1

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

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 ...

New

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 ...

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 ...

You'll work in a collaborative environment alongside experienced scientists and contribute to real ... Supporting immunoassay development teams with experimental setup, data collection, and ...

next page

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 Jul 30, 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.

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.

Is 40 too late for data science?

Age is not a barrier to becoming a data science associate; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Is an Associates in data science worth it?

An associate's degree in data science can provide foundational skills in data analysis, programming, and statistics, which may help entry-level candidates qualify for junior data science roles. However, many employers prefer candidates with a bachelor's degree or higher, and practical experience or certifications in tools like Python, R, or SQL can enhance job prospects. The value depends on career goals and the specific requirements of potential employers.

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 enhance their skills for more advanced roles.

What are Data Science Associates?

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 is the role of an associate data scientist?

An associate data scientist supports data analysis and modeling tasks by cleaning and processing data, developing algorithms, and creating visualizations. They often work under supervision to assist in building predictive models and may use tools like Python, R, or SQL to analyze data and generate insights.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

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.

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 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 July 2026, with employment types broken down into 1% As Needed, 68% Full Time, 29% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $64,184 per year, or $30.9 per hour.

ML Data Scientist III ( Seattle/Provo)

Press Ganey

Provo, UT • On-site

Full-time

Posted 2 days ago

New


Press Ganey rating

8.1

Company rating: 8.1 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

103rd of 488 rated business services


Job description

Company Description

Press 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.

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.comPlease provide your contact information and the details of your request so we can best assist you.

Press Ganey is looking for a passionate and entrepreneurial Machine Learning Data Scientist III - Conversational AI to join our AI Solutions team. The AI Solutions team is focused on developing and supporting the latest AI innovations in experience intelligence from agentic text analytics to conversational interfaces to data.


You will

  • Design, Develop, and evaluate Conversational AI Agents
  • Work closely with AI Scientists and ML Engineers to imagine, design, and develop various Machine Learning and Generative AI products
  • Leverage your Conversational AI experience to ensure alignment with current State-of-the-Art best practices throughout AI & Machine Learning team
  • Work closely with Responsible AI & Model Validation Center of Excellence to support ethical development of AI Agents

You have

  • Master's degree in Computer Science, Artificial Intelligence, or related field
  • 5+ years of professional experience in Applied Research and/or Software Engineering
  • Proven experience in Conversational AI / Dialogue Systems using Generative AI methods such as RAG, Deep Research Agents, Chain-of-Thought, Multi-agent architectures, etc.
  • Proven experience with Generative AI toolkits and standards such as LangChain, LangGraph, MCP, ADK, A2A, etc.
  • Strong understanding of Machine Learning, NLP, and Generative AI
  • Excellent communication and cross-team collaboration skills

Preferred Qualifications

  • PhD in Computer Science, Artificial Intelligence, or related field
  • Familiarity with data pipelines, ETL processes, and experience with distributed data frameworks like Apache Spark or Databricks.
  • Experience with large-scale deployment tools and environments, including Docker, Kubernetes, and cloud platforms like Azure, AWS, or GCP.
  • Involvement in Conversational AI research community

Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

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 $100,000to $140,000. 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/


What Press Ganey employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Press Ganey logo

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

Social media