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Data Science Junior Jobs in Utah (NOW HIRING)

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... junior staff while upholding remarkable standards of quality and innovation in deliverables.

Present scientific data and serve as subject matter expert (SME) for analytical methods. * Lead or mentor junior scientists and assist in training on analytical methods. * Support and contribute to ...

Present scientific data and serve as subject matter expert (SME) for analytical methods. * Lead or mentor junior scientists and assist in training on analytical methods. * Support and contribute to ...

Identify opportunities to improve lab processes, workflows, and data quality. * Support ... Provide guidance, training, and mentorship to Lab Specialists and junior staff. * Collaborate with ...

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 ...

Junior Software Engineer

Lehi, UT · On-site

$65K - $85K/yr

Bachelor's degree in Computer Science, Software Engineering, or a related field or 2 years of ... This post may be updated as new market data becomes available and is accurate as of the date of ...

Build strong internal and external collaborations, mentor junior scientists, and maintain expertise ... Ability to critically review and interpret scientific and clinical trial data, and oversee the ...

Junior Software Engineer

Lehi, UT · On-site

$65K - $85K/yr

Bachelor's degree in Computer Science, Software Engineering, or a related field or 2 years of ... This post may be updated as new market data becomes available and is accurate as of the date of ...

Showing results 41-60

Data Science Junior information

See Utah salary details

$31.4K

$72.2K

$116.1K

How much do data science junior jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data science junior in Utah is $72,240.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,900.00 and $74,200.00 per year, depending on experience, location, and employer.

What is a data science junior?

A Data Science Junior is an entry-level role in data science where professionals assist in analyzing data, building models, and generating insights. They work under the guidance of senior data scientists, helping with data cleaning, visualization, and basic machine learning tasks. This role requires proficiency in programming languages like Python or R, knowledge of statistics, and familiarity with data manipulation tools. It serves as a foundation for gaining hands-on experience and advancing in the data science field.

What are the typical daily responsibilities of a data science junior?

As a Data Science Junior, your daily tasks often include cleaning and preparing data sets, conducting exploratory data analyses, and supporting the development of predictive models under the guidance of senior team members. You may also assist in visualizing data and preparing reports to help communicate insights to both technical and non-technical stakeholders. Collaboration is a key part of the role, as you'll frequently work with data engineers, analysts, and business teams to understand project goals. These responsibilities help you build foundational skills and gain exposure to a variety of real-world data problems early in your career.

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

To thrive as a Data Science Junior, a strong understanding of statistics, mathematics, and data analysis is essential, often supported by a bachelor's degree in a related field. Familiarity with programming languages like Python or R, as well as tools such as SQL and visualization platforms, is typically required. Strong problem-solving abilities, effective communication, and a willingness to learn make candidates stand out in this role. These skills enable efficient data exploration, clear communication of insights, and successful collaboration on data-driven projects.

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 cities in Utah are hiring for Data Science Junior jobs?

Cities in Utah with the most Data Science Junior job openings:

Infographic showing various Data Science Junior job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $72,240 per year, or $34.7 per hour.

Platform Engineer Machine Learning (Utah)

Waystar, Inc

Lehi, UT • On-site

$100 - $130/hr

Other

Medical, Retirement, PTO

Re-posted 26 days ago


Job description

Responsibilities
  • Develop and enhance the machine learning platform to manage the full model life cycle.
  • Build frameworks and tools to enable the data science team in developing and enhancing predictive models, and support scalable real‑time predictions in production.
  • Design and implement data‑engineering solutions for model training.
  • Expand NLP capabilities with advanced analysis techniques to improve text understanding.
  • Design and implement high‑performance, scalable services and applications.
  • Collaborate with team members to create integrated solutions and ensure timely delivery of quality software and documentation.
  • Understand and adhere to development standards for consistency across teams.
  • Perform in‑depth technical and performance analyses to troubleshoot production issues.
  • Monitor and maintain production systems for reliability and efficiency.
Minimum Requirements
  • Bachelor’s degree in Computer Science or a related field;Master’s degree preferred.
  • 7+ years of professional experience writing Python or Java code, with at least 3years building data platforms.
  • Expert proficiency with SQL and NLP.
  • Seasoned practitioner of engineering best practices such as CI/CD and automated testing.
  • Comfortable working in a Linux environment.
  • Passion for exploring, applying, and following the evolution of cutting‑edge technologies related to AI, machine learning, NLP, and large‑scale data processing.
  • Professional experience with MLOps, Docker, Kubernetes, relational databases (PostgreSQL preferred), Kafka, REST API design, and microservices application architectures.
  • Experience with public cloud solutions, such as AWS or GCP.
  • Proven track record of successful delivery of progressively complex technical projects.
  • Coaching and mentoring junior engineers.
  • Team‑player DNA with a positive, self‑starter attitude.
  • Attention to detail, highly organized, with an absolute focus on quality of work.
Preferred Requirements
  • Familiarity with ClearML, Triton, PyTorch, and TensorFlow.
  • Familiarity with statistics and the healthcare domain.
  • Proven expertise in successful large project/build management and execution.
Benefits
  • Competitive total rewards (base salary + bonus, if applicable).
  • Customizable benefits package (three medical plans with Health Savings Account company match).
  • Generous paid time off: 3weeks + 13 paid holidays for non‑exempt team members; flexible time off for exempt team members + 13 paid holidays.
  • Paid parental leave (including maternity and paternity leave).
  • Education assistance opportunities and free LinkedIn Learning access.
  • Free mental health and family planning programs, including adoption assistance and fertility support.
  • 401(k) program with company match.
  • Pet insurance.
  • Employee resource groups.
Equal Opportunity Statement

Waystar is proud to be an equal‑opportunity workplace. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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