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

Data Scientist - Applied AI Scientist

Midvale, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Production-Grade Science: Architect and implement modular, extensible, and testable Python ... optimal state management, robust RAG pipelines, and efficient system design. * Algorithmic ...

Qualifications : Required : • Undergraduate degree in Data Science, Statistics, Mathematics ... management systems • Experience deploying and monitoring models in production • Strong ...

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

Understanding of data science priorities and how each contributes to the success of nCino ... Strong experience with SQL or noSQL and database management systems * Experience deploying and ...

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

Understanding of data science priorities and how each contributes to the success of nCino ... Strong experience with SQL or noSQL and database management systems * Experience deploying and ...

Associate Data Scientist (USA)

Salt Lake City, UT · On-site

$57K - $57K/yr

  • Retirement

  • PTO

... manage relationships with our internal and external partners. In addition, the Data Scientist may ... Bachelor's degree (or equivalent experience) in data science, analytics, mathematics, statistics ...

Associate Data Scientist (USA)

Salt Lake City, UT · Hybrid

$57K - $57K/yr

  • Retirement

  • PTO

... manage relationships with our internal and external partners. In addition, the Data Scientist may ... Bachelor's degree (or equivalent experience) in data science, analytics, mathematics, statistics ...

Senior Data Scientist

Lehi, UT · On-site

$107.90 - $183.40/hr

Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science, or related field ... Strong experience with SQL or noSQL database management systems. * Experience deploying and ...

... managers, and end users, working in concert with partners in GE business units. Potential ... Education Qualification Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology ...

... managers, and end users, working in concert with partners in GE business units. Potential ... Education Qualification Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology ...

Payer Healthcare Data Scientist, Manager

Salt Lake City, UT · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and ... As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and ...

Data Scientist

Salt Lake City, UT · On-site

$108K - $187K/yr

  • Medical

  • Life

  • PTO

The Mission Systems (MS) Sector Supplier Performance Management Organization is seeking a Principal Data Scientist to lead the implementation of strategic data execution initiatives. The individual ...

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

Lehi, UT · On-site

  • Medical

  • Retirement

  • PTO

... science, mathematical, predictive modeling and statistical methods, & knowledge ... This person will interact with teams from Account Management to Application Engineering and R&D, to ...

Data Scientist

Lehi, UT · On-site

$90 - $120/hr

  • Medical

  • Retirement

  • PTO

... science, mathematical, predictive modeling, and statistical methods, & knowledge ... This person will interact with teams from Account Management to Application Engineering and R&D, to ...

Showing results 21-40

Data Science Manager information

See Highland, UT salary details

$29K

$91K

$161.1K

How much do data science manager jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data science manager in Highland, UT is $90,964.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,800.00 and $117,500.00 per year, depending on experience, location, and employer.

What is a data science manager?

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 does a data science manager do?

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 skills and qualifications are needed to be a data science manager?

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 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 with stakeholders, manage resources, and often have expertise in programming, statistical methods, and data tools to support decision-making processes.

What cities near Highland, UT are hiring for Data Science Manager jobs?

Cities near Highland, UT with the most Data Science Manager job openings:

Data Scientist - Applied AI Scientist

Zions Bank

Midvale, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Job description

Zions Bancorporation's Enterprise Technology and Operations (ETO) team is transforming what it means to work for a financial institution. With a commitment to technology and innovation, we have been providing our community, clients and colleagues the best experience possible for over 150 years. Help us transform our workforce of the future, today.
Zions Bancorporation's Innovation Lab is seeking a creative and driven Data Scientist (Applied AI Scientist) who bridges the gap between rigorous statistical research and production-grade software engineering. This role is at the heart of our innovation engine. You will not only uncover deep data insights and design advanced AI algorithms, but you will also architect the robust, scalable code required to bring those concepts to life.
As a key member of the Innovation Lab, you will work in a fast-paced, experimental environment, turning ambiguous business challenges into tangible, data-driven prototypes. We need a scientist who treats machine learning as an engineering discipline, someone who understands the "why" behind the math, and the "how" of robust software implementation.
Visa Sponsorship:
This Data Scientist position is currently NOT eligible for employment visa sponsorship (e.g., H-1B visa). This includes, for example, situations where a candidate may have temporary work authorization while enrolled in school or upon graduation (e.g., CPT, OPT) but would need H-1B visa sponsorship within a few years of employment in order to maintain employment eligibility.
Responsibilities:
  • End-to-End AI Design: Design, prototype, and validate ML/AI solutions, translating complex business challenges into mathematical formulations and scalable, production-ready code.
  • Advanced Analytics & EDA: Perform deep exploratory data analysis, statistical testing, and data transformations on diverse datasets (structured and unstructured) to uncover predictive signals and validate hypotheses.
  • Production-Grade Science: Architect and implement modular, extensible, and testable Python codebases for AI experiments. Move beyond Jupyter notebooks by applying clean-code principles (SOLID, DRY) for seamless hand-off to ETO Engineering teams.
  • Agentic & Generative AI: Develop and experiment with applied generative AI and multi-agent architectures using orchestration frameworks (e.g., LangChain, LangGraph), focusing on optimal state management, robust RAG pipelines, and efficient system design.
  • Algorithmic Optimization: Optimize model inference, data processing pipelines, and memory footprints for latency and scalability, applying a strong understanding of data structures and algorithmic complexity.
  • Rigorous Evaluation: Build automated evaluation frameworks to benchmark model performance, mitigate hallucinations, track drift, and ensure algorithmic fairness via A/B testing and statistical rigor.
  • Collaboration & Communication: Act as the technical translator between research-focused ideation and engineering execution. Communicate complex statistical findings and system architectures to both technical and non-technical stakeholders.

