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Head Data Science Jobs in Colorado (NOW HIRING)

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Head Data Science information

See Colorado salary details

$21.2K

$103.7K

$192K

How much do head data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for head data science in Colorado is $103,663.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,480.00 and $140,259.00 per year, depending on experience, location, and employer.

What does a head data science do?

A Head of Data Science is responsible for leading and managing the data science team within an organization. They oversee the development and implementation of data-driven strategies, ensuring that the team delivers valuable insights and predictive models to support business goals. This role involves collaborating with other departments, setting the vision for data initiatives, and ensuring best practices in data analysis and machine learning are followed. Additionally, the Head of Data Science often mentors team members and helps shape the organization's overall data strategy.

What are some common challenges faced by a head data science when building and leading a data science team?

As a Head of Data Science, one of the main challenges is balancing strategic leadership with hands-on technical guidance. You'll often need to align the team's goals with broader business objectives while ensuring that team members have the right mix of skills and resources. Additionally, fostering effective collaboration between data scientists, engineers, and business stakeholders can be complex, especially in cross-functional environments. Managing expectations around project timelines and communicating technical insights in a clear, actionable way are also key aspects of the role.

What are the key skills and qualifications needed to thrive as a head data science?

To thrive as a Head of Data Science, you need advanced expertise in statistics, machine learning, data modeling, and a strong background in computer science or a related quantitative field, often supported by a master's or Ph.D. Proficiency with programming languages like Python or R, big data platforms such as Hadoop or Spark, and familiarity with cloud-based analytics tools are typically required. Strategic leadership, excellent communication skills, and the ability to mentor and inspire teams are crucial soft skills for this role. These abilities are essential to drive data-driven decision-making, foster innovation, and align analytics initiatives with organizational goals.

What is the difference between Head Data Science vs Data Science Manager?

AspectHead Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, setting data science vision, overseeing multiple teamsTeam management, project delivery, coordinating data science projects
Required SkillsAdvanced analytics, leadership, strategic planningTeam management, technical expertise, project management
ExperienceSenior data science background, leadership rolesData science experience with managerial responsibilities
Work EnvironmentExecutive level, cross-departmental collaborationTeam-focused, project-oriented

The Head Data Science typically holds a strategic, leadership role overseeing the entire data science function, while the Data Science Manager focuses on managing teams and project execution. Both roles require strong technical backgrounds, but the Head Data Science emphasizes vision and strategy, whereas the Data Science Manager concentrates on operational management.

What are the most commonly searched types of Data Science jobs in Colorado? The most popular types of Data Science jobs in Colorado are:
Head Data Science jobs near you
Infographic showing various Head Data Science job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $103,663 per year, or $49.8 per hour.

Senior Principal Algorithms Software Engineer

Grey Matters Defense Solutions

Boulder, CO • On-site

$132K - $198K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 15 days ago

Job description

Position: Principal/Sr. Principal Software Engineer
Location: Boulder, CO
Clearance: Secret Clearance
Grey Matters Defense Solutions specializes in software development and solutions, specialized data analytics algorithms, and innovative remote sensing technologies and operations, with senior-level personnel formerly from DIA, NRO, DARPA, and the US Armed Forces. Grey Matters Defense Solutions differentiates itself by combining its subject matter experts, analysts, software engineers, and its data scientists to create unique artificial intelligence algorithms and various applications.
About the job:
• Solve real world problems relevant to the Intel Community (IC) and Department of Defense (DoD) using a combination of FOSS/GOTS/COTS software and hardware.
• Contribute to all aspects of project software development lifecycle from research, prototyping solutions to assess feasibility, integration with external software systems, development, and product deployment. Key
Grey Matters Defense Solutions is seeking a talented and dedicated, Principal / Senior Principal Algorithms Software Engineer
Position Overview:
As a Senior Principal Algorithms Software Engineer, you will be responsible for designing, developing, testing, documenting, and debugging software and complex mathematical algorithms. This fast-paced and cutting-edge research and development environment will rely on your familiarity with modern software practices. You are expected to communicate technical information effectively and clearly, and present technical approaches and findings. Our team of motivated technical talent works closely with the end user (and each other) to ensure the direct mission applicability of developed products.
Essential Functions:
  • Breadth and depth in the application of mathematics to perform data analysis and algorithm development for missile tracking applications.
  • Development and performance analysis of tracking and state estimation algorithms.
  • Tool and prototype development using Modern C++ and Python.
  • Algorithm defect tracking and resolution.
  • Technical Documentation as required.
  • Work in cross-discipline teams and communicate clearly across various levels of engineers.

Seeking candidates who find satisfaction in working on challenging and diverse assignments in collaborative settings across all levels.
Basic Qualifications:
  • Principal Algorithm Software Engineer: Bachelor's Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline preferred from an accredited university and 5 years of related experience, or a Master's degree in a STEM discipline and 3 years experience, or a PhD and 1 year of experience.
  • Sr. Principal Algorithm Software Engineer: Bachelor's Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline preferred from an accredited university and 8 years of related experience, or a Master's degree in a STEM discipline and 6 years experience, or a PhD and 4 year of experience.
  • Applicants must have a minimum of 1 year of software development experience with Python and/or C++.
  • Applicants must have Linux experience and working knowledge of common utilities like grep, awk, cat head, etc.
  • Experience developing, analyzing, testing, and implementing extendable / reusable algorithms.
  • Applicants must have algorithm design and state estimation experience.
  • Experience with data analysis - Population statistics and trend identification.
  • The ability to bridge between theoretical concepts and practical implementation.
  • Ability and willingness to travel up-to 10% to support business needs.
  • Applicants must have a current active in-scope U.S. Government issued Secret security clearance at the time of application which is required to start; with the ability to obtain and maintain a TS/SCI clearance.

Preferred Qualifications:
  • A current active in-scope U.S. Government DoD issued Top Secret security clearance.
  • Strong statistical background and skills.
  • Experience in tracking and prediction algorithms, simulation, and validation.
  • Experience with multiple hypothesis tracking.
  • Experience in the numerical implementation of motion filters.

Salary Range: $132,000 - $198,000 + 25%SEP
Grey Matters Defense Solutions, LLC offer a comprehensive benefits package including medical, dental, vision, life insurance, short-term, long-term disability, and voluntary benefits such as accident, hospital indemnity, and wellness benefits.
Additional Benefits:
  • 25% (of salary) employer contribution distributed monthly to your SEP IRA
  • Individual Benefit Account 25% (of salary to pay for medical insurance premiums and funded time off)
  • Employee assistance program
  • Employee discount
  • Health savings account
  • Referral program

Grey Matters Defense Solutions' most valuable assets are the more than 60 employees, consisting of data scientists, custom software developers, and analysts/subject matter experts, with senior-level personnel formerly from DIA, NRO, NSA and the US Armed Forces. Our employees have a depth of analytical knowledge which provides them with deep understanding of managing and delivering products within government systems. Grey Matters Defense Solutions provides transformational leadership building aware-winning teams and products.
Visit us at Grey Matters Defense Solutions
https://www.linkedin.com/company/grey-matters-defense-solutions/
"Know Your Rights: Workplace Discrimination is Illegal"
Questions contact: [email protected]
  • All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
  • Grey Matters Defense Solutions, LLC participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.
  • Grey Matters Defense Solutions, LLC complies with the Colorado Artificial Intelligence Act (CAIA) and maintains policies, controls, and oversight practices designed to mitigate algorithmic discrimination, promote transparency, and ensure responsible use of AI systems in accordance with Colorado law.

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