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Data Science Associate Jobs in Mapleton, UT (NOW HIRING)

Data Clerk

Provo, UT · On-site

$15 - $18/hr

Associate's degree in Business, Information Systems, Data Analytics, Computer Science, Business Administration, or a related field preferred. Equivalent experience may be considered. Experience ...

Data Clerk

Provo, UT · On-site

$16 - $21.50/hr

Associate's degree in Business, Information Systems, Data Analytics, Computer Science, Business Administration, or a related field preferred. Equivalent experience may be considered. Experience ...

Data Clerk

Provo, UT · On-site

$16 - $21.50/hr

Associate's degree in Business, Information Systems, Data Analytics, Computer Science, Business Administration, or a related field preferred. Equivalent experience may be considered. Experience ...

Data Clerk

Provo, UT · On-site

$15 - $18/hr

Associate's degree in Business, Information Systems, Data Analytics, Computer Science, Business Administration, or a related field preferred.Equivalent experience may be considered.

We combine science, creativity, and premium ingredients to develop products that stand out in a ... plant level · Critically analyze data and make recommendations for product and process ...

Recent graduate (or soon to be) in Computer Science, Information Systems, Business Analytics ... Basic understanding of APIs, webhooks, or data integrations. * Familiarity with SQL, Python, or ...

Associate AI Operations

Provo, UT · On-site

$50K - $90K/yr

Recent graduate (or soon to be) in Computer Science, Information Systems, Business Analytics ... Basic understanding of APIs, webhooks, or data integrations. * Familiarity with SQL, Python, or ...

Recent graduate (or soon to be) in Computer Science, Information Systems, Business Analytics ... Basic understanding of APIs, webhooks, or data integrations. * Familiarity with SQL, Python, or ...

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Showing results 1-20

Data Science Associate information

See Mapleton, UT salary details

$54.2K

$64.2K

$121.7K

How much do data science associate jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data science associate in Mapleton, UT is $64,184.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,700.00 and $56,100.00 per year, depending on experience, location, and employer.

What is a data science associate?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a data science associate?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

How does a data science associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

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

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to advance into more specialized roles.

What cities near Mapleton, UT are hiring for Data Science Associate jobs?

Cities near Mapleton, UT with the most Data Science Associate job openings:

Infographic showing various Data Science Associate job openings in Mapleton, UT as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $64,184 per year, or $30.9 per hour.

Staff Data Engineer ( Seattle/Provo Hybrid)

Press Ganey Associates LLC

Provo, UT • On-site

$110 - $170/hr

Other

Posted 10 days ago


Press Ganey rating

8.1

Company rating: 8.1 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

108th of 496 rated business services


Job description

Company DescriptionPress Ganey is the leading experience measurement, data analytics, and insights provider for complex industries—a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare –perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees. Like all great companies, our success is a function of our people and our culture. Our employees have world‑class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world’s most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

Our Mission: We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.

Our Values: To put Human Experience at the heart of organizations so every person can be seen and understood. Energize the customer relationship: Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions. Success starts with me: Personal ownership fuels collective success. We each play our part and empower our teammates to do the same. Commit to learning: Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow. Dare to innovate: We challenge the status quo with creativity and innovation as our true north. Better together: We check our egos at the door. We work together, so we win together.

To work #bettertogether

To work #bettertogether, we operate with a hybrid working mode in the United States (US). For those near a US hub location, we gather in our office locations three days a week (Tuesday, Wednesday, Thursday). For the remaining days, we work from home.

Our current hub locations are in Chicago, IL, Boston, MA, and South Bend, IN.

Press Ganey is committed to providing reasonable accommodations to qualified individuals with disabilities or disabled veterans in the hiring process. If you need assistance or an accommodation to apply for a position online or for your interviews or assessments, please contact us at acommodations@pressganey.com Please provide your contact information and the details of your request so we can best assist you.

Duties & Responsibilities
  • Design, build, and optimize data pipelines and workflows in Azure and Databricks, including Data Lake and SQL Database integrations.
  • Implement scalable ETL/ELT frameworks using Azure Data Factory, Databricks, and Spark.
  • Optimize data structures and queries for performance, reliability, and cost efficiency.
  • Drive data quality and governance initiatives, including metadata management and validation frameworks.
  • Collaborate with cross-functional teams to define and implement data models aligned with business and analytical requirements.
  • Maintain clear documentation and enforce engineering best practices for reproducibility and maintainability.
  • Ensure adherence to security, compliance, and data privacy standards.
  • Mentor junior engineers and contribute to establishing engineering best practices.
  • Support CI/CD pipeline development for data workflows using GitLab or Azure DevOps.
  • Partner with data consumers to publish curated datasets into reporting tools such as Power BI.
  • Stay current with advancements in Azure, Databricks, Delta Lake, and data architecture trends.
Technical Skills
  • Advanced proficiency in Azure 5+ years (Data Lake, ADF, SQL).
  • Strong expertise in Databricks (5+ years), Apache Spark (5+ years), and Delta Lake (5+ years).
  • Proficient in SQL (10+ years) and Python (5+ years); familiarity with Scala is a plus.
  • Strong understanding of data modeling, data governance, and metadata management.
  • Knowledge of source control (Git), CI/CD, and modern DevOps practices.
  • Familiarity with Power BI visualization tool.
Minimum Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
  • 7+ years of experience in data engineering, with significant hands‑on work in cloud-based data platforms (Azure).
  • Experience building real‑time data pipelines and streaming frameworks.
  • Strong analytical and problem‑solving skills.
  • Proven ability to lead projects and mentor engineers.
  • Excellent communication and collaboration skills.
Preferred Qualifications
  • Master’s degree in Computer Science, Engineering, or a related field.
  • Exposure to machine learning integration within data engineering pipelines.
Additional Information for US-based jobs

Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.

Pay Transparency Non-Discrimination Notice – Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

The expected base salary for this position ranges from $110,000 to $170,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.

All your information will be kept confidential according to EEO guidelines.

Our privacy policy can be found here: https://www.pressganey.com/legal-privacy/

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About Press Ganey

Sourced by ZipRecruiter

Press Ganey pioneered the health care performance improvement movement 35 years ago. Today Press Ganey offers an integrated suite of solutions that enable enterprise transformation across the patient journey. Delivered through a cutting-edge digital platform built on a foundation of data security, Press Ganey solutions address safety, clinical excellence, patient experience, and workforce engagement. The company works with more than 41,000 health care facilities in its mission to reduce patient suffering and enhance caregiver resilience to improve the overall safety, quality, and experience of care.

Industry

Health care and social assistance

Company size

1,001 - 5,000 Employees

Headquarters location

Fort Worth, TX, US

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