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Data Science Associate Jobs in Colorado (NOW HIRING)

Data Science Council of America (DASCA) certifications, such as Associate Big Data Engineer (ABDE), Associate Big Data Analyst (ABDA), and Senior Data Scientist (SDS); Google Data Analytics ...

... 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 ...

Data Scientist 3

Colorado Springs, CO · On-site

$155K - $185K/yr

... 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 ...

... 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 ...

... associate's degree plus 7 years of recent specialized experience, OR, a major certification plus 7 ... science, machine learning engineering, or data pipeline development. * Proficient in Python, SQL ...

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Data Science Associate information

See Colorado salary details

$60.5K

$71.5K

$135.6K

How much do data science associate jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data science associate in Colorado is $71,544.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $62,600.00 per year, depending on experience, location, and employer.

How does a data science associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

What can I do with a data science associate?

A data science associate typically supports data analysis, data cleaning, and model development using tools like Python, R, or SQL. They may assist in preparing reports, visualizations, and insights for decision-making, often working under the guidance of senior data scientists or analysts.

What is a data science associate?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

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

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

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 Associate jobs in Colorado? For Data Science Associate jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Data Science Associate jobs? Cities in Colorado with the most Data Science Associate job openings:
Infographic showing various Data Science Associate job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 28% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $71,544 per year, or $34.4 per hour.

Associate or Manager, Data Science

DESRI Renewables LLC

Greenwood Village, CO • On-site

$150K - $175K/yr

Full-time

Medical, Retirement, PTO

Re-posted 8 days ago


Job description

About DESRI
DESRI (formerly D. E. Shaw Renewable Investments) is a market-leading owner and operator of renewable energy projects throughout the United States. We have acquired or developed approximately 13 gigawatts of contracted capacity across a portfolio of over 85 renewable energy projects in 24 states.
At DESRI, our culture is grounded in rigorous analytics and thoughtful risk-taking, with a strong emphasis on creativity, intellectual curiosity, and continuous improvement. We operate with lean teams that prioritize efficiency and minimize unnecessary bureaucracy, enabling individuals to take ownership and move quickly. We value open, constructive dialogue and believe it leads to better outcomes. Above all, we are driven to go the extra mile and support one another, fostering a collaborative environment built on accountability, integrity, and care.
About the role
DESRI is seeking a talented and highly motivated individual to join its team as an Associate or Manager, Data Science (title commensurate with experience). This individual will play a key role in the company's enterprise data science strategy and help drive data-informed decision-making across the organization.
This individual will partner closely with teams across the organization to build scalable analytics capabilities and deploy advanced modeling solutions that optimize DESRI's growing renewable energy portfolio. This leader will oversee data science initiatives spanning forecasting, operational analytics, predictive maintenance, portfolio optimization, market intelligence, and business performance reporting.
The ideal candidate combines strong technical expertise with strategic leadership skills and is excited about applying advanced analytics and machine learning to complex challenges in the renewable energy industry.
What you'll do
  • Lead DESRI's enterprise data science strategy and roadmap across operational and corporate functions
  • Partner cross-functionally to identify and prioritize high-impact analytics initiatives
  • Develop predictive and prescriptive models to improve asset performance, operational efficiency, forecasting accuracy, and portfolio optimization
  • Translate complex technical findings into actionable business insights for senior leadership and non-technical stakeholders
  • Evaluate emerging AI, machine learning, and advanced analytics technologies relevant to the renewable energy industry
  • Support the continued evolution of DESRI's data infrastructure, reporting environment, and business intelligence capabilities
  • Foster a culture of innovation, continuous improvement, and data-driven decision-making across the organization

Qualifications
  • Undergraduate or graduate degree in data science, statistics, computer science, engineering, mathematics, economics, or a related quantitative field required.
  • 3+ years of experience in data science, advanced analytics, machine learning, or quantitative modeling, including leadership experience managing teams and enterprise initiatives.
  • Strong expertise in statistical modeling, machine learning, predictive analytics, optimization techniques, and data visualization.
  • Advanced proficiency with Python, SQL, and modern analytics and machine learning frameworks.
  • Experience working with cloud-based data platforms and enterprise analytics environments.
  • Strong understanding of data engineering principles, ETL workflows, and large-scale data environments.
  • Demonstrated ability to lead cross-functional initiatives and influence senior stakeholders.
  • Experience in renewable energy, utilities, energy markets, infrastructure, or industrial operations is strongly preferred.
  • Familiarity with forecasting models, SCADA data, IoT systems, energy market analytics, or grid operations is preferred.
  • Excellent written and verbal communication skills, strong analytical acumen, and exceptional problem-solving capabilities.
  • Intellectually curious individuals with an entrepreneurial mindset, strong attention to detail, and a collaborative approach will excel in this role.
  • At DESRI, we consider a wide range of factors to determine your compensation. We rely on market indicators and consider your specific job family, background, location, skills, and experience. The expected annual base salary for this position is $150,000 to $175,000 (depending on title and experience).
  • Our compensation and benefits package includes variable compensation in the form of a year-end bonus, guaranteed in the first year of hire, and benefits including medical and prescription drug coverage, 401(k) contribution matching, paid time off, wellness reimbursement, family building benefits, and a charitable gift match program.