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New Grad Data Scientist Jobs in Utah (NOW HIRING)

Data Scientist

Lehi, UT · On-site

$90 - $130/hr

Evaluate new data sources and analytical methods * Document analytical approaches and communicate findings * Support deployment and ongoing improvement of data science solutions Requirements * 2-4 ...

Title and Summary Data Scientist I Who is Mastercard? As a global technology company our mission at ... For example, by investigating/proposing new data sources, encouraging cross team working, managing ...

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... Workson groundbreaking new applications of machine learning and analytic technology toHealthcare ...

Data Scientist

Lehi, UT · On-site

$90 - $120/hr

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... Works on groundbreaking new applications of machine learning and analytic technology to Healthcare, ...

Lead Data Scientist

Draper, UT · On-site +1

$144K - $250K/yr

The Lead Data Scientist is pivotal in generating insights and supporting the enterprise's data ... Establishing and executing the framework for engaging enterprise partners to plan new AI solutions ...

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... Workson groundbreaking new applications of machine learning and analytic technology toHealthcare ...

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... Works on groundbreaking new applications of machine learning and analytic technology to Healthcare, ...

Title and Summary Senior Data Scientist Who is Mastercard? As a global technology company our ... For example, by investigating/proposing new data sources, encouraging cross team working, managing ...

We are seeking a dedicated Data Scientist III with a passion for statistics, machine learning, and ... Design and implement experiments and processes for evaluating business performance, new products ...

We are seeking a dedicated Data Scientist III with a passion for statistics, machine learning, and ... Design and implement experiments and processes for evaluating business performance, new products ...

We are seeking a dedicated Data Scientist III with a passion for statistics, machine learning, and ... new criteria and/or strategies.* **Experimental Design and Evaluation:** + Design and implement ...

Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, evaluating and recommending new technologies and methodologies. * Contribute to the strategic ...

Senior Data Scientist

Lehi, UT · On-site

$180 - $250/hr

Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, evaluating and recommending new technologies and methodologies. * Contribute to the strategic ...

Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, evaluating and recommending new technologies and methodologies. * Contribute to the strategic ...

Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, evaluating and recommending new technologies and methodologies. * Contribute to the strategic ...

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify ... is used to determine new hire rates/salaries and takes into consideration multiple factors ...

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Showing results 1-20

New Grad Data Scientist information

See Utah salary details

$34.1K

$111.7K

$178.9K

How much do new grad data scientist jobs pay per year?

As of Aug 28, 2026, the average yearly pay for new grad data scientist in Utah is $111,737.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,700.00 and $123,800.00 per year, depending on experience, location, and employer.

What is a new grad data scientist?

New Grad Data Scientists are recent graduates who have completed a degree in a related field such as computer science, statistics, mathematics, or engineering, and have started their careers in data science. They apply statistical analysis, machine learning, and data visualization techniques to help organizations make data-driven decisions. Typically, new grads in these roles work closely with experienced data scientists, learning best practices and gaining practical experience while contributing to real-world projects. Employers generally expect them to have experience with programming languages like Python or R, and familiarity with data analysis tools and concepts.

What are the key skills and qualifications needed to thrive as a new grad data scientist?

To thrive as a New Grad Data Scientist, you need a solid background in statistics, mathematics, and programming—typically with a degree in a relevant field such as computer science or data science. Familiarity with tools and languages like Python, R, SQL, and experience with machine learning frameworks or data visualization platforms is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you interpret data and convey insights to stakeholders. These competencies are crucial for transforming data into actionable business solutions and contributing to data-driven decision-making.

What are some common challenges new grad data scientists face when transitioning from academia to industry?

New grad data scientists often find that real-world data is messier and less structured than academic datasets, requiring strong data cleaning and wrangling skills. Additionally, they may need to adapt to working within cross-functional teams, collaborating closely with engineers, product managers, and business stakeholders to align their analyses with organizational goals. Prioritizing impactful projects under tight deadlines and communicating complex findings in a clear, actionable manner are also key challenges. Building these practical skills early can significantly accelerate both learning and career advancement.

