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

Varsity Tutors

Data Science Tutor

Provo, UT · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

MasterCard

Senior Data Scientist

Holladay, UT · On-site

Role As an individual contributor working within a growing data science team, you will take ... For example, by investigating/proposing new data sources, encouraging cross team working, managing ...

Patientco

Data Scientist

Lehi, UT

This person will primarily work as part of the larger Data Science team interacting Product Management and Application teams to conduct analysis and experimentation to maximize the utility of ...

Waystar

Data Scientist

Lehi, UT · On-site

This person will primarily work as part of the larger Data Science team interacting Product Management and Application teams to conduct analysis and experimentation to maximize the utility of ...

Crew Career Center

Data Scientist

Lehi, UT · On-site

This person will primarily work as part of the larger Data Science team interacting Product Management and Application teams to conduct analysis and experimentation to maximize the utility of ...

nCino

Senior Data Scientist

Lehi, UT · On-site

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

nCino

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 ...

nCino OpCo

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 ...

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Data Science Manager information

See Draper, UT salary details

$29K

$90.8K

$160.8K

How much do data science manager jobs pay per year?

As of Jul 8, 2026, the average yearly pay for data science manager in Draper, UT is $90,815.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $117,300.00 per year, depending on experience, location, and employer.

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.

Is 40 too late for data science?

Age is not a barrier to becoming a data science manager; many professionals transition into data science roles later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like programming, statistics, and machine learning. Employers value diverse backgrounds and practical expertise regardless of age.

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 use this principle to focus on the most impactful features, models, or data subsets to improve efficiency and outcomes in projects.

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.

How much do data scientist managers make?

Data Science Managers typically earn between $110,000 and $160,000 annually, with salaries varying based on experience, location, and company size. They often oversee teams of data scientists, coordinate projects, and require strong skills in analytics tools and leadership. Senior roles or those in high-cost areas can offer higher compensation.

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 are the most commonly searched types of Data Science jobs in Draper, UT? The most popular types of Data Science jobs in Draper, UT are:
What cities near Draper, UT are hiring for Data Science Manager jobs? Cities near Draper, UT with the most Data Science Manager job openings:
Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Draper, UT as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $90,815 per year, or $43.7 per hour.
Data Science Manager, Market Delivery

Data Science Manager, Market Delivery

Strider Technologies, Inc

South Jordan, UT • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Job description

Strider Technologies delivers strategic intelligence that helps organizations make faster, more confident decisions in an increasingly complex global environment. Using cutting-edge AI and proprietary methodologies, we transform open-source data into actionable insights that help protect technology, talent, and supply chains from nation-state risks.
About the Role
Strider is looking for an Applied Intelligence Manager to own NORAM Market Delivery - the function that sits at the intersection of data science, product, and commercial outcomes. This is not a traditional market-facing role. It is a builder's role. The person who succeeds here has deep technical fluency in data and AI systems, sharp commercial instincts, and the judgment to distinguish custom work that drives strategic value from work that does not.
Market Delivery is an extension of the product organization. This team does not advise, consult, or manage delivery from a distance. They build working solutions alongside Engineering, Growth, and CS - solutions that generate direct ARR, feed the product roadmap, or accelerate the commercial motion in government and enterprise accounts.
NORAM is a mature market for Strider. The product largely exists, the client base is established, and the bar for custom work is high. The work here is at the edges - extending what is already built, executing high-value engagements for strategic accounts, and ensuring the intelligence flowing back from clients is shaping what we build next.
What You Will Do
Own the NORAM commercial delivery motion. Partner closely with Growth and CS to identify where custom work creates outsized commercial value - contract expansions, Gov engagements, strategic new logos - and execute it. This team is accountable to measurable ARR contribution, not just activity.
Build working solutions on top of Strider's data infrastructure. Apply data science and AI methods to extend Strider's products for client-specific use cases. That includes entity resolution, risk scoring models, knowledge graph enrichment, and AI-augmented workflows. You are building on the platform, not around it.
Support pre-sale POCs and custom technical engagements. Bring the technical depth clients need to trust that Strider can solve their specific problem. You are the person in the room who can go from a client brief to a working prototype to a commercial outcome.
Feed signal back to the product team. What you learn in client conversations, deployments, and custom engagements is only valuable if it reaches the PMs in a form they can act on. Translating market signal into actionable product requirements is a core part of the job.
Own government delivery alongside the Gov team. Work as an integrated execution partner on government engagements - not independently. Understand the platform deeply enough to build solutions that are reusable across Gov opportunities rather than one-off.
Partner cross-functionally across Product, Engineering, Growth, and CS. This role sits at the seam of multiple functions. The ability to operate credibly in a client conversation, a technical architecture discussion, and a roadmap review in the same week is the job.
What You Will Need to Be Successful
  • 5+ years of hands-on data science or applied AI experience, including production-grade model development and deployment.
  • Demonstrated success applying data science methods to commercial problems - entity resolution, risk modeling, knowledge graphs, or similar domains.
  • Deep expertise in Python. Familiarity with search infrastructure (Elasticsearch), graph-based methods, or distributed data frameworks (Spark, Ray) is a strong plus.
  • The ability to move between technical work and client-facing conversations without losing credibility in either. You can explain what you built, why you built it that way, and what it means for the client's problem.
  • Commercial fluency. You understand what makes a client engagement strategic versus transactional, and you bring that judgment to decisions about what work to take on.
  • Proven ability to take an ambiguous brief, define the technical problem, and deliver something that works and that people actually use.
  • Experience working alongside or directly supporting government clients is strongly preferred.
  • Background in intelligence, national security, supply chain risk, or a related domain is a significant plus.

Why This Role
  • You will work at the intersection of AI, data science, and strategic intelligence - applying methods that matter to problems with real stakes.
  • You will have direct commercial accountability and the autonomy to define what NORAM Market Delivery looks like as Strider scales.
  • You will work closely with a product team that treats data fluency as a prerequisite, not a differentiator - and with clients who are operating in the highest-stakes environments in the world.
  • You will be part of a company transitioning from smart people solving hard problems to smart systems solving them at scale - and this role is central to that transition.

Benefits
  • Competitive Compensation
  • Company Equity Options
  • Flexible PTO
  • Wellness Reimbursement
  • US Holidays (Office Closed)
  • Paid Parental Leave
  • Comprehensive Medical, Dental, and Vision Insurance
  • 401(k) Plan

Strider is an equal opportunity employer. We are committed to fostering an inclusive workplace and do not discriminate against employees or applicants based on race, color, religion, gender, national origin, age, disability, genetic information, or any other characteristic protected by applicable law. We comply with all relevant employment laws in the locations where we operate. This commitment applies to all aspects of employment, including recruitment, hiring, promotion, compensation, and professional development.

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