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Executive Data Science Jobs in Utah (NOW HIRING)

Data Scientist

Lehi, UT

$120K - $145K/yr

You will be part of a broader data science function, partnering closely with product, engineering ... and Executive / leadership-based positions on a full time and consulting basis. If you're ...

Data Engineer IV - AI & Data Products

Draper, UT · On-site

$107K - $128.50K/yr

Collaborate with business leaders, Executives, Data Scientists, BI Analytics, Product, Engineering, and other operational departments to ensure successful delivery of data solutions and data assets ...

... the Data Science function, addressing strategic and operational questions facing the global ... executive-level management. • Provide analysis and information supporting various campaigns ...

Summary Awardco is looking for a results-driven, hands-on leader to build and lead the Data Science ... Create presentations, visualizations, and reports and present findings to executive-level ...

Summary Awardco is looking for a results-driven, hands-on leader to build and lead the Data Science ... Create presentations, visualizations, and reports and present findings to executive-level ...

... science, statistics, and predictive modeling. You will collaborate cross-functionally with teams ... and Executive / leadership-based positions on a full time and consulting basis. If you're ...

AI Data Architect

Salt Lake City, UT · On-site +1

$83.20K - $178.80K/yr

Partner with AI engineers, data scientists, and business leaders to align data architecture with ... Experience presenting and defending architectural decisions with senior executives and regulators.

Partner with data analysts and data scientists to enable insights, and develop production-grade ... and Executive / leadership-based positions on a full time and consulting basis. If you're ...

Sr. Data Engineer

Salt Lake City, UT · On-site

$110.80K - $133.10K/yr

Partner with data analysts and data scientists to enable insights, and develop production-grade ... and Executive / leadership-based positions on a full time and consulting basis. If you're ...

Manage and mentor a team of data science engineers and analysts, ensuring a balance of technical ... Translate data into compelling narratives and actionable recommendations for executives and multi ...

Sr Data Engineer

Lehi, UT · On-site

$107.50K - $129.10K/yr

Collaboration with experts across finance, engineering, data science, programming, and UI/UX will ... executives. * Design, develop, and maintain data integration pipelines using APIs to extract ...

Sr Data Engineer

Lehi, UT

$107.50K - $129.10K/yr

Collaboration with experts across finance, engineering, data science, programming, and UI/UX will ... executives. * Design, develop, and maintain data integration pipelines using APIs to extract ...

Sr Data Engineer

Lehi, UT · On-site

$107.50K - $129.10K/yr

Collaboration with experts across finance, engineering, data science, programming, and UI/UX will ... executives. * Design, develop, and maintain data integration pipelines using APIs to extract ...

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Showing results 1-20

Executive Data Science information

What are the key skills and qualifications needed to thrive as an Executive Data Scientist, and why are they important?

To thrive as an Executive Data Scientist, you need deep expertise in statistics, machine learning, and data analysis, typically supported by an advanced degree in a quantitative field. Proficiency with data platforms (such as SQL, Hadoop, or Spark), programming languages (like Python or R), and familiarity with data visualization tools is essential, along with certifications like Certified Analytics Professional (CAP) being advantageous. Strategic vision, leadership, and the ability to communicate complex insights to non-technical stakeholders are vital soft skills. These competencies drive effective data-driven decision-making and ensure alignment between analytics initiatives and business objectives.

How does an Executive Data Scientist typically collaborate with other departments to drive data-driven decision making?

Executive Data Scientists frequently work cross-functionally with departments such as marketing, product, finance, and operations to identify key business challenges and opportunities where data can provide strategic insights. They lead or advise interdisciplinary teams, translate complex analytics into actionable recommendations, and often present findings to senior leadership or stakeholders. Building strong relationships and understanding business objectives are crucial, as these collaborations enable the alignment of data science initiatives with organizational goals.

What is Executive Data Science?

Executive Data Science refers to the leadership and management of data science initiatives within an organization. Professionals in this role are responsible for setting the strategic direction for data-driven projects, overseeing data teams, and ensuring that data science efforts align with business goals. They bridge the gap between technical teams and executives, translating analytical insights into actionable business strategies. Typically, Executive Data Scientists have a blend of technical expertise and strong business acumen, enabling them to make high-level decisions that impact the organization’s growth and innovation.

