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Data Science Analytics Jobs in Utah (NOW HIRING)

nCino

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

Your passion and advanced knowledge in data analysis, statistics, AI, and machine learning will be ... Understanding of data science priorities and how each contributes to the success of nCino

nCino OpCo

Senior Data Scientist

Lehi, UT

$107K - $183K/yr

Your passion and advanced knowledge in data analysis, statistics, AI, and machine learning will be ... Understanding of data science priorities and how each contributes to the success of nCino

Waystar

Data Scientist

Lehi, UT · On-site

This person will primarily work as part of the larger Data Science team interacting Product Management and Application teams to conduct analysis and experimentation to maximize the utility of ...

Patientco

Data Scientist

Lehi, UT · On-site

This person will primarily work as part of the larger Data Science team interacting Product Management and Application teams to conduct analysis and experimentation to maximize the utility of ...

Crew Career Center

Data Scientist

Lehi, UT · On-site

This person will primarily work as part of the larger Data Science team interacting Product Management and Application teams to conduct analysis and experimentation to maximize the utility of ...

Trove Brands

Sales Forecasting Analyst

Lehi, UT · On-site

Bachelor's degree in Business, Data Science/Analytics, Economics, Statistics, or a related field. * 3+ years of retail business analyst experience; international account experience preferred.

Pura

Staff Data Scientist

Pleasant Grove, UT · On-site

By blending artistry and science, Pura allows users to design their own "scentscapes" that enhance ... Strong analytical and problem-solving skills with attention to data quality and reliability

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Data Science Analytics information

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$22

$49

$86

How much do data science analytics jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for data science analytics in Utah is $49.84, according to ZipRecruiter salary data. Most workers in this role earn between $40.05 and $56.44 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Analytics professional, and why are they important?

To thrive in Data Science Analytics, a strong background in statistics, data modeling, and programming (often with a degree in computer science, mathematics, or a related field) is essential. Familiarity with tools such as Python, R, SQL, and data visualization platforms like Tableau or Power BI, as well as knowledge of machine learning libraries, is typically required. Critical thinking, problem-solving, and effective communication skills help professionals translate complex data insights into actionable business strategies. These competencies are crucial for extracting meaningful information from data and driving informed decision-making within organizations.

How do data science analytics professionals typically collaborate with other departments within an organization?

Data science analytics professionals often work closely with teams across the organization, such as marketing, finance, product development, and IT. Their role involves understanding business needs, gathering requirements, and translating complex data findings into actionable insights for non-technical stakeholders. Effective communication and teamwork are essential, as data scientists may participate in cross-functional meetings, present their analyses, and tailor their recommendations to support strategic decision-making. This collaborative approach not only enhances the impact of analytics projects but also fosters continuous learning and innovation within the organization.

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

AspectData Science AnalyticsData Analyst
Required CredentialsDegree in Data Science, Statistics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; proficiency in Excel and SQL
Work EnvironmentOften involves complex modeling, machine learning, and predictive analyticsFocuses on data cleaning, reporting, and visualization
Employer & Industry UsageTech companies, finance, healthcare, and research institutionsBusiness, marketing, finance, and operations across various industries

Data Science Analytics and Data Analysts both work with data, but Data Science Analytics typically involves advanced modeling and predictive techniques, while Data Analysts focus on data reporting and visualization. The roles often overlap, but Data Science Analytics requires more technical skills and a deeper understanding of algorithms.

What is data science analytics?

Data science analytics is the process of extracting insights and knowledge from data using statistical, mathematical, and computational techniques. It involves collecting, cleaning, analyzing, and visualizing data to help organizations make informed decisions. Professionals in this field use tools like Python, R, and SQL to interpret complex data sets, build predictive models, and identify trends or patterns. Data science analytics plays a key role in industries such as finance, healthcare, retail, and technology, enabling businesses to optimize operations and improve outcomes.
What are the most commonly searched types of Data Science Analytics jobs in Utah? The most popular types of Data Science Analytics jobs in Utah are:
What are popular job titles related to Data Science Analytics jobs in Utah? For Data Science Analytics jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Data Science Analytics jobs in Utah look for? The top searched job categories for Data Science Analytics jobs in Utah are:
Data Science Analytics jobs near you
Infographic showing various Data Science Analytics job openings in Utah as of July 2026, with employment types broken down into 1% Internship, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $103,667 per year, or $49.8 per hour.
Senior Data Scientist

