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Director Data Scientist Jobs in Mapleton, UT (NOW HIRING)

Data Engineer

Provo, UT · On-site

$109K - $131K/yr

Recent graduate (or soon to be) in Computer Science, Data Science, Data Engineering, Software ... Self-directed and low-ego. You ask good questions, take feedback well, and move fast in ambiguous ...

Data Engineer

Provo, UT · On-site

$109K - $131K/yr

Recent graduate (or soon to be) in Computer Science, Data Science, Data Engineering, Software ... Self-directed and low-ego. You ask good questions, take feedback well, and move fast in ambiguous ...

Data Engineer

Provo, UT · On-site

$50K - $90K/yr

Recent graduate (or soon to be) in Computer Science, Data Science, Data Engineering, Software ... Self-directed and low-ego. You ask good questions, take feedback well, and move fast in ambiguous ...

ACT Science Tutor

Provo, UT · Remote

$18 - $40/hr

Emphasizes minimal passage reading, direct data analysis, and recognizing question patterns for maximum efficiency. * Test Strategy & Adaptive Instruction: Familiar with ACT Science time pressure ...

ACT Science Tutor

Spanish Fork, UT · Remote

$18 - $40/hr

Emphasizes minimal passage reading, direct data analysis, and recognizing question patterns for maximum efficiency. * Test Strategy & Adaptive Instruction: Familiar with ACT Science time pressure ...

AI Data Engineer

Provo, UT · On-site

$50K - $90K/yr

Recent graduate (or soon to be) in Computer Science, Data Science, Software Engineering ... Self-directed and low-ego. You ask good questions, take feedback well, and move fast in ambiguous ...

AI Data Engineer

Provo, UT · On-site

$109K - $131K/yr

Recent graduate (or soon to be) in Computer Science, Data Science, Software Engineering ... Self-directed and low-ego. You ask good questions, take feedback well, and move fast in ambiguous ...

AI Data Engineer

Provo, UT · On-site

$109K - $131K/yr

Recent graduate (or soon to be) in Computer Science, Data Science, Software Engineering ... Self-directed and low-ego. You ask good questions, take feedback well, and move fast in ambiguous ...

Data Clerk

Provo, UT

$16 - $21.50/hr

Senior Director of Data, Enrollment & Compliance Department: Operations / Data & Compliance ... Associate's degree in Business, Information Systems, Data Analytics, Computer Science, Business ...

Data Clerk

Provo, UT · On-site

$15 - $18/hr

Senior Director of Data, Enrollment & Compliance Department: Operations / Data & Compliance ... Associate's degree in Business, Information Systems, Data Analytics, Computer Science, Business ...

Data Clerk

Provo, UT · On-site

$15 - $18/hr

Senior Director of Data, Enrollment & ComplianceDepartment: Operations / Data & CompliancePosition ... Associate's degree in Business, Information Systems, Data Analytics, Computer Science, Business ...

We're hiring a Senior Director of Applied Analytics to help turn that data into real value for the ... Qualifications * 10+ years in analytics, data science, or similar roles, with a mix of hands-on ...

Laboratory Director

Pleasant Grove, UT · On-site

$185K - $275K/yr

Oversee the accuracy and timely completion of SART data reporting, including prospective ... PhD, MD, or equivalent doctoral degree in a biological or medical science preferred. * Board ...

Laboratory Director

Pleasant Grove, UT · On-site

$95K - $124K/yr

Oversee the accuracy and timely completion of SART data reporting, including prospective ... PhD, MD, or equivalent doctoral degree in a biological or medical science preferred. * Board ...

Laboratory Director

Pleasant Grove, UT · On-site

$185 - $275/hr

Oversee the accuracy and timely completion of SART data reporting, including prospective ... PhD, MD, or equivalent doctoral degree in a biological or medical science preferred. * Board ...

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Showing results 1-20

Director Data Scientist information

See Mapleton, UT salary details

$35.4K

$115.8K

$185.4K

How much do director data scientist jobs pay per year?

As of Sep 4, 2026, the average yearly pay for director data scientist in Mapleton, UT is $115,785.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,900.00 and $128,300.00 per year, depending on experience, location, and employer.

What does a Director Data Scientist do?

A Director Data Scientist leads and manages a team of data scientists, setting the strategic direction for data-driven projects within an organization. They oversee the development and implementation of advanced analytics, machine learning models, and data solutions to solve complex business problems. In addition to technical expertise, they collaborate with other departments, mentor staff, and communicate insights to senior leadership to drive decision making. Their role bridges the gap between technical teams and business goals, ensuring that data initiatives align with organizational objectives.

How does a Director Data Scientist balance hands-on technical work with leadership responsibilities?

As a Director Data Scientist, you can expect to split your time between strategic leadership and hands-on data science work. While you will lead and mentor teams, set vision, and drive cross-functional initiatives, you’ll also stay involved in high-level modeling, code review, and project architecture to ensure technical excellence. The proportion of hands-on work versus leadership duties often depends on company size and project needs, but maintaining technical involvement is key to effective leadership and team credibility. This balance allows you to guide your team with up-to-date expertise while also influencing organizational data strategy.