What is the difference between Executive Data Science vs Data Scientist?

AspectExecutive Data ScienceData Scientist
CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentStrategic, leadership-focused, often in executive officesHands-on data analysis, modeling, coding in technical teams
Employer & Industry UsageSenior roles in tech, finance, consulting, and large organizationsTech companies, startups, research institutions, various industries

Executive Data Science roles focus on strategic decision-making, leadership, and overseeing data initiatives, while Data Scientists are primarily involved in technical data analysis and modeling. Both roles require strong analytical skills, but Executive Data Scientists combine technical expertise with leadership responsibilities.

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 are popular job titles related to Executive Data Science jobs in Utah? For Executive Data Science jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Executive Data Science jobs? Cities in Utah with the most Executive Data Science job openings:

Data Scientist

KēSTA I.T.

Lehi, UT

$120K - $145K/yr

Full-time

Posted 19 days ago


Job description

Come build, innovate, disrupt, and thrive!


KēSTA I.T. is actively seeking multiple mid-level Data Scientists for immediate full-time opportunities with our industry leading client.


Are you on the lookout for a unique career opportunity that offers leadership, responsibility, and the chance to make a significant impact? If you're eager to contribute to a thriving and stable organization while maintaining your confidentiality, continue reading.



ABOUT THE ROLE

We are seeking an experienced Data Scientist to help solve complex, data-driven challenges within the healthcare space. This role focuses on applying machine learning and predictive modeling techniques to improve operational performance and decision-making.

You will be part of a broader data science function, partnering closely with product, engineering, and operational teams to analyze data, run experiments, and expand the use of advanced analytics across a portfolio of solutions. The goal is to translate data into actionable insights that drive measurable outcomes for healthcare organizations.

This role is ideal for someone who can independently navigate problem-solving, pays close attention to detail, and thrives in a fast-paced, collaborative environment. Exposure to healthcare revenue cycle processes is highly valuable.


RESPONSIBILITIES

  • Collaborate with data science peers, engineering, product, and operations teams to design, test, and deploy machine learning models that deliver operational impact
  • Partner with engineering teams to acquire, clean, and structure data, and embed analytics-driven functionality into product features
  • Explore and develop new applications of machine learning within healthcare use cases, producing data-backed insights to inform product strategy
  • Translate real-world business and healthcare challenges into mathematical and statistical frameworks
  • Work cross-functionally with product, marketing, and commercial teams to incorporate customer feedback and support broader business objectives
  • Perform exploratory data analysis, generate hypotheses aligned to business goals, test models, and scale solutions across large datasets while validating performance
  • Clearly organize and communicate findings, insights, and root causes to both technical and non-technical stakeholders


QUALIFICATIONS

  • Solid understanding of statistical analysis and machine learning techniques, including classification, regression, clustering, dimensionality reduction, and multivariate methods
  • Experience evaluating model performance using techniques such as cross-validation, holdout validation, and related methodologies
  • Proficiency in predictive modeling using Python and/or R
  • Experience working with relational databases (e.g., SQL-based systems)


ADDITIONAL REQUIREMENTS

  • Ability to quickly learn new concepts and manage multiple priorities in a dynamic environment
  • Strong communication and presentation skills, with the ability to engage stakeholders across technical and business functions
  • Comfortable working in ambiguous or evolving problem spaces where adaptability is critical
  • Effective interpersonal skills and a collaborative mindset
  • Proficiency with standard business tools (e.g., Microsoft Office or equivalent)
  • Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field


Preferred:

  • Experience or exposure to healthcare systems, business operations, or revenue cycle workflows
  • Interest in or familiarity with medical informatics


About KēSTA I.T.:


Our name says it all; KēSTA I.T. (Keys-to-I.T.) AND our people are our keys to our success!


KēSTA I.T. is a premier Utah-based technical staffing and consulting services firm. We specialize in temporary and permanent placement of Software, Hardware, Network, Cloud, CRM/ERP, Data, End-User support, Web and Executive / leadership-based positions on a full time and consulting basis. If you're interested in a role where top performance is rewarded, personal time is valued, and excellence is demanded at every level we want to talk to you today!


Where do you want to go? We've got the keys! ~ KēSTA I.T.


WWW.KeSTAIT.COM