Senior Data Scientist

nCino

Lehi, UT • On-site

$107K - $183K/yr

Full-time

Re-posted 7 days ago

Job description

nCino offers exciting career opportunities for individuals who want to join the worldwide leader in cloud banking.
Are you a highly motivated problem solver looking for a challenge? Do you want to make a significant impact on complex banking problems and be a driving force in the AI revolution in banking? Then look no further! Our Data & AI team is seeking a Senior Data Scientist to join us in building intelligent automation and insights into our products.
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 insights, and develop/deploy/monitor data-driven solutions. Your passion and advanced knowledge in data analysis, statistics, AI, and machine learning will be instrumental in driving data-driven products and services across the banking industry.
Essential Functions:
  • Applies developed knowledge and understanding of building large-scale machine learning, predictive modeling, and advanced analytics tools; proficient in multiple data-related programming languages
  • Proficient creating machine learning, predictive modeling, and advanced analytics tools tailored to solve business problems
  • Experience in large data sets and algorithms
  • Considers and analyzes information from multiple data sources, including experience and input from others when determining the best approach for routine and non-routine problems
  • Ability to prototype ideas and demonstrate pros and cons in a clear and concise manner
  • Understanding of data science priorities and how each contributes to the success of nCino
  • Demonstrates ability to acquire domain knowledge of the business and effectively applies this expertise to inform model development and problem-solving approaches
  • Extensive experience in developing, deploying, and monitoring complex machine learning models
  • Lead and guide teams in implementing programming best practices and adopting emerging technologies
  • Leverage AI tools and techniques to enhance software development activities, including code generation, testing, debugging, and optimization.
  • Apply AI insights to identify patterns, automate repetitive tasks, and improve overall development efficiency and product quality.
  • Evaluate and integrate AI/ML capabilities where appropriate to strengthen product functionality and user experience.
  • Maintain awareness of emerging AI trends and best practices to inform continuous learning and innovation.

Qualifications:
Required:
  • Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science or a related field with 5+ years of related experience or combination of experience and education
  • Demonstrated mastery of programming skills in Python or R
  • Experience with data visualization tools (DOMO, AWS Quicksight, Tableau, etc.)
  • Demonstrated mastery of machine learning algorithms and techniques
  • Strong problem-solving skills and ability to work independently and collaboratively
  • Strong experience with SQL or noSQL and database management systems
  • Experience deploying and monitoring models in production
  • Strong understanding of the business domain
  • Ability to translate business questions into analytics projects and deliver actionable insights
  • Flexibility and the ability to be productive in a fast-paced, team environment
  • Excellent verbal and written communication skills for technical and non-technical audiences
  • Familiarity with production code practices, including unit testing, object-oriented programming (OOP), error handling, logging, contract testing, and version control

Desired:
  • Advanced degree in Data Science, Statistics, Mathematics, Computer Science or a related field
  • Experience developing and deploying models using Databricks and mlflow
  • Experience with AWS tools and services, including Lambda, Sagemaker, S3, Athena, Quicksight
  • Experience with Agile software development

If you thrive in a high-energy, entrepreneurial environment, we invite you to share your passion, ideas and excitement at nCino.
The pay range for this role is based on relative market data and alignment with our compensation philosophy. The range displayed reflects the minimum and maximum of the pay range for each job posting, which is used to determine new hire rates/salaries and takes into consideration multiple factors including but not limited to knowledge, skills, abilities, proficiencies, experience, education, licensures/certifications, as well as business and organizational needs. nCino reserves the right to modify the posted range consistent with our internal practices and external market movement. The recruiter for this job posting can share more compensation details during the recruitment process, as base salary is only one component of the total compensation package per position posted.
The base salary range for this job is:
$107,900.00 - $183,400.00
nCino provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability, genetics or other protected groups. In addition to federal law requirements, nCino complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
nCino is committed to the full inclusion of all qualified individuals. As part of this commitment, nCino will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us at recruiting@ncino.com.
Our commitment to inclusion and equality includes a strong belief that the diversity of our team is instrumental to our success. We strive to create workplaces where employees are empowered to bring their authentic selves to work.

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