, UT · On-site

$90 - $120/hr

The data scientist role involves solving technical, data-driven Healthcare problems using computer science, mathematical, predictive modeling, and statistical methods, & knowledge. This person will ...

The data scientist role involves solving technical, data-driven Healthcare problems using computer science, mathematical, predictive modeling and statistical methods, & knowledge. This person will ...

The data scientist role involves solving technical, data-driven Healthcare problems using computer science, mathematical, predictive modeling and statistical methods, & knowledge. This person will ...

Title and Summary Data Scientist I Who is Mastercard? As a global technology company our mission at Mastercard is to connect and power an inclusive, digital economy that benefits everyone, everywhere ...

Lead Data Scientist

Draper, UT · On-site +1

$144K - $250K/yr

The Lead Data Scientist is pivotal in generating insights and supporting the enterprise's data science needs, as well as enhancing the team's industry competence through research in Artificial ...

We are seeking a dedicated Data Scientist III with a passion for statistics, machine learning, and solving real‑world problems with robust data. The ideal candidate understands how to apply the ...

We are seeking a dedicated Data Scientist III with a passion for statistics, machine learning, and solving real-world problems with robust data. The ideal candidate understands how to apply the ...

We are seeking a dedicated Data Scientist III with a passion for statistics, machine learning, and solving real-world problems with robust data. The ideal candidate understands how to apply the ...

Summary The Sr Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this ...

Summary The Sr Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this ...

Summary The Sr Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this ...

Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning within the team. * Collaborate with cross-functional teams (engineering, product, business ...

Posted today

Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning within the team. * Collaborate with cross-functional teams (engineering, product, business ...

Posted today

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify high-impact business challenges and opportunities, analyze complex datasets, extract meaningful ...

Job Summary : nCino is a leader in cloud banking, seeking a Senior Data Scientist to join their Data & AI team. The role involves collaborating with stakeholders to analyze datasets, extract insights ...

As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify high-impact business challenges and opportunities, analyze complex datasets, extract meaningful ...

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Showing results 1-20

Data Scientist information

See Sandy, UT salary details

$35.6K

$116.6K

$186.7K

How much do data scientist jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data scientist in Sandy, UT is $116,633.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,600.00 and $129,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What do data scientists do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

Is data science a math heavy field?

Data scientists rely heavily on mathematics, including statistics, linear algebra, and calculus, to analyze data and develop models. Strong math skills are essential for tasks like machine learning, data analysis, and algorithm development, often complemented by programming in languages such as Python or R. However, practical skills in data manipulation and domain knowledge are also important for success in the field.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

What are some typical projects data scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.

What are the most commonly searched types of Data Scientist jobs in Sandy, UT?

The most popular types of Data Scientist jobs in Sandy, UT are:

What are popular job titles related to Data Scientist jobs in Sandy, UT?

For Data Scientist jobs in Sandy, UT, the most frequently searched job titles are:

What job categories do people searching Data Scientist jobs in Sandy, UT look for?

The top searched job categories for Data Scientist jobs in Sandy, UT are:

What cities near Sandy, UT are hiring for Data Scientist jobs?

Cities near Sandy, UT with the most Data Scientist job openings:

Infographic showing various Data Scientist job openings in Sandy, UT as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $116,633 per year, or $56.1 per hour.

Data Scientist

Bear River Mutual Insurance Company

Salt Lake City, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago


Job description

Description:Data Scientist

Location: Murray, Utah
Work Arrangement: In-Office / Hybrid


About the Role

We're looking for a Data Scientist to join Bear River Mutual Insurance.

As a Data Scientist, you'll build and deploy predictive models that directly influence business decisions and outcomes. You'll partner closely with teams across underwriting, claims, information technology, and customer service to uncover opportunities where data can improve decision-making, strengthen performance, and create better experiences for our policyholders.

Success in this role isn't measured simply by building models, it's measured by the impact those models have on the business. From improving underwriting decisions to identifying fraud and strengthening customer retention, your work will help make Bear River Mutual smarter, more efficient, and better positioned for the future.

This position is based in Murray, Utah. At Bear River Mutual, we value in-person collaboration and believe some of our best ideas come from working together, building relationships, and learning from one another.


