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Manager Data Science Analytics Jobs in Utah (NOW HIRING)

Senior Data Scientist

Lehi, UT

  • Medical

  • Retirement

  • PTO

... analysis and experiments to product, service, and business managers. Incumbents whose primary role ... Stay abreast of the latest advancements in data science, machine learning, and artificial ...

Senior Data Scientist

Lehi, UT · On-site

  • Medical

  • Retirement

  • PTO

... analysis and experiments to product, service, and business managers. Incumbents whose primary role ... Stay abreast of the latest advancements in data science, machine learning, and artificial ...

Senior Data Scientist

Lehi, UT · On-site

  • Medical

  • Retirement

  • PTO

... analysis and experiments to product, service, and business managers. Incumbents whose primary role ... Stay abreast of the latest advancements in data science, machine learning, and artificial ...

Senior Data Scientist

Lehi, UT · On-site

  • Medical

  • Retirement

  • PTO

... analysis and experiments to product, service, and business managers. Incumbents whose primary role ... Stay abreast of the latest advancements in data science, machine learning, and artificial ...

New

Requires full Data Science life cycle development experience within various analytical ... Must be able to work with users from all levels of management in developing and implement ...

New

VP, Data Sciences

Lehi, UT · On-site

  • Medical

  • Retirement

  • PTO

Managing budgets for data management and analytics initiatives, ensuring optimal resource allocation and ROI. --- WHAT YOU'LL NEED Education: Bachelor's degree in Computer Science, Data Science ...

VP, Data Sciences

Lehi, UT · On-site

  • Medical

  • Retirement

  • PTO

Managing budgets for data management and analytics initiatives, ensuring optimal resource allocation and ROI. --- WHAT YOU'LL NEED Education: Bachelor's degree in Computer Science, Data Science ...

VP, Data Sciences

Lehi, UT · On-site

  • Medical

  • Retirement

  • PTO

Managing budgets for data management and analytics initiatives, ensuring optimal resource allocation and ROI. WHAT YOU'LL NEED * **Education:** Bachelor's degree in Computer Science, Data Science ...

Data Scientist III

West Valley City, UT · On-site

$90 - $120/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Demonstrated ability to take data science projects from development to production. * Skilled analyst who produces regular reporting content for key stakeholder meetings, responds to ad hoc analysis ...

Data Scientist III

West Valley City, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Demonstrated ability to take data science projects from development to production. * Skilled analyst who produces regular reporting content for key stakeholder meetings, responds to ad hoc analysis ...

Sr Manager, Product Analytics

Lehi, UT

$118K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

About This Role We are seeking a Sr Manager, Product Analytics to lead a high-impact team of data scientists and data engineers that drive actionable insights across product, customer, and business ...

Sr Manager, Product Analytics

Lehi, UT · On-site

$118K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

About This Role We are seeking a Sr Manager, Product Analytics to lead a high-impact team of data scientists and data engineers that drive actionable insights across product, customer, and business ...

Sr Manager, Product Analytics

Lehi, UT

$118K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

About This Role We are seeking a Sr Manager, Product Analytics to lead a high-impact team of data scientists and data engineers that drive actionable insights across product, customer, and business ...

The role involves collaborating with stakeholders to analyze datasets, extract insights, and ... Qualifications : Required : • Undergraduate degree in Data Science, Statistics, Mathematics ...

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 ...

Data Scientist III

West Valley City, UT · On-site

$90 - $120/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Demonstrated ability to take data science projects from development to production.* Skilled analyst who produces regular reporting content for key stakeholder meetings, responds to ad hoc analysis ...

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

Your passion and advanced knowledge in data analysis, statistics, AI, and machine learning will be ... Understanding of data science priorities and how each contributes to the success of nCino

Your passion and advanced knowledge in data analysis, statistics, AI, and machine learning will be ... Understanding of data science priorities and how each contributes to the success of nCino

Lead Data Scientist

Holladay, UT · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... 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 ...

Showing results 21-40

Manager Data Science Analytics information

What do manager data science analytics do?

