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Data Science And Analytics Jobs in Draper, UT (NOW HIRING)

Jobtailor

Data Scientist

Lehi, UT · On-site

$90 - $130/hr

Document analytical approaches and communicate findings * Support deployment and ongoing improvement of data science solutions Requirements * 2-4 years' experience in data science, analytics ...

Angel Studios

Data Science

Provo, UT · On-site

$110K - $130K/yr

You'll own the analytical foundation that makes our recommendation system measurable, improvable ... This is a data science role, not an ML engineering role. Day one is about analytical rigor: metrics ...

Varsity Tutors

Data Science Tutor

Provo, UT · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Adobe

Data Science Engineer

Lehi, UT

$107K - $129K/yr

Analyze business or financial data to provide insights to the finance leadership team on process & system automation opportunities * Analyze data toidentifyor resolve operational problems to create ...

Omnicom

Data Analyst

Salt Lake City, UT · On-site

Data Science and Analytics MRM is part of the Omnicom Precision Marketing activation practice. This practice integrates CRM platform expertise, journey management, and first-party data capabilities ...

Omnicom

Data Analyst

Salt Lake City, UT · Hybrid

Data Science and Analytics MRM is part of theOmnicomPrecision Marketing activation practice.This practice integrates CRM platform expertise, journey management, and first-party data capabilities with ...

Jobtailor

Data Scientist

Riverton, UT · On-site

$140 - $210/hr

Analyze and protect data, including troubleshooting * Follow data science best practices * Fulfill the technical lead role for data science solutions * Respond to escalated incidents and engage ...

New

CardWorks

Director, Data Science

South Jordan, UT · On-site

The Director, Data Science - Competitive Intelligence, AI Insights & Strategic Analytics is a highly visible leadership role responsible for transforming internal, external, structured, and ...

MasterCard

Data Scientist I

Holladay, UT · On-site

Role As an individual contributor working within a growing data science team, you will take responsibility for developing market leading, innovative, analytical open banking solutions. Focused in the ...

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Showing results 1-20

All JobsData Science And Analytics JobsData Science And Analytics Jobs in Draper, UT

Data Science And Analytics information

See Draper, UT salary details

$35.1K

$114.7K

$183.7K

How much do data science and analytics jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data science and analytics in Draper, UT is $114,741.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,100.00 and $127,100.00 per year, depending on experience, location, and employer.

What is data science and analytics?

Data Science and Analytics refer to the fields that focus on extracting meaningful insights from large and complex data sets. Data Science combines statistics, computer science, and domain knowledge to analyze data, build predictive models, and support data-driven decision-making. Analytics, which is a core part of data science, involves examining data to discover trends, patterns, and correlations that can help organizations solve problems or improve processes. Professionals in these fields use tools such as Python, R, SQL, and machine learning algorithms to analyze data and communicate findings to stakeholders.

What are some common challenges faced by data science and analytics professionals when working with cross-functional teams?

Data science and analytics professionals often collaborate with colleagues from diverse backgrounds such as engineering, marketing, and business operations. One common challenge is translating complex analytical findings into actionable insights that non-technical stakeholders can easily understand. Additionally, aligning project objectives and timelines across teams can require strong communication and project management skills. Overcoming these challenges is essential for ensuring that data-driven solutions are effectively implemented and contribute to organizational goals.

What are the key skills and qualifications needed to thrive as a data science and analytics professional, and why are they important?

To thrive in Data Science and Analytics, you need strong skills in statistics, data manipulation, and programming, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools like Python, R, SQL, and data visualization platforms such as Tableau, along with knowledge of machine learning frameworks, is highly valued. Strong problem-solving ability, critical thinking, and effective communication skills help translate complex data findings into actionable business insights. These skills are crucial for turning raw data into strategic decisions that drive organizational success.

What is the difference between Data Science And Analytics vs Data Analysis?

AspectData Science And AnalyticsData Analysis
Required SkillsStatistical modeling, programming, machine learningData cleaning, descriptive statistics, visualization
Work EnvironmentCross-functional teams, R&D, predictive modelingBusiness reporting, dashboards, ad hoc analysis
Tools & TechnologiesPython, R, SQL, Hadoop, SparkExcel, SQL, Tableau, Power BI
Industry UsageTech, finance, healthcare, marketingRetail, finance, healthcare, operations

Data Science And Analytics involves advanced techniques like machine learning and predictive modeling, often requiring programming skills. Data Analysis focuses on interpreting existing data through descriptive statistics and visualization for decision-making. Both roles are essential but differ in complexity and scope.

What can I do with data science and analytics?

Data science and analytics professionals analyze large datasets to extract insights, support decision-making, and improve business processes. They use tools like Python, R, and SQL, and often work in environments that require strong statistical and programming skills. These roles can lead to careers in industries such as finance, healthcare, marketing, and technology, with opportunities for advancement and specialization.

What jobs can I get with a data science and analytics degree?

A degree in data science and analytics can lead to roles such as data analyst, data scientist, business intelligence analyst, machine learning engineer, and data engineer. These positions typically require skills in programming languages like Python or R, data visualization tools, and statistical analysis, often with certifications or experience in big data platforms and SQL. Job responsibilities include interpreting complex data, building predictive models, and supporting data-driven decision-making.

What cities near Draper, UT are hiring for Data Science And Analytics jobs?

Cities near Draper, UT with the most Data Science And Analytics job openings:

Data Science And Analytics jobs near you
Infographic showing various Data Science And Analytics job openings in Draper, UT as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $114,741 per year, or $55.2 per hour.

Data Scientist

Jobtailor

Lehi, UT • On-site

$90 - $130/hr

Other

Posted 7 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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