What You'll Be Responsible For
  • Build, validate, and deploy predictive models, including claim cost modeling, customer retention modeling, underwriting risk scoring, and fraud detection.
  • Explore new data sources and evaluate their potential value for modeling and business insights.
  • Monitor model performance and contribute to model governance and performance tracking practices.
  • Partner with underwriting, claims, information technology, and customer service teams to understand business challenges and identify data-driven solutions.
  • Present findings and recommendations in a way that's meaningful to both technical and non-technical audiences.
  • Perform ad hoc analyses to support strategic and operational business decisions.
  • Collaborate with the broader analytics team on cross-functional initiatives and continuous improvement efforts.
Success in This Role

In this role, you'll:

  • Develop analytical solutions that improve business decisions and measurable outcomes.
  • Build trusted partnerships across departments by understanding business needs and delivering practical insights.
  • Communicate complex information in a way that helps others make informed decisions.
  • Continuously evaluate, refine, and improve predictive models to ensure they remain effective over time.
  • Contribute to a culture of collaboration, curiosity, and continuous improvement.
About You
  • You Put People First: You treat others with dignity and respect, build positive relationships, and communicate with professionalism and empathy.
  • You Stay Connected: You collaborate effectively, share information openly, and recognize the value of working together toward common goals.
  • You Are Accountable: You take ownership of your work, exercise sound judgment, and follow through on commitments. You can be counted on to do what you say you'll do.
  • You Deliver Service: You understand that your work ultimately supports our policyholders, business partners, and employees by helping improve decisions and outcomes.
  • You Value Relationships: You recognize that successful analytics begins with understanding people, not just data. You build trust by listening, communicating clearly, and partnering effectively across the organization.
  • You Care About Quality: You take pride in producing accurate, thoughtful work and understand that attention to detail leads to stronger outcomes.
  • You Balance Urgency with Judgment: You know when to move quickly and when to slow down, validate assumptions, and make thoughtful decisions.
  • You Embrace Continuous Improvement: You enjoy finding better ways to solve problems, improve processes, and create value through data.
  • You Are Adaptable: You remain open to change, new ideas, and evolving business needs while maintaining a focus on quality and results.
  • You Balance Experience with Curiosity: Whether you're bringing years of experience or building new expertise, you're committed to continuous learning, embracing new ideas, and adapting as technology, our industry, and our business evolve.
QualificationsRequired Qualifications
  • Bachelor's degree in Statistics, Computer Science, Economics, Actuarial Science, or another quantitative field.
  • Three or more years of experience building and deploying predictive models.
  • Proficiency in Python, SQL, and Git.
  • Strong understanding of statistical and machine learning principles.
  • Ability to communicate technical concepts effectively with both technical and non-technical audiences.
Preferred Qualifications
  • Experience in insurance, financial services, or another regulated industry.
  • Familiarity with model governance frameworks or risk management practices.
What We Offer
  • Competitive compensation with opportunities to participate in our performance-based bonus and profit-sharing programs
  • Comprehensive medical, dental, and vision coverage, plus employer-funded Health Savings Account (HSA) contributions for eligible medical plans
  • Company-paid life insurance and long-term disability coverage
  • A 401(k) with company match and a company-sponsored pension plan to help support your long-term financial goals
  • Generous paid time off, company-paid holidays, and a floating holiday to support work-life balance
  • Education reimbursement for approved programs to support your professional growth
  • Employee discounts on Bear River Mutual personal insurance products
  • The opportunity to work with talented, dedicated professionals who are committed to serving our policyholders and supporting one another
  • A collaborative environment built on our core values of People First, Connected, Accountable, and Service
  • The stability and strength of an organization that has proudly served Utah families for more than a century
Ready to Join Us?

If you're looking for meaningful work, enjoy solving complex problems, and want to make an impact at an organization with a strong legacy and a bright future, we'd love to hear from you.

Bear River Mutual Insurance Company is proud to be an Equal Opportunity Employer.


Why Bear River Mutual?

Established in 1909, Bear River Mutual is Utah's oldest and largest personal lines property and casualty insurer.

As a mutual insurance company, we're owned by our policyholders, not shareholders. That means we make decisions with a long-term perspective, always focused on serving our members, supporting our employees, and strengthening the communities we serve.

With fewer than 200 employees, every team member has the opportunity to make a meaningful impact. Here, your work is visible, your ideas matter, and your contributions help shape the future of our organization.


Our Values

Our values guide how we work, how we serve others, and how we make decisions every day.

  • People First: We treat every person with dignity and respect. We listen, communicate openly, and approach every interaction with professionalism, empathy, and care.
  • Connected: We work as one team. We collaborate across departments, share information openly, and recognize that our collective success is greater than any individual achievement.
  • Accountable: We do what we say we'll do. We take ownership of our work, act with integrity, and make thoughtful decisions that support our members, agents, and colleagues.
  • Service: We care for people. We strive to provide prompt, dependable support and create positive experiences in every interaction.
Requirements: