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

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 ...

Stay current with emerging data science, analytics, and artificial intelligence methodologies to enhance institutional research capabilities What qualifies you for this role: Required * A firm ...

Sr. Data Scientist

Provo, UT · On-site

$118K - $154K/yr

Stay current with emerging data science, analytics, and artificial intelligence methodologies to enhance institutional research capabilities What qualifies you for this role: Required * A firm ...

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 ...

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

Data Engineer

Provo, UT · On-site

$109K - $131K/yr

Responsibilities : • Design, build, and maintain scalable and reliable data pipelines through ELT/ETL extraction methods. • Collaborate with data scientists, analysts, and other stakeholders to ...

Lead Data Scientist

Draper, UT · On-site +1

$138K - $272K/yr

... analytics methodologies. Preferred Qualifications * Master's Degree or PhD in Statistics, Mathematics, Computer Science, Data Science, Engineering, Economics, or other quantitative fields * Advanced ...

Several years of data science experience are preferred. Requirements You need to be: Independent ... First, and most importantly, is the design and analysis of experiments. We run a substantial number ...

... analytical, and possesses an entrepreneurial mindset. Role - Lead, mentor and grow the data science team and tech stack focused on developing production-grade services and capabilities - Plan and ...

Our team is dedicated to delivering advanced data analytics and insights to empower healthcare professionals. Responsibilities: * Collaborate with the data science team to understand, enhance, and ...

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Showing results 1-20

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 Jul 29, 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 work can I do with data science?

Data science and analytics professionals analyze data to uncover insights, build predictive models, and support decision-making across various industries. They work with tools like Python, R, and SQL, and often need skills in statistics, data visualization, and machine learning to perform tasks such as data cleaning, reporting, and developing algorithms.

Is 40 too late for data science?

Data science and analytics roles value skills and experience over age; many professionals transition into the field later in life. Gaining proficiency in programming languages like Python or R, and understanding data tools, can help offset age concerns. Continuous learning and relevant certifications can improve job prospects regardless of age.

What are data science and analytics jobs?

Data science and analytics jobs involve analyzing large datasets to extract insights, support decision-making, and solve business problems. These roles typically require skills in programming, statistics, and tools like Python, R, or SQL, and often involve creating reports or predictive models. Professionals in these fields work in various industries such as finance, healthcare, and technology, with responsibilities that include data cleaning, visualization, and modeling.

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 are 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 can I do with a data science and analytics degree?

A data science and analytics degree prepares individuals for roles such as data analyst, data scientist, business intelligence analyst, or machine learning engineer. Graduates can work in industries like finance, healthcare, marketing, and technology, utilizing skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau.

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 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 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:
Infographic showing various Data Science And Analytics job openings in Draper, UT as of July 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $114,741 per year, or $55.2 per hour.

Manager, Data Science & Modeling

Cardworks

South Jordan, UT

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


CardWorks rating

9.1

Company rating: 9.1 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

1st of 21 rated payment service providers


Job description

Join our team and build your career with momentum as we champion your growth, elevate your ideas and engage you in purpose-driven work that makes a real difference every day.


Who we are

Founded in 1997, Merrick Bank is an FDIC-insured financial institution headquartered in South Jordan, Utah, with over $10 billion in assets. A wholly owned subsidiary of CardWorks Financial Group, Merrick Bank serves roughly five million cardmembers and more than 100,000 merchant customers nationwide.


What we do

We provide credit cards, recreational loans, deposit accounts, merchant services and bank sponsorships to consumers and businesses. As a leader in non-prime lending and merchant acquiring, we combine innovative technology with data-driven insights to help underserved consumers build and strengthen credit while delivering integrated, scalable payment solutions for businesses.

Merrick Bank ranks among the top 20 FDIC-insured credit card issuers in the U.S. and among the top 15 merchant acquirers by transaction volume.


Data Scientists build and maintain machine learning and statistical models that address key business challenges across the bank. The role involves framing business problems mathematically and applying advanced analytical techniques to generate solutions.

Data Science is a technical discipline requiring strong skills in software engineering, statistics, and modern data infrastructure.