What are the key skills and qualifications needed to thrive as a Director Data Scientist?

To thrive as a Director Data Scientist, you need advanced expertise in statistical modeling, machine learning, and data analysis, typically supported by a graduate degree in a quantitative field and extensive industry experience. Mastery of programming languages like Python or R, experience with big data platforms such as Hadoop or Spark, and familiarity with cloud-based data solutions are essential, along with relevant certifications like Certified Analytics Professional (CAP). Exceptional leadership, strategic thinking, and communication skills set top candidates apart by enabling them to manage teams and translate complex insights for stakeholders. These skills are crucial for driving data-driven decision-making and ensuring the successful implementation of analytics initiatives across the organization.

What is the difference between Director Data Scientist vs Senior Data Scientist?

AspectDirector Data ScientistSenior Data Scientist
ResponsibilitiesOversees data science teams, sets strategic goals, manages projects, and aligns data initiatives with business objectives.Develops advanced models, analyzes complex data, and provides insights; focuses on technical expertise and project execution.
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related; often requires 8+ years experience; leadership skills valued.Bachelor's or Master's in relevant field; typically 5+ years experience; strong technical skills essential.
Work EnvironmentLeadership roles in corporate or enterprise settings, collaborating with cross-functional teams.Hands-on technical environment, often within analytics or data science teams.

The main difference between a Director Data Scientist and a Senior Data Scientist lies in scope and leadership. The Director oversees teams and strategic initiatives, while the Senior Data Scientist focuses on technical expertise and project delivery. Both roles require strong data science skills, but the director position emphasizes management and strategic planning.

What cities near Mapleton, UT are hiring for Director Data Scientist jobs?

Cities near Mapleton, UT with the most Director Data Scientist job openings:

Data Engineer

Atonom

Provo, UT • On-site

$109K - $131K/yr

Full-time

Medical, PTO

Re-posted 10 days ago


Job description

Data Engineer

Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years

ABOUT ATONOM

Atonom.ai builds Cloud Employees: intelligent AI agents that execute complex work across Sales, Marketing, Support, and HR. We believe growth should be limited by ambition, not headcount. We move beyond simple automation to genuine autonomy, empowering businesses to scale instantly. Join us as we build the infrastructure for the next generation of work.

THE ROLE

As a Data Engineer, you'll work alongside senior team members to configure, deploy, and optimize AI Cloud Employees for our customers. This is a hands-on role where you'll learn quickly, work directly with clients, and see the impact of your work from day one. You don't need years of experience. You need curiosity, technical aptitude, and the drive to figure things out.

WHAT YOU'LL DO

  • Build and maintain data integrations that power AI Cloud Employees for customers, connecting systems, mapping fields, and helping ensure data quality.
  • Join client calls to understand data environments, source systems, and business requirements, then help translate them into working data flows.
  • Troubleshoot data pipeline and integration issues with support from senior engineers. Trace data through systems and work toward solutions.
  • Document data architectures, integration patterns, and technical playbooks for the implementation team.
  • Share product feedback with Engineering and Product teams, including data handling limitations, schema gaps, and integration pain points.

WHO YOU ARE

  • Recent graduate (or soon to be) in Computer Science, Data Science, Data Engineering, Software Engineering, or a related technical field. Self-taught candidates with relevant projects are also welcome.
  • Comfortable getting into the weeds with data. You've written queries, worked with APIs, or built something that involved moving data from one place to another.
  • Interested in LLMs and prompt engineering. You don't need to be an expert, but you understand the basics of how AI models consume and produce data.
  • A clear communicator who can explain data workflows and technical decisions to both engineers and non-technical clients.
  • Self-directed and low-ego. You ask good questions, take feedback well, and move fast in ambiguous situations.

YOUR FIRST 90 DAYS

  • Month 1: Learn the Atonom platform inside and out. Shadow senior team members on client calls and implementations. Get certified on internal tooling.
  • Month 2: Take ownership of your first customer implementations with senior support. Begin contributing to internal documentation and playbooks.
  • Month 3: Run implementations with increasing independence. Present learnings and customer pain points to the Product team.

TECHNICAL SKILLS (NICE TO HAVE)

  • Exposure to workflow automation tools (Zapier, Make, or similar).
  • Basic understanding of APIs, webhooks, or data integrations.
  • Familiarity with SQL, Python, or JavaScript.
  • Experience with CRMs like Salesforce or HubSpot.
  • Any hands-on project involving LLMs or prompt engineering (personal, academic, or professional).

WHY JOIN

  • Real AI work. Not research papers. Production agents that generate measurable ROI for real businesses.
  • Mentorship built in. Learn from experienced specialists who invest in your growth.
  • Career velocity. High-visibility role with clear paths toward Solutions Architecture, Product, or Team Leadership.
  • Impact from day one. Small team, fast shipping, your contributions matter immediately.

BENEFITS

  • PTO accrual starts on day one.
  • Competitive health benefits package.
  • Paid holidays and company events.
  • Competitive salary.