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Data Science Engineer Jobs in Colorado (NOW HIRING)

Bachelor's degree in a quantitative field (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics, Operations Research, or related). * 5+ years of experience in AI/ML model ...

Bachelor's degree in a quantitative field (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics, Operations Research, or related). * 5+ years of experience in AI/ML model ...

In this role, you will work at the intersection of data science and software engineering, developing models and algorithms that extract actionable insights from large datasets while ensuring the ...

Bachelor's degree in a quantitative field (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics, Operations Research, or related). * 5+ years of experience in AI/ML model ...

Bachelor's degree in a quantitative field (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics, Operations Research, or related). * 5+ years of experience in AI/ML model ...

Bachelor's degree in a quantitative field (e.g., Data Science, Computer Science, Engineering, Mathematics, Statistics, Operations Research, or related). * 5+ years of experience in AI/ML model ...

This role sits at the intersection of data engineering, data science, and machine learning, with a specific focus on acoustic and sensor data.You will be instrumental in designing, developing, and ...

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 ...

Data Scientist

Boulder, CO ยท On-site

$130K - $160K/yr

DEEP DIVE INTO THIS ROLE As a Data Scientist, you'll analyze large datasets, develop predictive models, and work with engineering teams to integrate your solutions into production. Key ...

Data Scientist - AI Products

Englewood, CO ยท On-site

$126K - $208K/yr

Bachelor's degree in Statistics, Machine Learning, Computer Science, Engineering, Mathematics, Physics, or a related quantitative field * 6+ years of experience in data science and applied machine ...

Senior Data Scientist (1), Data Analyst II (2), Data Engineer (3). Minimum education and experience required: Master's degree or the equivalent in Computer Science, Engineering, Data Science or ...

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Showing results 1-20

Data Science Engineer information

See Colorado salary details

$46.8K

$136.4K

$186.6K

How much do data science engineer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for data science engineer in Colorado is $136,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,400.00 and $144,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Science Engineer position, and why are they important?

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What are the typical daily responsibilities of a Data Science Engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

What is a Data Science Engineer job?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What are the most commonly searched types of Data Science Engineer jobs in Colorado? The most popular types of Data Science Engineer jobs in Colorado are:
What are popular job titles related to Data Science Engineer jobs in Colorado? For Data Science Engineer jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Data Science Engineer jobs? Cities in Colorado with the most Data Science Engineer job openings:

Intern, Software Engineering - Data Science Engineering (Broomfield, CO)

Magnite

Broomfield, CO โ€ข Hybrid

Full-time

Posted 5 days ago


Job description

Intern, Software Engineering - Data Science Engineering

Broomfield, CO

Hybrid Schedule (M/F remote, T/W/TH in-office)

At Magnite, we cultivate an environment of continuous growth and collaboration. Our work impacts what millions of people read, watch, and buy, and we're looking for people to help us tackle that responsibility with creativity and focus. Magnite (NASDAQ: MGNI) is the world's largest independent sell-side advertising platform. Publishers use our technology to monetize their content across all screens and formats including CTV / streaming, online video, display, and audio. Our tech fuels billions of transactions per day!

About the Team

Our Data Science Engineering team acts as the primary bridge between data science and the rest of engineering, owning a variety of features across Magnite's ecosystem. Through a mix of Scala Spark and Python jobs, we transform the platform's petabytes of data into insightful metrics and generate impactful signals that power our real-time systems at auction time.

As a Data Science Engineering Intern, you will:

  • Collaborate with teammates, data scientists, product managers, and engineering partners to design and deliver pragmatic data science solutions for real business needs.

  • Contribute to the design and implementation of scalable machine learning models, infrastructure, and product offerings.

  • Apply analytics thinking and a data-driven mindset to influence both technical and product decisions.

  • Learn and apply modern software development practices, including AI-assisted development tools, testing frameworks, and collaborative engineering workflows.

  • Participate in Agile development processes including sprint planning, standups, code reviews, and technical discussions.

  • Write and maintain high-quality code within our core technology stack, including Scala, Python, Spark, MapR, AWS, Snowflake, Databricks, Jenkins, Docker.

We're looking for someone with:

  • Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.

  • Curiosity, initiative, and a desire to continuously learn new technologies and solve challenging problems.

  • Strong interest in software engineering, problem-solving, and building scalable applications or automation systems.

  • Familiarity with one or more programming languages such as Java, Scala, Python, C++, Rust, or similar technologies.

  • Exposure to statistics, machine learning, or backend data pipelines is a plus.

  • Interest in emerging technologies such as AI-assisted development tools, machine learning, or large language models (LLMs).

  • Solid understanding of computer science fundamentals including data structures, algorithms, and software design principles.

  • Strong communication, collaboration, and learning mindset with the ability to work effectively in a fast-paced team environment.

Why Intern at Magnite?

  • Hands-on Impact: Work on real projects that have tangible impacts on internal tools and platform performance.

  • Mentorship: Gain dedicated guidance, shadow senior engineers, and participate in comprehensive learning opportunities.

  • Work-Life Integration: Enjoy a hybrid work environment. Our offices feature daily catered lunches, snacks, and frequent team events.

Company Culture:

We believe collaboration is essential to success. Magnite's hybrid schedule includes two days worked remotely (Monday and Friday) and three days on-site (Tuesday, Wednesday and Thursday). Our offices provide catered lunches, beverages, snacks, training and development, and office events to support your work week. We also understand you have appointments, families, hobbies, and other commitments. Magnite strives to maintain a healthy work/life integration for all employees so you can bring your best every day - both at work and at home.

About Us

The world's leading agencies and brands trust our platform to access brand-safe, high-quality ad inventory and execute billions of advertising transactions each month. Anchored in bustling New York City, sunny Los Angeles, mile high Denver, historic London, and down under in Sydney, Magnite has offices across North America, EMEA, LATAM, and APAC.