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Data Science Associate Jobs in Utah (NOW HIRING)

CenterWell

Data Engineer - Healthcare

Salt Lake City, UT · Remote

$110.80K - $133.10K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, or related field. * 2+ years ... Associate benefits are designed to encourage personal wellness and smart healthcare decisions for ...

Pwc

Data Engineer - Senior Manager

Salt Lake City, UT

$124K - $280K/yr

... Associate] is a plus - Designing and implementing thorough data architecture strategies ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

University of Utah

Post Doc Res Assoc

Salt Lake City, UT

$65.60K - $73.14K/yr

Details Open Date 03/27/2026 Requisition Number PRN44612B Job Title Post Doc Res Assoc Working ... Data Science). * Strong publication record for your career stage and evidence of driving projects ...

University of Utah

Post Doc Res Assoc

Salt Lake City, UT · On-site

$65.60K - $73.14K/yr

Announcement Details Open Date 03/27/2026 Requisition Number PRN44612B Job Title Post Doc Res Assoc ... Data Science). * Strong publication record for your career stage and evidence of driving projects ...

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How much do data science associate jobs pay per year?

As of May 28, 2026, the average yearly pay for data science associate in Utah is $61,941.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,700.00 and $54,200.00 per year, depending on experience, location, and employer.

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.

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 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.

Is data science dead in 10 years?

Data Science Associate roles are expected to remain relevant in the next decade as organizations continue to rely on data-driven decision making. Advances in automation and AI may change some tasks, but skills in statistical analysis, programming, and machine learning will still be valuable for interpreting complex data. Continuous learning and adapting to new tools like Python, R, and cloud platforms will be important for future success in the field.

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 are the most commonly searched types of Data Science jobs in Utah? The most popular types of Data Science jobs in Utah are:
What are popular job titles related to Data Science Associate jobs in Utah? For Data Science Associate jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Data Science Associate jobs in Utah look for? The top searched job categories for Data Science Associate jobs in Utah are:
What cities in Utah are hiring for Data Science Associate jobs? Cities in Utah with the most Data Science Associate job openings:
Data Science Associate jobs near you
Global Banking & Markets - Salt Lake City- Associate, Data Analytics & Reporting

Global Banking & Markets - Salt Lake City- Associate, Data Analytics & Reporting

Goldman Sachs

Salt Lake City, UT • On-site

$57.10K - $57.60K/yr

Other

This job post has expired today. Applications are no longer accepted.

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

29th of 141 rated banks

Job description

Associate, Data Analytics & Reporting

Function as a financial services business analyst responsible for performing and project managing data analytics (e.g., machine learning), monitoring portfolio health and identifying opportunities to drive industry leading operational excellence and exceptional customer experience. Leverage advanced modeling techniques to build forecasting models and machine learning techniques to understand the drivers of portfolio performance trends and identify solutions for improvements. Analyze data trends, utilize forecasting methods such as Time Series analysis, and leverage Machine Learning techniques such as Gradient Boost and Random Forest to perform deep dives and understand drivers and trends. Define functional requirements, service level objects (SLOs), quality-related measurements and scenario-based use cases in support of a product or project management lifecycle. Conduct process re-engineering and workflow design. Assist in the implementation of solutions to improve portfolio performance. Identify, document, and improve existing processes to maximize efficiency in constantly evolving environments, and adhere to any new compliance guidance through monitoring new client, business and regulatory needs. Provide analysis, design strategies for strategic projects and drive end-to-end project delivery. Work with desktop platforms and applications to ensure overall availability, while factoring in upstream or downstream system dependencies.

Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Industrial Engineering, or related field and three (3) years of experience in the job offered or in a related role. Prior experience must include three (3) years of experience with: working in a business analyst role within the financial services sector; defining functional requirements, service level objects (SLOs), quality-related measurements and scenario-based use cases in support of a product or project management lifecycle; process re-engineering and workflow design; and working with desktop platforms and applications, ensuring overall availability, while factoring in upstream or downstream system dependencies.

The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

Job Identification 173246

Job Category Associate

Locations Salt Lake City, UT, United States

What Goldman Sachs employees say

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

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