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Part Time Data Scientist Jobs in Sandy, UT (NOW HIRING)

Data Analyst Assistant (Part-time, 20 hours/week) - Programming Focus Location: American Fork, Utah ... Collaborate with the data science team to understand, enhance, and maintain existing Python and SQL ...

Data Analyst Assistant (Part-time, 20 hours/week) - Programming Focus Location: American Fork, Utah ... Collaborate with the data science team to understand, enhance, and maintain existing Python and SQL ...

Research Specialists

Salt Lake City, UT · On-site

$14.38 - $27.87/hr

No Standard Hours per Week 19 Full Time or Part Time? Part Time Shift Day Work Schedule Summary TBD ... computing, data science, applied mathematics, medical/health informatics, or a closely related ...

We collaborate closely with data scientists, engineers, and product teams to build scalable and ... This is a part-time, work-study-based opportunity for active students in master's and PhD programs.

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Part Time Data Scientist information

See Sandy, UT salary details

$35.6K

$116.6K

$186.7K

How much do part time data scientist jobs pay per year?

As of Aug 19, 2026, the average yearly pay for part time data scientist in Sandy, UT is $116,633.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,600.00 and $129,200.00 per year, depending on experience, location, and employer.

What is a part time data scientist?

A part time data scientist is a professional who applies statistical analysis, machine learning, and data processing skills to extract insights from data, but works fewer hours than a full-time employee—typically under 35 hours per week. Part time data scientists may work for one or more companies, often on flexible schedules or as contractors. Their responsibilities can include data cleaning, building predictive models, and presenting data-driven insights to help organizations make informed decisions. This role is ideal for those seeking work-life balance, students, or professionals looking to supplement their income.

What does a part-time data scientist do?

A part-time data scientist’s skills and responsibilities are very similar to those of a data analyst. Like a data analyst, you have to collect and review company or industry data and then perform an analysis based on a business question the company wants to answer. You share this information with other parts of the enterprise. Where data scientists’ duties are different is that you use past data to build machine learning models. These machine learning models make predictions, and the goal is to identify trends that lead to a more thorough understanding of the business and its customers.

What are the key skills and qualifications needed to thrive as a part-time data scientist, and why are they important?

To thrive as a Part Time Data Scientist, you need strong analytical skills, proficiency in statistics, and experience with data modeling, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as knowledge of machine learning libraries, is often required. Excellent problem-solving, time management, and communication skills help you effectively deliver insights and collaborate despite reduced hours. These skills ensure you can provide high-impact, actionable analyses efficiently within a limited work schedule.

How does working part-time as a data scientist typically impact project involvement and collaboration with full-time team members?

As a part-time data scientist, you may be assigned to specific projects or tasks that fit within your available hours, often focusing on defined deliverables or analytical support roles. Collaboration with full-time colleagues is common, usually through regular meetings, shared documentation, and communication tools to ensure alignment. It's important to clearly communicate your schedule and capacity, as timely updates and hand-offs help maintain project momentum. While you might not be involved in every stage of a project, your specialized contributions are highly valued, and many organizations foster flexible, inclusive environments to integrate part-time professionals effectively.

What is the difference between Part Time Data Scientist vs Data Analyst?

AspectPart Time Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's degree in Data Analysis, Statistics, or related field
Work EnvironmentFlexible hours, project-based, often remoteOffice or remote, regular hours, structured projects
Employer & Industry UsageTech companies, startups, consulting firmsBusiness, finance, marketing, healthcare
Common Search & ComparisonPart Time Data Scientist vs Data Analyst

Part Time Data Scientists focus on advanced analytics, machine learning, and modeling, often requiring higher technical skills and specialized knowledge. Data Analysts typically handle data cleaning, reporting, and visualization. While both roles analyze data, Part Time Data Scientists work on complex models and predictive analytics, whereas Data Analysts focus on descriptive insights. The choice depends on your skills and career goals within data roles.

What are the most commonly searched types of Data Scientist jobs in Sandy, UT?

The most popular types of Data Scientist jobs in Sandy, UT are:

What are popular job titles related to Part Time Data Scientist jobs in Sandy, UT?

For Part Time Data Scientist jobs in Sandy, UT, the most frequently searched job titles are:

What job categories do people searching Part Time Data Scientist jobs in Sandy, UT look for?

The top searched job categories for Part Time Data Scientist jobs in Sandy, UT are:

What cities near Sandy, UT are hiring for Part Time Data Scientist jobs?

Cities near Sandy, UT with the most Part Time Data Scientist job openings:

Infographic showing various Part Time Data Scientist job openings in Sandy, UT as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $116,633 per year, or $56.1 per hour.

Data Analyst Assistant

Brevium

American Fork, UT • On-site

$20 - $22/hr

Part-time

Re-posted 11 days ago


Job description

Job Title: Data Analyst Assistant (Part-time, 20 hours/week) - Programming Focus
Location: American Fork, Utah (In Office)
About Us:
Brevium is a dynamic and innovative healthcare technology company located in American Fork, Utah. We specialize in providing cutting-edge solutions for healthcare practices, with a commitment to improving patient care and operational efficiency. Our team is dedicated to delivering advanced data analytics and insights to empower healthcare professionals.
Responsibilities:
  • Collaborate with the data science team to understand, enhance, and maintain existing Python and SQL programs.
  • Utilize Python for data analysis, employing libraries such as pandas, plotly, and sklearn.
  • Execute SQL queries for database retrieval, data manipulation, and integration tasks.
  • Assist in troubleshooting and debugging code-related issues in Python and SQL.
  • Document and present analysis results using data visualization tools such as plotly, matplotlib, and Excel.
  • Documenting code and analysis procedures.
  • Assist in the development and implementation of machine learning models for predictive analysis using industry-leading tools.
  • Able to communicate with Sales team to know what data insights are needed.

Qualifications:
  • Current student pursuing a degree in Computer Science, Data Science, Information Science, or a related field.
  • Proven experience in data analysis, with a strong focus on extracting actionable insights.
  • Proficiency in Python programming language, with experience in libraries such as pandas, plotly, sklearn.
  • Strong understanding of SQL for querying databases, retrieving data, and performing data manipulation tasks.
  • Familiarity with data cleaning, preprocessing, and statistical methods.
  • Ability to read, understand, and modify existing code for data analysis and visualization in Python and SQL.
  • Excellent communication skills.
  • Proficient in Excel.

Preferred Skills:
  • Intermediate to advanced python and SQL server skills.
  • Experience with data visualization tools like plotly and matplotlib.
  • Previous exposure to working with databases and data manipulation tasks.
  • Familiarity with statistical analysis tools and techniques.
  • Strong organizational skills and ability to be self motivated.

Working Hours:
• 20 hours per week (flexible schedule to accommodate academic commitments).
Compensation $20-22/hr