Essential Functions:

  • Develop and sustain predictive modeling solutions across Credit Risk, Balance/Revenue forecasting, Direct Mail Response, and accountlevel valuation domains.
  • Provide endtoend ownership of the model development lifecycle, including problem framing, conceptual design, data analysis, model construction, validation, documentation, deployment, and user enablement.
  • Administer a rigorous model monitoring framework to ensure models remain accurate, stable, and refreshed at appropriate intervals. Investigate performance issues, identify root causes, and recommend appropriate corrective actions when models do not perform as expected.
  • Communicate insights and recommendations to senior leadership and contribute to strategic business planning.
  • Proactively develop additional ad hoc reporting and data visualizations to support modeling initiatives and decisionmaking.
  • Serve as subject matter expert for the model attributes and performance, influencing strategy and providing ongoing support.
  • Offer statistical guidance in the design of experiments aimed at optimizing Product, Marketing, and Credit strategies.

Compliance with Laws and Regulations

  • Responsible for complying with all of the Bank's internal control policies and procedures.
  • Responsible for understanding and complying with all laws and regulations to which the Bank is subject.
  • Responsible for communicating problems in operations, noncompliance with the code of conduct, noncompliance with laws and regulations, policy violations, or illegal acts.

Additional Responsibilities

  • Perform other duties as assigned by senior management.
  • Maintain ethical standards, judgment, and confidentiality in all matters.

Requirements for Success:

Education & Experience:

  • Bachelor's degree in quantitative fields (e.g., Data Science/Analytics, Statistics/Applied Math, Economics, Engineering or Sciences) is required.
  • Advance Degree (Master's or PhD) in quantitative fields (e.g., Data Science/Analytics, Statistics/Applied Math, Economics, Engineering or Sciences) is preferred.
  • Three (3) years of hands-on experience with a bachelor's degree, or two (2) year's hands-on experience with a master's degree, in quantitative fields (same as above).


Knowledge, Skills and Capabilities:

  • Profound expertise with SQL and at least one scripting language such as Python, R, or Shell.
  • Proficiency with Microsoft Office tools including Excel, Word and PowerPoint.
  • Strong verbal, written, and interpersonal communication skills.
  • Proven ability to collaborate effectively within crossfunctional teams.
  • Ability to navigate ambiguity and work handson with complex business and technical challenges.
  • Strength in problem-solving, critical thinking, teamwork, attention to detail, and organization.
  • High curiosity and learning agility, with a strong sense of initiative and a willingness to roll up one's sleeves.

#INDHP1


Why join us

We believe in putting people first by supporting our customers, employees and our partners while creating opportunities for everyone to reach their potential. From fostering work-life balance to rewarding good work and innovative ideas, we invest in what matters most, our people.

At Merrick Bank, you'll be part of a collaborative, customer-focused team where you can grow your career while making a meaningful impact.


Our Employee Value Proposition

  • Competitive Pay, including a Bonus Target or Variable Pay Incentive Program
  • Benefits Package -Medical, Dental, and Vision (plus much more)
  • 401(k) Plan with Company Match
  • Short- & Long-Term Disability
  • Wellness Programs
  • Group Life and AD&D Insurance
  • Paid Vacation, Sick Days and bank Holidays
  • Employee Engagement Activities including Employee Appreciation Day, DEI Employee Resource Groups, Corporate Social Responsibility, Service Recognition

We offer a total rewards package comprised of a competitive base rate of pay, variable pay incentive programs based on the role, and a comprehensive benefit suite. Offered rates of pay are determined based on job-related knowledge, relevant experience, skills, certifications, and geographic location.


We are proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to age, race, color, sex, or gender identity/expression (including pregnancy, childbirth, transgender status, or sexual orientation), religion or creed, ancestry, citizenship, national origin, disability, military or veteran status, marital status, genetic information, or any other characteristic protected by applicable law.

We do not tolerate discrimination, harassment, or retaliation. Employment decisions are based solely on qualifications, merit, and business needs. Everyone is welcome here, and we hire based on your ability to do the job, not any protected characteristics.

If you need help or reasonable accommodation during the application or hiring process, please let your TA Partner know.


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