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Director Of Data Science Jobs in Colorado (NOW HIRING)

Growth Data Science Leader

Denver, CO · On-site

$185K - $217K/yr

This role is the equivalent to a Senior Manager/Director-level role. Here's what you'll do day-to-day: * Lead and develop a team of data scientists - hire, empower, and coach team members; set a high ...

Doctorate degree OR Master's degree and 2 years of Data Science or Engineering experience OR ... Bachelor's degree and 4 years of Data Science or Engineering experience OR Associate's degree and 8 ...

Data Scientist

Boulder, CO · On-site

$130K - $160K/yr

THE TYPE OF CANDIDATE WE'RE LOOKING FORMaster's or PhD in Data Science, Statistics, or related field.5-8 years of data science experience.Expertise in Python, SQL, and machine learning frameworks.

Manager, Data Science

Denver, CO · On-site

$158K - $185K/yr

This role will build and lead a team of data scientists; as well as drive innovative solutions using machine learning, data analytics, and statistical modeling for internal and external partners. The ...

Research and apply knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions  * Develop Machine Learning (ML) models to detect and predict ...

AI Data Scientist

Fort Collins, CO · On-site

$102K - $146K/yr

Your models will have a direct impact on financial decisions, operational efficiency, and customer ... of experience in a data science or AI-focused role within fintech, banking, or payments. • ...

Your models will have a direct impact on financial decisions, operational efficiency, and customer ... of experience in a data science or AI-focused role within fintech, banking, or payments. • ...

Master's degree preferred. * 5-8+ years of experience in data science, machine learning, and software engineering. * Experience with Full Stack AI assisted development and deployment. * Experience ...

Master's degree preferred. * 5-8+ years of experience in data science, machine learning, and software engineering. * Experience with Full Stack AI assisted development and deployment. * Experience ...

Qualifications Required Skills: * 5+ years in Data Science. * Strong Python coding/scripting Skills. * AWS CI/CD exposure. * Ability to build models that can drive value of data. Deploy the data into ...

Qualifications Required Skills: * 5+ years in Data Science. * Strong Python coding/scripting Skills. * AWS CI/CD exposure. * Ability to build models that can drive value of data. Deploy the data into ...

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Showing results 1-20

Director Of Data Science information

See Colorado salary details

$56.8K

$162.9K

$256.6K

How much do director of data science jobs pay per year?

As of Sep 2, 2026, the average yearly pay for director of data science in Colorado is $162,852.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,700.00 and $199,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by a director of data science when leading cross-functional teams?

As a Director of Data Science, one of the key challenges is aligning the goals of data science teams with those of product, engineering, and business stakeholders. This often involves translating complex technical findings into actionable insights that non-technical colleagues can understand and use. Additionally, managing resource allocation and prioritizing projects across multiple departments can be demanding, especially in fast-paced environments. Building a collaborative culture and fostering open communication are crucial for overcoming these challenges and ensuring data-driven strategies deliver business value.

What are the key skills and qualifications needed to thrive as a director of data science, and why are they important?

A Director of Data Science needs advanced expertise in statistical analysis, machine learning, and data strategy, typically supported by a graduate degree in a quantitative field and significant industry experience. Familiarity with big data platforms (e.g., Hadoop, Spark), programming languages (Python, R), and cloud-based analytics tools, as well as experience managing data science teams, is essential. Strong leadership, communication, and business acumen are key soft skills for aligning technical work with organizational goals and influencing stakeholders. These skills are crucial for driving data-driven decision-making and maximizing the strategic impact of data science initiatives within the organization.

What is the difference between Director Of Data Science vs Data Scientist?

AspectDirector Of Data ScienceData Scientist
Required CredentialsAdvanced degrees (Master's or PhD), leadership experienceBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentStrategic planning, team management, cross-department collaborationData analysis, model development, coding, and experimentation
Employer & Industry UsageTech companies, finance, healthcare, large enterprisesStartups, tech firms, research institutions, various industries

The main difference between a Director Of Data Science and a Data Scientist lies in their scope of responsibilities. The Director oversees strategic initiatives, manages teams, and aligns data projects with business goals, while Data Scientists focus on analyzing data, building models, and deriving insights. Both roles require strong technical skills, but the Director's role emphasizes leadership and strategic planning.

