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Freelance Data Science Jobs in Utah (NOW HIRING)

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Freelance Data Science information

See Utah salary details

$34.1K

$111.7K

$178.9K

How much do freelance data science jobs pay per year?

As of Aug 31, 2026, the average yearly pay for freelance data science in Utah is $111,737.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,700.00 and $123,800.00 per year, depending on experience, location, and employer.

What is a freelance data scientist?

Freelance data scientists are independent professionals who analyze, interpret, and extract insights from data for clients on a project or contract basis, rather than working as full-time employees for a single organization. They leverage skills in statistics, programming, and machine learning to solve business problems, build predictive models, and visualize data. Freelance data scientists often work with multiple clients across various industries, providing flexibility and the ability to specialize in different types of data projects. Their work may include tasks such as data cleaning, exploratory data analysis, algorithm development, and reporting findings to stakeholders.

What are the key skills and qualifications needed to thrive as a freelance data scientist?

To thrive as a Freelance Data Scientist, you need strong proficiency in statistics, programming (commonly Python or R), and data analysis, often backed by a degree in a quantitative field or relevant certifications. Mastery of tools like Jupyter Notebook, SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and experience with cloud platforms are typically required. Excellent communication, self-motivation, and time management skills set successful freelancers apart by enabling effective client collaboration and project delivery. These abilities ensure you can independently deliver actionable insights and solutions that meet diverse client needs in a competitive market.

What are the most common challenges faced by freelance data scientists when working with clients remotely?

Freelance data scientists often encounter challenges such as unclear project scopes, varying data quality, and communication gaps when collaborating remotely with clients. It's essential to establish clear expectations, maintain regular updates, and set milestones to ensure both parties are aligned throughout the project. Additionally, freelancers may need to adapt to different tools or platforms based on each client's preferences, requiring flexibility and strong self-management skills. Building trust and delivering insights in a clear, actionable manner can help foster long-term client relationships.

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

AspectFreelance Data ScienceData Analyst
CredentialsTypically requires a degree in data science, statistics, or related fields; certifications like CAP or Microsoft Data AnalystOften requires a degree in statistics, mathematics, or related fields; certifications like Microsoft Data Analyst or Tableau
Work EnvironmentIndependent, project-based, remote or on-siteUsually employed within organizations, working in teams or departments
Employer & Industry UsageFreelance data science projects across various industries like tech, finance, healthcareIn-house roles in industries such as finance, marketing, healthcare, and retail

Freelance Data Science involves independent, project-based work requiring advanced skills in machine learning, programming, and statistical analysis. Data Analysts typically focus on interpreting existing data, creating reports, and visualizations within organizations. While both roles require strong analytical skills, freelance data scientists often 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 Utah?

The most popular types of Data Science jobs in Utah are:

What are popular job titles related to Freelance Data Science jobs in Utah?

For Freelance Data Science jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Freelance Data Science jobs in Utah look for?

The top searched job categories for Freelance Data Science jobs in Utah are:

Freelance Data Science jobs near you
Infographic showing various Freelance Data Science job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $111,737 per year, or $53.7 per hour.

Business Intelligence (Advanced Analytics Developer)

Solomon Page

Draper, UT • On-site

$55/hr

Contractor

Medical, Dental, Retirement

Posted 21 days ago

Job description

We're seeking an Analyst, AI & Analytics for our Executive and Equity Compensation function - a curious, hands-on analytics builder with strong quantitative problem-solving skills who can transform how we produce reporting, develop insights, and support high-stakes decisions. This role sits at the intersection of data analytics, business analysis, applied AI, automation, and compensation, partnering directly with the Director of Executive and Equity Compensation to turn ambiguous business needs into reliable, scalable analytics products using AI. Deep compensation expertise isn't required - we're prioritizing problem-solving, technical fluency, learning agility, and a proven track record of bringing practical solutions to reality in the age of AI.
  • Pay Range :$50/hr on w2 to $55/hr on w2
Responsibilities:
  • Apply a product-centric approach to streamline, re-engineer, and automate recurring monthly, quarterly, and annual reporting, reconciliations, analyses, and decision workflows
  • Evaluate compensation frameworks using quantitative and qualitative data to pinpoint problems and recommend data-backed automated AI solutions
  • Design, build, and maintain scalable data models, dynamic dashboards, and reporting solutions for use cases such as benchmarking, scenario analysis, grant and equity reporting
  • Apply company-approved AI tools and automation to data preparation, classification, reconciliation, anomaly detection, analysis, narrative generation, and ad hoc question answering, with appropriate human review and controls
  • Develop AI-enabled workflows, assistants, or agents grounded in approved data and documentation that produce reliable, explainable, and useful outputs
  • Translate ambiguous business questions into clear problem statements, requirements, prototypes, and measurable outcomes
  • Establish data definitions, quality checks, validation controls, documentation, and monitoring to improve trust, auditability, and repeatability
  • Create executive-ready visualizations and narratives that turn complex data from Workday, Vizier, and stock administration systems into clear insights, options, and recommendations
  • Partner across People Analytics, HR Technology, Stock Administration, Payroll, Data and Engineering, Privacy, Security, and Responsible AI
  • Evaluate tools and build-versus-buy options, create reusable operating practices, and handle highly sensitive information with exceptional discretion and accuracy
Required Qualifications:
  • 3-5 years of relevant experience in data analytics, business analytics, business systems, data science, finance, consulting, HR analytics, compensation, or a related field
  • Bachelor's degree in a quantitative, technology, analytics, business systems, or related field - or equivalent practical experience
  • Practical experience leveraging modern analytics and AI-enabled tools (e.g., ChatGPT Advanced Data Analysis, Claude Code) to accelerate data cleaning, script writing, and reporting; automate workflows; familiarity with prompt design, structured outputs, orchestration, or evaluation is valuable
  • Proven track record of breaking down complex or ambiguous problems and carrying solutions from concept through launch, adoption, and improvement
  • Strong proficiency in advanced Excel or Google Sheets strongly preferred; proficiency in SQL, Python, R, or another scripting/automation language is a plus but not required
  • Experience building data models, working with large and complex datasets, implementing validation and reconciliation controls, and creating dashboards in Power BI or a comparable platform
Preferred:
  • Experience in executive compensation, equity compensation, total rewards, people analytics, finance analytics, stock administration, or another adjacent domain
  • Business Systems Analyst experience with Workday or another HRIS, equity administration platforms
If you meet the required qualifications and are interested in this role, please apply today.
The Solomon Page Distinction
Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve.
About Solomon Page
Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook , and LinkedIn .
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