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Cognitive Science Jobs in Utah (NOW HIRING)

Experience designing ML system architecture and endtoend data science solutions. * Applied ... and cognitive ERP. We help businesses stay future-ready by connecting people, processes, and ...

Lab Technician

Salt Lake City, UT · On-site

$19 - $21.63/hr

... scientific environment. Responsibilities Animal Behavior * Handle and train rats on complex cognitive tasks. * Design, build, and maintain custom behavioral rigs for rats, including integrating ...

Lab Technician

Salt Lake City, UT · On-site

$19 - $21.63/hr

... scientific environment. Responsibilities Animal Behavior * Handle and train rats on complex cognitive tasks. * Design, build, and maintain custom behavioral rigs for rats, including integrating ...

Schedules and conducts study assessments, including administration of questionnaires. and cognitive ... Opportunities to contribute to scientific manuscripts and abstracts. Other duties as assigned ...

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Cognitive Science information

See Utah salary details

$21.4K

$52.3K

$69.6K

How much do cognitive science jobs pay per year?

As of Jun 17, 2026, the average yearly pay for cognitive science in Utah is $52,267.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,700.00 and $56,400.00 per year, depending on experience, location, and employer.

What jobs do cognitive science majors get?

Cognitive science majors often pursue careers as research scientists, user experience designers, data analysts, artificial intelligence specialists, and cognitive consultants. These roles typically require skills in research methods, programming, and understanding human behavior, often utilizing tools like MATLAB, Python, or eye-tracking software.

Is cognitive science a useful degree?

Cognitive science is a useful degree for careers in research, artificial intelligence, human-computer interaction, and psychology, as it provides interdisciplinary skills in psychology, neuroscience, computer science, and linguistics. Graduates often find employment in tech companies, healthcare, academia, and consulting, with opportunities to develop skills in data analysis, programming, and experimental design. The degree can lead to roles that require critical thinking and problem-solving in understanding human cognition and behavior.

What are the key skills and qualifications needed to thrive in the Cognitive Science position, and why are they important?

To thrive in a Cognitive Science role, you need a solid grounding in psychology, neuroscience, computer science, linguistics, and data analysis, usually supported by at least a bachelor's or master's degree in a related field. Familiarity with statistical analysis software (such as SPSS or R), programming languages (like Python or MATLAB), and research tools is highly advantageous. Outstanding collaboration, critical thinking, and clear communication skills set top candidates apart in multidisciplinary teams. These skills and qualifications enable professionals to analyze complex cognitive processes and contribute innovative solutions to real-world human-computer interaction, AI, or behavioral research challenges.

What does a cognitive scientist do?

A cognitive scientist studies how the mind processes information, including perception, memory, language, and decision-making. They often conduct experiments, analyze data, and develop models using tools like computer simulations and statistical software to understand human cognition. Their work can involve interdisciplinary knowledge from psychology, neuroscience, linguistics, and computer science.

What are the typical career progression opportunities for someone in a Cognitive Science role?

Professionals in cognitive science often start in research assistant, data analyst, or user experience roles and can progress to positions such as lead researcher, UX researcher, cognitive engineer, or even project manager depending on their interests and expertise. With experience and additional qualifications, some transition into roles in artificial intelligence, human-computer interaction, neurotechnology, or higher education as professors or principal investigators. Opportunities for advancement are often influenced by your ability to publish research, collaborate across disciplines, and acquire advanced degrees or certifications. Many cognitive science professionals also find pathways into related industries including technology, healthcare, and education, allowing for diverse and rewarding career trajectories.

What is a Cognitive Science job?

A Cognitive Science job involves applying knowledge from psychology, neuroscience, artificial intelligence, philosophy, and linguistics to understand how humans and machines think, learn, and process information. Professionals in this field work in diverse industries, including technology, healthcare, research, and user experience design. Common roles include data scientist, UX researcher, AI specialist, and cognitive psychologist. These jobs often require analytical thinking, programming skills, and expertise in human behavior or machine learning.

Is cognitive science better than psychology?