Qualifications:
  • The Scientist's Mind: Solid foundation in statistics (Bayesian/Frequentist), linear algebra, hypothesis testing, and the internal mechanics of ML algorithms (e.g., how optimizers work, loss functions, attention mechanisms).
  • The Engineer's Toolbelt: Advanced Python proficiency with a strong focus on Object-Oriented Programming (OOP) and modular design. You must be comfortable writing unit tests (e.g., Pytest) for your data pipelines and models.
  • Framework Depth: Deep expertise with ML libraries (PyTorch, TensorFlow, Scikit-learn, Pandas) and experience implementing custom logic, rather than just calling out-of-the-box models.
  • Generative AI Systems: Hands-on experience with NLP, Large Language Models (LLMs), and Vector Databases, with an understanding of how to evaluate and optimize these systems at scale.
  • Software Maturity: Proficiency with Git/version control, containerization (Docker), API development (FastAPI/Flask), and a working knowledge of how models fit into a CI/CD lifecycle (MLOps).
  • Problem Solving: Exceptional problem-solving skills, comfort with ambiguity, and the ability to own the data science lifecycle from abstract ideation to engineered prototype.
  • Education & Experience: Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field plus 4+ years of hands-on experience in applied machine learning or data science. A Master's degree or PhD is a plus. A combination of education and experience may meet qualifications.

Location:
This position has a hybrid work from home schedule with a minimum of three days per week in the office at the new Zions Technology Center in Midvale, UT.
The Zions Technology Center is a 400,000-square-foot technology campus in Midvale, Utah. Located on the former Sharon Steel Mill superfund site, the sustainably built campus is the company's primary technology and operations center. This modern and environmentally friendly technology center enables Zions to compete for the best technology talent in the state while providing team members with an exceptional work environment with features such as:
  • Electric vehicle charging stations and close proximity to Historic Gardner Village UTA TRAX station.
  • At least 75% of the building is powered by on-site renewable solar energy.
  • Access to outdoor recreation, parks, trails, shareable bikes and locker rooms.
  • Large modern cafe with a healthy and diverse menu.
  • Healthy indoor environment with ample natural light and fresh air.
  • LEED-certified sustainable building that features include the use of low VOC-emitting construction materials.

Benefits:
  • Medical, Dental and Vision Insurance - START DAY ONE!
  • Life and Disability Insurance, Paid Parental Leave and Adoption Assistance
  • Health Savings (HSA), Flexible Spending (FSA) and dependent care accounts
  • Paid Training, Paid Time Off (PTO) and 11 Paid Federal Holidays
  • 401(k) plan with company match, Profit Sharing, competitive compensation in line with work experience
  • Mental health benefits including coaching and therapy sessions
  • Tuition Reimbursement for qualifying employees
  • Employee Ambassador preferred banking products

#dice
Illusion

Zions Bank logo

About Zions Bank

Sourced by ZipRecruiter

Zions Bank recognizes that its success comes from the dedication, experience and talents of its diverse employee base. As we usher in the next generation of banking, we're committed to being the premier employer of choice. We're proud to have ranked among American Banker magazine's "Best Banks to Work For" almost every year since 2013, as Best Employer from Utah's Best of State, among the Best Places to Work in Idaho, and "among the Salt Lake Tribune's Top Workplaces. Make the leap into a new era of banking. Let us transform your career.

Industry

Commercial banking

Company size

1,001 - 5,000 Employees

Headquarters location

Salt Lake City, UT, US

Year founded

1873

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