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Data Science Manager Jobs in Midvale, UT (NOW HIRING)

... science, statistics, and predictive modeling. You will collaborate cross-functionally with teams ... Demonstrated ability to learn quickly, manage multiple priorities, and operate effectively in a ...

... Scientists and AI use cases/agents. * Create and maintain data domain assets (pipelines/ETLs ... Manage business glossary in collaboration with business teams and build/maintain technical metadata ...

Responsibilities : • Works closely with Application Engineering, Product Management, and ... • Master of Science degree or higher in the fields of Computer Science, Statistics, or ...

On the business side, this role will work with the Operations teams to produce management ... Bachelor's degree or higher in computer science, economics, mathematics, statistics or a related ...

On the business side, this role will work with the Operations teams to produce management ... Bachelor's degree or higher in computer science, economics, mathematics, statistics or a related ...

... Data Science, and Data Governance - Architecting and implementing cloud-based solutions meeting industry standards Travel Requirements Up to 60% Job Posting End Date The salary range for this ...

Data Engineer

Draper, UT

$100K - $114K/yr

This position partners closely with analysts and data scientists to transform raw data into ... We specialize in temporary and permanent placement of Software, Hardware, Network, Cloud, CRM/ERP, ...

Senior Data Analyst

Murray, UT · On-site +1

$80K - $101K/yr

Effectively manage stakeholder relationships, expectations, and delivery timelines for and around ... Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field ...

As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships, and translate complex business challenges into AI-driven strategies and solutions. This role offers ...

Support existing data science and modeling teams by aligning platform capabilities to business and ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

In this role, you will collaborate closely with Data Scientists, Software Engineers, AI Engineers, and Product Managers as well as other departments including Marketing and Sales. Sounds great! What ...

Senior Data Engineer

Lehi, UT

$99K - $135K/yr

In this role, you will collaborate closely with Data Scientists, Software Engineers, AI Engineers, and Product Managers as well as other departments including Marketing and Sales. Sounds great! What ...

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Data Science Manager information

See Midvale, UT salary details

$29.2K

$91.6K

$162.2K

How much do data science manager jobs pay per year?

As of Jun 18, 2026, the average yearly pay for data science manager in Midvale, UT is $91,618.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,200.00 and $118,400.00 per year, depending on experience, location, and employer.

What is the hottest job of the 21st century?

Data Science Manager is considered one of the most in-demand roles of the 21st century due to the rapid growth of data-driven decision making. These professionals oversee data teams, develop analytics strategies, and require skills in programming, statistics, and leadership. The role often involves working with tools like Python, R, and cloud platforms, and staying current with emerging technologies is essential.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

What is the salary of a data science manager?

The salary of a data science manager typically ranges from $100,000 to $160,000 annually, depending on experience, location, and company size. Senior managers or those in high-cost areas may earn higher compensation, often including bonuses and stock options.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What cities near Midvale, UT are hiring for Data Science Manager jobs? Cities near Midvale, UT with the most Data Science Manager job openings:
Infographic showing various Data Science Manager job openings in Midvale, UT as of June 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $91,618 per year, or $44 per hour.

Sr. Data Scientist

KēSTA I.T.

Lehi, UT

$150K - $185K/yr

Full-time

Posted 10 days ago


Job description

Come build, innovate, disrupt, and thrive!


KēSTA I.T. is actively seeking multiple Senior Data Scientists for an immediate permanent need.


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 a Sr. Data Scientist with experience supporting software platforms in the healthcare domain. This role centers on addressing complex, data-driven challenges by applying techniques from computer science, statistics, and predictive modeling.


You will collaborate cross-functionally with teams spanning customer-facing functions, engineering, and research to analyze data, run experiments, and expand the impact of machine learning and analytics across a suite of products. The objective is to enhance intelligent features that deliver timely, actionable insights to healthcare organizations and improve overall outcomes.

This position is well-suited for someone who is self-directed, detail-oriented, and energized by working in a fast-moving, team-oriented environment.


RESPONSIBILITIES

  • Partner with engineering, product, and operational stakeholders to design, test, and deploy machine learning and analytical solutions that leverage system data and user behavior
  • Collaborate with development teams to collect, structure, and process data, while integrating analytics-driven capabilities into core product offerings
  • Develop and evaluate innovative applications of machine learning within healthcare use cases, delivering measurable and data-backed insights to inform product direction
  • Convert real-world business and healthcare challenges into structured mathematical and statistical models
  • Work cross-functionally with product, marketing, and commercial teams to incorporate customer feedback and support go-to-market initiatives
  • Conduct exploratory analysis, form hypotheses aligned to business objectives, test models, and scale solutions across large datasets while ensuring accuracy and validity
  • Identify, analyze, and clearly communicate the root causes of both successes and issues to technical and non-technical audiences


QUALIFICATIONS

  • Strong foundation in statistical modeling and machine learning methods, including classification, regression, clustering, dimensionality reduction, and multivariate analysis
  • Experience evaluating model performance using techniques such as cross-validation, holdout validation, and related approaches
  • Understanding of algorithmic complexity and performance considerations at scale
  • Proficiency in predictive modeling using Python and/or R
  • Experience working with relational databases (e.g., SQL-based systems)
  • Ability to program in at least one general-purpose language such as C# or Java
  • Demonstrated ability to learn quickly, manage multiple priorities, and operate effectively in a dynamic environment
  • Strong communication skills, including the ability to present insights clearly across technical and business audiences
  • Comfortable navigating ambiguity and contributing in evolving or less-defined problem spaces
  • Excellent analytical thinking, problem-solving, and written communication skills
  • Proficiency with common productivity tools (e.g., Microsoft Office or equivalent)
  • High attention to detail


Preferred:

  • Advanced degree (MS or higher) in Computer Science, Statistics, Mathematics, or a related discipline
  • Exposure to or interest in healthcare data, clinical systems, or 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