1

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

Pursue use cases to analyze and drive revenue, lower costs, increase speed, and reduce risk. Use ... a Data Scientist. Proficiencies must include a minimum of: experience with Power BI; experience ...

Pursue use cases to analyze and drive revenue, lower costs, increase speed, and reduce risk. Use ... a Data Scientist. Proficiencies must include a minimum of: experience with Power BI; experience ...

Pursue use cases to analyze and drive revenue, lower costs, increase speed, and reduce risk. Use ... a Data Scientist. Proficiencies must include a minimum of: experience with Power BI; experience ...

Independent Smart Good at communicating Capable Python programmer Able to think critically and ... Data scientists are also often called upon to answer questions about how the site currently ...

Transaction Classification, Temporal Analysis, Risk modeling from structured and unstructured data ... data science. - Present technical problems and findings to business leaders internally and to ...

At Snap Finance, we believe everyone deserves access to the things they need, regardless of credit ... We are seeking a dedicated Data Scientist III with a passion for statistics, machine learning, and ...

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify ... at nCino. The pay range for this role is based on relative market data and alignment with our ...

next page

Showing results 1-20

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 July 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution.

Data Scientist

swirecc

Draper, UT • On-site

Other

Re-posted 24 days ago


Job description

Swire Pacific Holdings, Inc. DBA Swire Coca-Cola, USA seeks a Data Scientist to conduct data science and advanced analytics for large manufacturing and retail company. Employ Artificial Intelligence and Machine Learning techniques across all business channels, customer and consumer segments, markets and products. Pursue use cases to analyze and drive revenue, lower costs, increase speed, and reduce risk. Use Databricks to transform raw data into cognizable information. Use statistical analysis and advanced machine learning techniques to build descriptive, diagnostic and predictive models. Use ML Ops to deploy models. Use PowerBI for business reporting and dashboards to enable decision making. Evaluate implications of findings on business outcomes, and communicate and document work. Use Python and SQL to model real-world outcomes. Employ PySpark for distributed data processing on the Cloud. Use Agile methodology for continuous improvement and development. #LI-DNI

Position requires a Master’s degree in Business Analytics or an equivalent field, and 2 years of experience as a  Data Scientist. Proficiencies must include a minimum of: experience with Power BI; experience with Databricks; experience with Supervised and Unsupervised Machine Learning; experience with SQL; experience with Python; experience with PySpark; experience with  Statistical Analysis; experience with Predictive Analysis; and experience with Agile Methodology. #LI-DNI 

Job location: Draper, UT.

Alternatively, please send your resume, cover letter, and a copy of the ad to: Amber Ivie, 12634 South 265 West, Draper, UT 84020.