What is the difference between New Grad Data Scientist vs Data Analyst?

AspectNew Grad Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Employer & Industry UsageUsed across industries for predictive modeling and researchUsed for reporting, data visualization, and descriptive analysis

New Grad Data Scientists typically focus on building models and advanced analytics, requiring knowledge of programming and machine learning. Data Analysts mainly handle data reporting and visualization, often using tools like Excel and SQL. Both roles are entry-level but differ in technical depth and project scope, with Data Scientists often engaging in more complex data modeling tasks.

What are popular job titles related to New Grad Data Scientist jobs in Utah?

For New Grad Data Scientist jobs in Utah, the most frequently searched job titles are:

What cities in Utah are hiring for New Grad Data Scientist jobs?

Cities in Utah with the most New Grad Data Scientist job openings:

Infographic showing various New Grad Data Scientist 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 $111,737 per year, or $53.7 per hour.

Data Scientist

Lehi, UT • On-site

$90 - $130/hr

Other

Posted 12 days ago


Job description

  • Analyze structured and unstructured datasets to identify trends and answer business questions
  • Develop, test, and refine statistical and analytical models
  • Contribute to analytics capabilities aligned with product roadmaps, customer needs, and business use cases
  • Partner with data warehouse engineers, data engineers, product teams, subject-matter experts, and stakeholders on end-to-end analytical solutions
  • Prepare, clean, transform, and validate data for analysis, modeling, reporting, and experimentation
  • Evaluate new data sources and analytical methods
  • Document analytical approaches and communicate findings
  • Support deployment and ongoing improvement of data science solutions
Requirements
  • 2–4 years’ experience in data science, analytics, statistical modeling, or a related field, including relevant internships, academic projects, or applied professional experience
  • Working knowledge of Python and SQL
  • Understanding of statistical methods, model evaluation, and analytical problem-solving
  • Experience identifying patterns, testing hypotheses, and communicating actionable findings from datasets
  • Familiarity with database concepts, data warehousing, or data-processing workflows
  • Strong written and verbal communication skills
  • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related field, or equivalent practical experience
  • Coursework, academic projects, certifications, or early professional experience involving artificial intelligence, machine learning, or generative AI
  • Experience with pandas, NumPy, scikit-learn, or similar analytical tools
  • Exposure to AI or machine-learning tools, frameworks, APIs, or cloud-based AI services
  • Experience applying AI or machine learning to practical business, product, or customer use cases
  • Exposure to R or other data science and statistical tools
  • Experience with Power BI, Tableau, or MicroStrategy
  • Familiarity with cloud data platforms, distributed data-processing environments, or production analytics workflows
Core Competencies

Demonstrates expertise in data analysis, statistical modeling, and machine learning, with proficiency in Python and SQL. Capable of collaborating with cross-functional teams to develop and implement data-driven solutions that address business needs.

Highest-signal resume keywords
  • Data Analysis
  • Statistical Modeling
  • Python Programming
  • SQL Proficiency
  • Machine Learning
ATS Optimization Keywords Hard Skills
  • Data Science
  • Statistical Methods
  • Model Evaluation
  • Data Cleaning
  • Data Transformation
  • Pattern Identification
  • Hypothesis Testing
  • Analytical Problem-Solving
  • Data Visualization
  • Cloud-Based AI Services
Soft Skills
  • Strong Communication Skills
Industry Keywords
  • Data Warehousing
  • Data Processing Workflows
  • Distributed Data Processing
  • Business Use Cases
  • Analytics Capabilities
Tools & Technologies
  • Pandas
  • NumPy
  • Scikit-Learn
  • Power BI
  • Tableau
  • MicroStrategy
  • AI Tools
  • Machine Learning Frameworks
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