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Statistical Engineering Jobs in Utah (NOW HIRING)

Podium

Analytics Engineer

Lehi, UT · Hybrid

Degree in Computer Science, Math, Statistics, Engineering, Economics, Information Systems, or hands on job experience with data science or analytics * You are committed to honesty and a diverse and ...

Chromalox

Engineering Administrator

Ogden, UT · On-site

Chartsengineering metrics, based on statistics compiled, for reference by EngineeringManagement. * Assists in themaintenance/support of the Engineering Library. * AssistsEngineering Managers with ...

Albertsons

Industrial Engineer

Salt Lake City, UT

$67K - $91K/yr

Bachelor's Degree in Industrial Engineering or related field. * 3-5 years of experience in ... Strong mathematical/statistical analysis skills including statistical analysis and simulation ...

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All JobsStatistical Engineering JobsStatistical Engineering Jobs in Utah

Statistical Engineering information

See Utah salary details

$56.1K

$65.8K

$73.4K

How much do statistical engineering jobs pay per year?

As of Jun 21, 2026, the average yearly pay for statistical engineering in Utah is $65,794.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,100.00 and $70,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Statistical Engineer, and why are they important?

To thrive as a Statistical Engineer, you need strong quantitative analysis skills, a background in statistics or mathematics, and often a relevant degree such as in engineering or applied statistics. Proficiency with statistical software (e.g., R, SAS, Python), data management systems, and sometimes Six Sigma certification is typically required. Critical thinking, problem-solving, and clear communication are crucial soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate data-driven decisions, efficient process improvements, and effective solutions to complex engineering challenges.

What engineers make $300,000 a year?

Senior statistical engineers or data science leaders with extensive experience, advanced skills in statistical modeling, programming, and data analysis can earn $300,000 or more annually. These roles often require advanced degrees, certifications, and leadership responsibilities in industries like finance, technology, or pharmaceuticals.

What do statistical engineers do?

Statistical engineers develop and implement statistical models and methods to analyze complex data, often focusing on process improvement and quality control. They use tools like statistical software and programming languages such as R or Python and collaborate with data scientists and engineers to optimize systems and decision-making processes.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and certain roles in financial engineering can earn $500,000 or more annually, often including bonuses and stock options. High compensation typically requires extensive experience, advanced skills, and working in high-demand industries or leadership positions.

What is the difference between Statistical Engineering vs Data Scientist?

AspectStatistical EngineeringData Scientist
Required credentialsStatistics, Data Analysis, EngineeringStatistics, Computer Science, Data Analysis
Work environmentManufacturing, R&D, Engineering teamsBusiness, Tech, Research sectors
Employer usageOptimizing processes, designing experimentsBuilding models, insights, predictive analytics

Statistical Engineering focuses on applying statistical methods to improve engineering processes and product development, often within manufacturing or R&D settings. Data Scientists analyze large datasets to extract insights, build predictive models, and support business decisions. While both roles require strong statistical skills, Statistical Engineering emphasizes process optimization and experimental design, whereas Data Scientists focus on data-driven insights across diverse industries.

How much does a Statistical Engineer make?

The average salary for a Statistical Engineer typically ranges from $70,000 to $120,000 annually, depending on experience, education, and location. Professionals in this role often use statistical software and data analysis tools, and advanced skills can lead to higher compensation.

How does a Statistical Engineer typically collaborate with cross-functional teams to implement data-driven solutions?

Statistical Engineers frequently work alongside data scientists, software engineers, and business analysts to design and implement robust data-driven solutions. They are responsible for translating complex statistical models into actionable insights and ensuring that these models are integrated effectively within existing systems. Collaboration often involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical challenges together. This interdisciplinary teamwork is essential for ensuring that statistical methodologies are not only theoretically sound but also practically applicable to real-world business problems.

What is statistical engineering?

Statistical engineering is an interdisciplinary field that focuses on the integration and application of statistical methods and principles to solve complex, large-scale problems in science, business, and engineering. It involves designing data collection processes, analyzing and interpreting data, and implementing statistical solutions within larger systems. Statistical engineers often work on projects that require collaboration with other engineering disciplines, using statistics as a foundational tool to drive decision-making and innovation.
What are popular job titles related to Statistical Engineering jobs in Utah? For Statistical Engineering jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Statistical Engineering jobs in Utah look for? The top searched job categories for Statistical Engineering jobs in Utah are:
What cities in Utah are hiring for Statistical Engineering jobs? Cities in Utah with the most Statistical Engineering job openings:
Statistical Engineering jobs near you
Risk Division- Salt Lake City- Associate, Operational Risk- 9797277

Risk Division- Salt Lake City- Associate, Operational Risk- 9797277

Goldman Sachs, Inc.

Salt Lake City, UT • On-site

Full-time

Posted 10 days ago

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

Job Description
Job Duties: Associate, Operational Risk with Goldman Sachs & Co. LLC in Salt Lake City, Utah. Monitor new initiatives and review their proposed fraud controls for both existing and new business lines, challenging the business where appropriate. Analyze existing fraud capabilities and strategies, evaluate their effectiveness and propose alternative controls, when there are opportunities for improvements. Work directly with the Consumer Operations and Fraud Investigations functions responsible for execution of the fraud strategy and collaborate to identify gaps and process improvements. Use a data-driven approach to understand fraud risk and recommend effective identity theft and transaction fraud controls. Review, evaluate and help drive selection of new vendors or technologies to enhance the fraud strategy and mitigate emerging risks. Facilitate operational risk event management data collection, including detailed reviews of specific fraud operational risk issues/events and trends to identify significant or emerging risks and ensure appropriate remediation plans are implemented. Research and remain current on the latest industry fraud trends, emerging fraud risks within business drivers, regulatory and/or industry changes and recommend tools, services and practices for improvement. Work with business units to develop day-to-day risk management metrics which quantify the division's exposure to various types of fraud risk.
Job Requirements: Master's degree (U.S. or foreign equivalent) in Economics, Finance, Accounting, Mathematics, Statistics, Engineering, Information Systems, or a related field and one (1) year of experience in job offered or a related role or Bachelor's degree (U.S. or foreign equivalent) in Economics, Finance, Accounting, Mathematics, Statistics, Engineering, Information Systems, or a related field and three (3) years of experience in job offered or a related role. Prior experience must include one (1) year of experience (with a Master's degree) OR three (3) years of experience (with a Bachelor's degree) with: using advanced Microsoft Office skills, specifically with Excel (including pivots and VLookups), PowerPoint and Sharepoint; querying databases using SQL; knowledge of financial fraud types, industry fraud trends and fraud prevention and detection tools/vendors; working knowledge of applicable laws, regulations, and relevant industry standards pertaining to consumer/retail banking; presenting with impact and building consensus across senior stakeholder groups for successful challenge of strategy, process and/or procedure changes; applying data science in Python, R or Spark; developing comprehensive risk management reports from large datasets; and experience with consumer financial products such as credit cards, lending products, checking/deposit accounts and/or investment products.
©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.

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About Goldman Sachs

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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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