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Data Scientist Machine Learning Jobs in Utah (NOW HIRING)

Senior Data Scientist

Lehi, UT ยท On-site

$107.90 - $183.40/hr

Senior Data Scientist - Overview nCino's Data & AI team is seeking a Senior Data Scientist to build ... Proficiently create machine learning models tailored to solve business problems. * Work with large ...

New

They are seeking an experienced Data Scientist to solve healthcare-related problems using data-driven methods and collaborate with various teams to enhance machine learning and predictive modeling ...

Lead Data Scientist

Draper, UT ยท On-site +1

$144K - $250K/yr

Advanced machine learning modeling and/or technical expertise in developing market differentiation data science products. * Experience in bank card/credit card business, consulting, retail, marketing ...

Data Scientist III

West Valley City, UT ยท On-site

$90 - $120/hr

Since 2012, we've used data, machine learning, and a more human approach to create flexible ... We are seeking a dedicated Data Scientist III with a passion for statistics, machine learning, and ...

New

Since 2012, we've used data, machine learning, and a more human approach to create flexible ... We are seeking a dedicated Data Scientist III with a passion for statistics, machine learning, and ...

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 ...

Data Scientist III

West Valley City, UT ยท On-site

$90 - $120/hr

Since 2012, we've used data, machine learning, and a more human approach to create flexible ... We are seeking a dedicated Data Scientist III with a passion for statistics, machine learning, and ...

They are seeking a highly skilled Machine Learning Engineer to manage large datasets, optimize ... data scientists, and lab automation teams to ensure seamless integration of lab data and ML model ...

Responsibilities - Leading the design and development of AI and Machine Learning solutions to ... Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems ...

Showing results 21-40

Data Scientist Machine Learning information

See Utah salary details

$34.1K

$111.7K

$178.9K

How much do data scientist machine learning jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data scientist machine learning 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 data scientist machine learning?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the key skills and qualifications needed to thrive in the data scientist machine learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

What are the typical day-to-day responsibilities of a data scientist machine learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Utah? The most popular types of Data Scientist Machine Learning jobs in Utah are:
What job categories do people searching Data Scientist Machine Learning jobs in Utah look for? The top searched job categories for Data Scientist Machine Learning jobs in Utah are:
Infographic showing various Data Scientist Machine Learning job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $111,737 per year, or $53.7 per hour.

Senior Data Scientist

3M HEALTHCARE

Lehi, UT โ€ข On-site

$107.90 - $183.40/hr

Other

Posted 3 days ago

New


Job description

Senior Data Scientist โ€“ Overview

nCinoโ€™s Data & AI team is seeking a Senior Data Scientist to build intelligent automation and insights for our global cloud banking platform. The role collaborates with crossโ€‘functional stakeholders to identify highโ€‘impact business challenges, analyze complex datasets, and develop, deploy, and monitor dataโ€‘driven solutions.

Essential Functions
  • Apply advanced knowledge in building largeโ€‘scale machine learning, predictive modeling, and analytics tools.
  • Proficiently create machine learning models tailored to solve business problems.
  • Work with large data sets and algorithms across multiple data sources.
  • Acquire domain knowledge of the business to inform model development and problemโ€‘solving.
  • Develop, deploy, and monitor complex machine learning models.
  • Lead teams in implementing programming best practices and adopting emerging technologies.
  • Leverage AI tools to enhance software development activities (code generation, testing, debugging, optimization).
  • Use AI/ML insights to identify patterns, automate repetitive tasks, and improve development efficiency and product quality.
  • Evaluate and integrate AI/ML capabilities to strengthen product functionality and user experience.
  • Maintain awareness of emerging AI trends and best practices to drive continuous learning and innovation.
Qualifications โ€“ Required
  • Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science, or related field with 5+ years of experience, or equivalent education/experience combination.
  • Mastery of programming in Python or R.
  • Experience with data visualization tools (DOMO, AWS Quicksight, Tableau, etc.).
  • Mastery of machineโ€‘learning algorithms and techniques.
  • Strong problemโ€‘solving skills and ability to work independently and collaboratively.
  • Strong experience with SQL or noSQL database management systems.
  • Experience deploying and monitoring models in production.
  • Strong understanding of business domain and ability to translate business questions into analytics projects.
  • Flexibility and the ability to be productive in a fastโ€‘paced, team environment.
  • Excellent verbal and written communication skills for technical and nonโ€‘technical audiences.
  • Familiarity with production code practices (unit testing, OOP, error handling, logging, contract testing, version control).
Qualifications โ€“ Desired
  • Advanced degree in Data Science, Statistics, Mathematics, Computer Science, or related field.
  • Experience developing and deploying models using Databricks and MLflow.
  • Experience with AWS tools and services (Lambda, SageMaker, S3, Athena, Quicksight).
  • Experience with Agile software development.
Pay Range

Base salary range: $107,900.00 โ€“ $183,400.00. The range reflects the minimum and maximum for each posting and is used to determine new hire rates. Total compensation may include additional components.

Equal Employment Opportunity

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 employment benefits and privileges, please contact recruiting@ncino.com.

We strive to create workplaces where employees are empowered to bring their authentic selves to work.

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