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At Home Data Scientist Risk Jobs in Utah (NOW HIRING)

As a Senior Data Scientist at Epicor, you will be a key contributor in designing, building, and deploying highimpact ML and AI solutions that empower our customers and accelerate product innovation.

Staff Data Scientist Join Us at Pura--Reimagining Fragrance for the Future At Pura, we believe life ... That's why we're pioneering the future of fragrance, combining cutting-edge smart home technology ...

Staff Data Scientist Join Us at Pura-Reimagining Fragrance for the Future At Pura, we believe life ... That's why we're pioneering the future of fragrance, combining cutting-edge smart home technology ...

Successful candidates will offer deep analytical capabilities and will be adept at using large data ... Evaluate risk. * Work with stakeholders throughout the organization to identify opportunities for ...

Sr. Data Scientist

Lehi, UT · On-site

$150K - $185K/yr

KēSTA I.T. is actively seeking multiple Senior Data Scientists for an immediate permanent need ... Ability to program in at least one general-purpose language such as C# or Java * Demonstrated ...

As a Principal Data Scientist at Epicor, you will be the technical leader driving advanced analytics, machine learning, and AI strategy across our product ecosystem. You will guide data scientists ...

As a Principal Data Scientist at Epicor, you will be the technical leader driving advanced analytics, machine learning, and AI strategy across our product ecosystem. You will guide data scientists ...

Successful candidates will offer deep analytical capabilities and will be adept at using large data ... Evaluate risk. * Work with stakeholders throughout the organization to identify opportunities for ...

MLOps practices at scale). Requirements: * Advanced degree (Ph.D. or M.S.) in Computer Science ... This role is primarily performed in an office or home office setting and involves standard computer ...

... GenAI Data Scientist - Manager, you will play a pivotal role in transforming raw data into ... In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ...

Understand business and data requirements * Discover, clean, and transform data for analysis ... home schedule with a minimum of three days per week in the office at the new Zions Technology ...

Understand business and data requirements * Discover, clean, and transform data for analysis ... home schedule with a minimum of three days per week in the office at the new Zions Technology ...

Understand business and data requirements * Discover, clean, and transform data for analysis ... home schedule with a minimum of three days per week in the office at the new Zions Technology ...

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At Home Data Scientist Risk information

What is the difference between At Home Data Scientist Risk vs At Home Data Analyst Risk?

AspectAt Home Data Scientist RiskAt Home Data Analyst Risk
Required CredentialsTypically requires a master's or Ph.D. in data science, statistics, or related fieldsUsually requires a bachelor's degree in data analysis, statistics, or related areas
Work EnvironmentRemote, often involves complex modeling and predictive analyticsRemote, focuses on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, healthcare for advanced analyticsCommon in retail, marketing, and business sectors for reporting

The main difference between At Home Data Scientist Risk and At Home Data Analyst Risk lies in the complexity of tasks and required credentials. Data Scientists typically handle advanced modeling and require higher education, while Data Analysts focus on data reporting and analysis with more accessible qualifications. Both roles are remote and industry-specific, but Data Scientists often work on predictive analytics, whereas Data Analysts interpret existing data for decision-making.

What are the most commonly searched types of Data Scientist Risk jobs in Utah? The most popular types of Data Scientist Risk jobs in Utah are:
What are popular job titles related to At Home Data Scientist Risk jobs in Utah? For At Home Data Scientist Risk jobs in Utah, the most frequently searched job titles are:
What job categories do people searching At Home Data Scientist Risk jobs in Utah look for? The top searched job categories for At Home Data Scientist Risk jobs in Utah are:
What cities in Utah are hiring for At Home Data Scientist Risk jobs? Cities in Utah with the most At Home Data Scientist Risk job openings:
Infographic showing various At Home Data Scientist Risk job openings in Utah as of June 2026, with employment types broken down into 67% Full Time, 15% Part Time, and 18% Contract. Highlights an 94% In-person, and 6% Remote job distribution.

Data Scientist (Artificial Intelligence/Machine Learning)

USAJOBS - Search

Hill Air Force Base, UT • On-site

$125K/yr

Other

Posted 5 days ago


Job description

See below for important information regarding this job.
Position will be filled at any of the locations listed below. Site specific salary information as follows:
Battle Creek, MI: $125,776- $163,514
Columbus, OH: $131,245- $170,624
Dayton, OH: $130,461 - $169,604
Fort Belvoir, VA: $143,913- $187,093
New Cumberland, PA: $143,913- $187,093
Ogden, UT: $125,776- $163,514
Philadelphia, PA: $138,595- $180,178
Richmond, VA: $131,385- $170,806
Qualifications:To qualify for a Data Scientist (Artificial Intelligence/Machine Learning), your resume and supporting documentation must support:
A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
B. Specialized Experience: One year of specialized experience that equipped you with the particular competencies to successfully perform the duties of the position and is directly in or related to this position. To qualify at the GS-14 level, applicants must possess one year of specialized experience equivalent to the GS-13 level or equivalent under other pay systems in the Federal service, military, or private sector. Applicants must meet eligibility requirements including time-in-grade (General Schedule (GS) positions only), time-aftercompetitive appointment, minimum qualifications, and any other regulatory requirements by the cut-off/closing date of the announcement. Creditable specialized experience includes:
  • Conducts large, agency wide, research and development reviews of metrics, measurements, and evaluation methods for emerging and existing areas of Al.
  • Utilizes data science expertise to develop algorithms and tools to support data manipulation and processing as well as the use of data visualization techniques to articulate high risk findings.
  • Ensures the Al systems are designed for auditability to manage Al risk assessment policies and principles which guide automated decisions supporting DLA business operations.
  • Provides expert advice to senior leadership and Al stakeholders to adopt new or revised policy and implementation plans resulting from Al test and evaluation integration.
  • Assesses data quality and establishes standards to validate quality criteria for data to ensure it meets the necessary requirements for Al testing and evaluation.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:Are you using your education to qualify? You MUST provide transcripts or other documentation to support your educational claims. Unless otherwise stated: Unofficial transcripts are acceptable at time of application.
GRADUATE EDUCATION: One academic year of graduate education is considered to be the number of credits hours that your graduate school has determined to represent one academic year of full-time study. Such study may have been performed on a full-time or part-time basis. If you cannot obtain your graduate school's definition of one year of graduate study, 18 semester hours (or 27 quarter hours) should be considered as satisfying the requirement for one year of full-time graduate study.
FOREIGN EDUCATION: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show that the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs and such education has been deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university.Employment Type: OTHER