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Data Science Manager Jobs in Colorado (NOW HIRING)

Agile Defense

Data Scientist

Colorado Springs, CO · On-site

... managers, full-stack developers, platform engineers, and mission stakeholders to transform raw data ... science, machine learning engineering, or data pipeline development. • Proficient in Python, SQL ...

EchoStar

Data Scientist - AI Products

Englewood, CO

$126K - $208K/yr

Python and SQL for data science and pipeline development * AWS or similar cloud-based enterprise ... the management of unstructured data (text and images) * Skilled in Python and SQL for building ...

Electra

Principal Data Scientist

Boulder, CO · On-site

$175K - $215K/yr

Own and evolve Electra's product data science strategy in partnership with Product leadership, Test ... Exceptional stakeholder management skills with the ability to align diverse teams, drive adoption ...

Electra

Principal Data Scientist

Boulder, CO

$175K - $215K/yr

Own and evolve Electra's product data science strategy in partnership with Product leadership, Test ... Exceptional stakeholder management skills with the ability to align diverse teams, drive adoption ...

Apple

Data Scientist - Hardware Acoustics

Boulder, CO · On-site

This role sits at the intersection of data engineering, data science, and machine learning, with a ... Strong SQL skills for complex data querying, analysis, and database management.Experience with ...

Peaksware

Data Scientist - TrainingPeaks

Louisville, CO · On-site

$94K - $158K/yr

... managers, and domain experts to bring game changing features to life. If you're passionate about ... Background in computer science, data science, statistics, applied mathematics, or similar technical ...

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All JobsData Science JobsData Science Manager JobsData Science Manager Jobs in Colorado

Data Science Manager information

See Colorado salary details

$32.6K

$102.1K

$180.9K

How much do data science manager jobs pay per year?

As of Jun 12, 2026, the average yearly pay for data science manager in Colorado is $102,149.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,400.00 and $132,000.00 per year, depending on experience, location, and employer.

What is the hottest job of the 21st century?

Data Science Manager is considered one of the most in-demand roles of the 21st century due to the rapid growth of data-driven decision making. These professionals oversee data teams, develop analytics strategies, and require skills in programming, statistics, and leadership. The role often involves working with tools like Python, R, and cloud platforms, and staying current with emerging technologies is essential.

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.

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 focus on the most impactful features or data subsets to optimize model performance and efficiency.

What is the salary of a data science manager?

The salary of a data science manager typically ranges from $100,000 to $160,000 annually, depending on experience, location, and company size. Senior managers or those in high-cost areas may earn higher compensation, often including bonuses and stock options.

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.

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 Colorado? The most popular types of Data Science jobs in Colorado are:
What are popular job titles related to Data Science Manager jobs in Colorado? For Data Science Manager jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Science Manager jobs in Colorado look for? The top searched job categories for Data Science Manager jobs in Colorado are:
What cities in Colorado are hiring for Data Science Manager jobs? Cities in Colorado with the most Data Science Manager job openings:
Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Colorado as of June 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $102,149 per year, or $49.1 per hour.
Data Scientist 3 with Security Clearance

Data Scientist 3 with Security Clearance

Tailored Access, LLC

Colorado Springs, CO • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

What You'll be Owning: * We are seeking a Data Scientist to support our NLP project focused on accurate and automatic tokenization of language data from spoken or written sources. In this role, you will develop automated solutions for annotating language data with parts of speech information and enhance existing models by evaluating their performance against human-generated annotations for both speech and text. Your contributions will be crucial in advancing our NLP capabilities and ensuring high-quality language processing.

What You Must Have : * Possess 2 or more of the following skill areas: * Foundations: (Mathematical, Computational, Statistical) * Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility) * Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) * Devise strategies for extracting meaning and value from large datasets. * Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in Government data holdings.

* Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting Government collection, processing, storage and analytic capabilities and limitations.

* Bachelor's degree with 10 years of relevant experience or Associate's degree with 12 years of relevant experience * Bachelor's degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g.

algorithms, programming, data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.

* Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g.

data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred. * Active TS/SCI w/ poly

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