A manager of data science analytics oversees teams that analyze large datasets to extract insights, support decision-making, and develop predictive models. They coordinate projects, communicate findings to stakeholders, and often have expertise in statistical methods, programming tools like Python or R, and data visualization. Their role involves leadership, strategic planning, and ensuring the effective application of analytics to meet business goals.

What is the difference between Manager Data Science Analytics vs Data Scientist?

AspectManager Data Science AnalyticsData Scientist
CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often requires leadership experienceBachelor's or Master's in Data Science, Computer Science, or related field; focus on technical skills
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersPerforms data analysis, builds models, explores data independently or in small teams
Employer & Industry UsageUsed in organizations with analytics teams, across industries like tech, finance, healthcareCommonly employed in data-driven roles across similar industries

The main difference is that a Manager Data Science Analytics oversees teams and projects, focusing on leadership and strategic planning, while a Data Scientist primarily conducts technical data analysis and modeling. Both roles require strong analytical skills, but the managerial position emphasizes team management and stakeholder communication.

How much do manager data science analytics managers make?

Manager data science analytics managers typically earn a median annual salary ranging from $110,000 to $150,000, depending on experience, industry, and location. Senior roles with advanced skills in machine learning, statistical analysis, and leadership may offer higher compensation, often exceeding $160,000 annually.

What are the most commonly searched types of Data Science Analytics jobs in Utah?

The most popular types of Data Science Analytics jobs in Utah are:

Full-time

Medical, Retirement, PTO

Posted 4 days ago


Job description

ABOUT THIS POSITION

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. Incumbents whose primary role is technical and focused on data storage, warehousing and systems architecture should be matched to Database Engineering or Storage Engineering. Incumbents whose focus is the quantitative analysis of complex business problems and issues using data from internal and external sources to provide insight to decision-makers should be matched to Business Intelligence. Incumbents whose primary role is technical and focused on designing and building system-generated reports, reporting tools and dashboards for data generation should be matched to Data Informatics. Incumbents whose focus is primarily on experimental design and advanced or complex statistical analysis and modeling of datasets should be matched to Statistician/Mathematician. This is a product engineering role in which employees work with multiple types of business data. Incumbents whose focus is primarily on analysis and modeling of financial, marketing or pricing data should be matched to Finance, Market Research or Pricing as appropriate. May be internal operations-focused or external client-focused, working in conjunction with Professional Services and outsourcing functions.

WHAT YOU'LL DO

* Lead the design, development, and implementation of sophisticated machine learning models and predictive analytics solutions to solve critical business problems.
* Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning within the team.
* Collaborate with cross-functional teams (engineering, product, business stakeholders) to define data science project requirements, scope, and deliverables.
* Conduct in-depth data exploration, analysis, and visualization to identify trends, patterns, and anomalies, presenting findings clearly and concisely to diverse audiences.
* Develop and maintain robust data pipelines and infrastructure in collaboration with data engineers to ensure data quality, accessibility, and integrity.
* 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 direction of Waystar's data science initiatives, identifying opportunities for innovation and impact.
* Champion data-driven decision-making throughout the company, educating and influencing stakeholders on the power of data science.
* Evaluate and select appropriate statistical methods and machine learning algorithms for various business challenges, ensuring rigor and validity.

WHAT YOU'LL NEED

* Master's or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
* 8+ years of progressive experience in data science, with a proven track record of delivering impactful data-driven solutions in a fast-paced environment.
* Expert-level proficiency in Python and/or R for data manipulation, statistical analysis, and machine learning model development.
* Extensive experience with various machine learning techniques (e.g., supervised, unsupervised, reinforcement learning, deep learning) and their practical applications.
* Strong understanding of statistical modeling, experimental design, hypothesis testing, and causal inference.
* Proficiency in SQL for data querying and manipulation, with experience working with large-scale datasets.
* Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable.
* Excellent communication, presentation, and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.
* Demonstrated ability to lead projects, mentor team members, and drive successful outcomes.
* Prior experience in the healthcare technology or financial services industry is a plus.

ABOUT WAYSTAR

Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.

Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful,optimistic & fun.

Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.comor follow @Waystaron Twitter.

WAYSTAR PERKS

  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks +13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.