What does a director of data science do?

A director of data science oversees data science teams, develops strategies for data analysis and modeling, and ensures the implementation of data-driven solutions to support business goals. They often manage projects, collaborate with other departments, and have expertise in statistical methods, machine learning, and data management tools. Strong leadership, communication skills, and experience with programming languages like Python or R are essential for this role.

What are the most commonly searched types of Of Data Science jobs in Colorado?

The most popular types of Of Data Science jobs in Colorado are:

What cities in Colorado are hiring for Director Of Data Science jobs?

Cities in Colorado with the most Director Of Data Science job openings:

Infographic showing various Director Of Data Science job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $162,852 per year, or $78.3 per hour.

Growth Data Science Leader

Gusto, Inc.

Denver, CO • On-site

$185K - $217K/yr

Full-time

Posted 17 days ago


Gusto rating

8.0

Company rating: 8.0 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

About Gusto
At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff - payroll, health insurance, 401(k)s, and HR - so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.
All full-time employees receive competitive base pay, benefits, and equity (RSUs) - because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.
AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.
About the Role:
Gusto is looking for an experienced, hands-on people manager to lead a data science and analytics team supporting Growth product initiatives. This role sits at the heart of how we use data - and increasingly AI - to understand, shape, and scale Gusto's products. You'll both manage a team of data scientists and analysts as well as personally get in-the-weeds to work closely with Product, Engineering, Design, Marketing, Sales, and Finance to deliver insights and frameworks that inform strategy, optimize user experiences, and accelerate business growth.
We're looking for a leader who can balance strategic influence with hands-on craft - someone who can guide senior Gusto leaders through data and AI strategy, coach data scientists on impactful problem solving, and dive in to drive forward statistically rigorous analyses when needed.
This role is the equivalent to a Senior Manager/Director-level role.
Here's what you'll do day-to-day:
  • Lead and develop a team of data scientists - hire, empower, and coach team members; set a high bar for analytical quality and career growth.
  • Shape product and business strategy through data - partner with Product and cross-functional leaders to identify opportunities, prioritize investments, and influence long-term product roadmaps.
  • Develop and scale measurement frameworks - define key metrics, design monitoring systems, and ensure product initiatives - including AI-powered features - are rigorously tracked and evaluated.
  • Support experimentation and decision-making - support inferential analyses and experimentation (e.g., A/B tests, segmentation, funnel analysis), including designing evaluations for AI and ML-driven systems, ensuring findings are actionable and aligned to strategic goals.
  • Partner on AI-powered product development - collaborate with ML Engineering and Product to bring intelligent features to life (personalization, predictions, intelligent automation), ensuring they're grounded in customer insight and measured for real-world impact.
  • Balance strategic and hands-on impact - dive deep into data, review and refine analyses, and ensure insights are both technically sound and business-relevant.
  • Influence senior leadership - communicate insights and recommendations clearly, framing trade-offs and shaping executive decision-making.

Here's what we're looking for:
  • 10+ years of experience in data science or related fields, with at least 4 years managing and scaling high-performing data science teams.
  • Deep expertise in product analytics - experience with user acquisition, activation, retention, engagement, or expansion in SaaS or product-led environments.
  • Technical fluency - advanced coding skills, strong statistical reasoning, and familiarity with experimentation frameworks; ability to mentor data scientists on best practices.
  • AI product intuition - experience working at the intersection of data science and AI product development; comfort reasoning about model behavior, evaluation design, and the tradeoffs of deploying AI in customer-facing contexts.
  • Strategic and business acumen - demonstrated ability to connect insights to product and business goals, and to influence roadmaps through data.
  • Executive communication skills - proven experience presenting insights to senior stakeholders, turning complex data into clear and actionable recommendations.
  • Cross-functional collaboration - history of working closely with Product, Engineering, and go-to-market teams to drive decisions and deliver impact.
  • Hands-on experience with ML applications in product contexts (e.g., personalization, churn prediction, customer segmentation, or LLM-powered features) is strongly preferred.
  • Familiarity with multi-product SaaS ecosystems and customer lifecycle analytics is desirable.

Our cash compensation amount for this role is targeted at and $185,000 - $217,000 in Denver, and $218,000 - $255,000 in San Francisco and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.
Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale.
Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas.
When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.
Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.
Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer.
Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.

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