Cognitive science is an interdisciplinary field that overlaps with psychology but also includes areas like neuroscience, computer science, and philosophy. As a cognitive science professional, understanding multiple disciplines can enhance research and problem-solving skills, whereas psychology focuses more specifically on mental processes and behavior. Both fields offer different career paths and specializations, so the choice depends on individual interests and goals.
What are the most commonly searched types of Cognitive Science jobs in Utah? The most popular types of Cognitive Science jobs in Utah are:
What are popular job titles related to Cognitive Science jobs in Utah? For Cognitive Science jobs in Utah, the most frequently searched job titles are:
Infographic showing various Cognitive Science job openings in Utah as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $52,267 per year, or $25.1 per hour.
Senior Data Scientist

Full-time

Posted 22 days ago


Job description

As a Senior Data Scientist at Epicor, you will be a key contributor in designing, building, and deploying high-impact ML and AI solutions that empower our customers and accelerate product innovation. You will architect machine learning systems, develop models at scale, and shape the end-to-end technical strategy that powers Epicor's analytics and intelligence platform. You will partner closely across engineering, product, and business teams to ensure our ML solutions deliver measurable value. We are seeking applicants with deep technical expertise, strong problem-solving instincts, and a passion for driving innovation with data
What you will be doing:
  • Architect and develop scalable ML and AI solutions, aligning model design and deployment with product and customer needs.
  • Build, train, and optimize machine learning models using Python, ML frameworks, and large-scale data pipelines.
  • Leverage PyTorch, ML SDKs, and GPU-accelerated workflows to support advanced model development and experimentation.
  • Work with large, complex datasets to design robust feature engineering, data processing, and model evaluation approaches.
  • Collaborate cross-functionally with engineering, analytics, finance, and professional services stakeholders to deliver end-to-end ML solutions.
  • Participate in the design of ML system architecture, ensuring reliability, quality, and operational efficiency.
  • Research emerging AI/ML technologies and integrate new capabilities that strengthen Epicor's long-term data science strategy.

What you will likely bring:
  • 6+ years' experience building, deploying, and supporting large-scale analytics, ML, or AI solutions.
  • Advanced proficiency in Python, including development of production-grade ML models.
  • Experience with PyTorch, ML SDKs, and modern machine learning frameworks.
  • Demonstrated success working with large datasets and architecting scalable data science workflows.
  • Experience designing ML system architecture and end-to-end data science solutions.
  • Applied analytics experience with strong analytical thinking and problem-solving skills.
  • Experience collaborating across technical and non-technical teams to drive ML-driven outcomes.

What could set you apart:
  • Experience with GPU-accelerated ML workflows.
  • Familiarity with R for data science or analytics research.
  • Experience writing or interpreting ML/AI whitepapers or applied research.
  • Exposure to big data pipelines and distributed compute environments.
  • Background collaborating with finance or professional services teams on data-driven initiatives.

#LI-HYBRID #LI-MB2
About Epicor
At Epicor, we're truly a team. Join 5,000 talented professionals in creating a world of better business through data, AI, and cognitive ERP. We help businesses stay future-ready by connecting people, processes, and technology. From software engineers who command the latest AI technology to business development reps who help us seize new opportunities, the work we do matters. Together, Epicor employees are creating a more resilient global supply chain.
We're Proactive, Proud, Partners.
Whatever your career journey, we'll help you find the right path. Through our training courses, mentorship, and continuous support, you'll get everything you need to thrive. At Epicor, your success is our success. And that success really matters, because we're the essential partners for the world's most essential businesses-the hardworking companies who make, move, and sell the things the world needs.
Competitive Pay & Benefits
  • Health and Wellness: Comprehensive health and wellness benefits designed to support your overall well-being.

  • Internal Mobility: Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally.

  • Career Development: Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your personal development.

  • Education Support: Geographically specific programs to balance the cost of education with the benefits of continued learning and personal development.

  • Inclusive Workplace: Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership.

  • Work-Life Balance: Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect.

  • Global Mobility: Comprehensive support for international relocations and permanent residency processes.

Equal Opportunities and Accommodations Statement
Epicor is committed to creating a workplace and global community where inclusion is valued; where you bring the whole and real you-that's who we're interested in. If you have interest in this or any role- but your experience doesn't match every qualification of the job description, that's okay- consider applying regardless.
We are an equal-opportunity employer.
Recruiter:
Matthew Brady