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Data Science Entry Jobs in Denver, CO (NOW HIRING)

Data Scientist

Aurora, CO · On-site

$50K - $120K/yr

Citizenship. * 3+ years of experience and a Bachelor's Degree in Computer Science or a related ... Global Entry * Annual Swag Budget Learn more about GliaCell Technologies: To apply for this ...

Citizenship. * 3+ years of experience and a Bachelor's Degree in Computer Science or a related ... Global Entry * Annual Swag Budget Learn more about GliaCell Technologies: To apply for this ...

Senior Data Scientist

Aurora, CO · On-site

$115K - $190K/yr

U.S. Citizenship. * 10+ years of experience and a Bachelor's Degree in Computer Science or a ... Global Entry * Annual Swag Budget Learn more about GliaCell Technologies: To apply for this ...

... entry point every model and agent workload at Angi runs through. As generative AI moves from ... You will own the platform that our product engineering, data science and their associated agents ...

Production Engineering Tech

Denver, CO · On-site

$17.75 - $22.25/hr

You will use your expertise in data science and oil and gas technical support to provide daily ... and accurate data entry * Lead Wellview standardization initiatives and data cleanup efforts

Production Engineering Tech

Denver, CO

$17.75 - $22.25/hr

You will use your expertise in data science and oil and gas technical support to provide daily ... and accurate data entry * Lead Wellview standardization initiatives and data cleanup efforts

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Data Science Entry information

See Denver, CO salary details

$11

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$29

How much do data science entry jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for data science entry in Denver, CO is $20.04, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $22.50 per hour, depending on experience, location, and employer.

What is an entry-level data scientist?

Data Science Entry jobs are positions designed for individuals who are new to the field of data science, often recent graduates or career changers. These roles typically involve working with data to extract insights, performing basic data cleaning, exploratory analysis, and supporting more senior data scientists. Entry-level data scientists may use tools like Python, R, SQL, and data visualization platforms. The goal is to build foundational skills in data analysis, statistics, and machine learning while contributing to projects under supervision.

What skills and qualifications are needed to thrive as an entry-level data scientist?

To thrive as an Entry-Level Data Scientist, you need a solid foundation in statistics, programming (typically Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with tools like SQL, data visualization platforms (e.g., Tableau), and machine learning frameworks (such as scikit-learn or TensorFlow) is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you translate complex data insights into actionable business recommendations. These competencies are crucial for extracting value from data, driving informed decisions, and succeeding in collaborative, data-driven environments.

What types of projects do entry-level data scientists work on?

As an entry-level data scientist, you will typically work on projects such as data cleaning, exploratory data analysis, building simple predictive models, and creating data visualizations. These tasks are foundational and help support the broader team by preparing datasets, uncovering actionable insights, and ensuring data quality. You'll often collaborate with more experienced data scientists, engineers, and business analysts, contributing to larger projects and gradually taking on more responsibility as you gain experience. This collaborative environment helps you learn best practices and understand how your work impacts the organization's objectives.

Can a data science entry-level position be entry-level?

Yes, data science entry-level positions are designed for candidates with minimal professional experience, often requiring skills in programming languages like Python or R, and familiarity with data analysis tools. These roles typically involve learning on the job and may require a relevant degree or certification, such as a data science bootcamp or coursework.

Is it possible to get a data science job with no experience?

Entry-level data science positions often require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is helpful, candidates can improve their chances by completing relevant coursework, certifications, or projects to demonstrate skills to employers.
Infographic showing various Data Science Entry job openings in Denver, CO as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $41,690 per year, or $20 per hour.

$50K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 hours ago


Job description

***An active or rein-statable TS/SCI with Polygraph security clearance is REQUIRED. Please do not apply if you currently do not possess this level of clearance.***
Are you a Data Scientist who is ready for a new challenge that will launch your career to the next level?
  • Tired of being treated like a company drone?
  • Tired of promised adventures during the hiring phase, then dropped off on a remote contract and never seen or heard from the mothership again?
  • Our engineers were certainly tired of the same.

At GliaCell our slogan is "We make It happen".
  • We will immerse you in the latest technologies.
  • We will develop and support your own personalized training program to continue your individual growth.
  • We will provide you with work that matters with our mission-focused customers, and surround you with a family of brilliant engineers.

Culture isn't something you need to talk about...if it just exists.
If this sounds interesting to you, then we'd like to have a discussion regarding your next adventure! If you want to be a drone, this isn't the place for you.
We Make It Happen!
GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security solution spaces. We excel at delivering stable and reliable software solutions using Agile Software Development principles. These provide us the capability to deliver a quick turn-around using interactive applications and the integration of industry standard software stacks.
GliaCell's Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat.
We Offer:
  • Long term job security
  • Competitive salaries & bonus opportunities
  • Challenging work you are passionate about
  • Ability to work with some amazingly talented people

Job Description:
GliaCell is seeking a Data Scientist on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer. The mission is to provide technical expertise that assists in sustaining critical mission-related software and systems to a large government contract.
Key Requirements:
To be considered for this position you must have the following:
  • Possess an active or rein-statable TS/SCI with Polygraph security clearance
  • U.S. Citizenship.
  • 3+ years of experience and a Bachelor's Degree in Computer Science or a related discipline.
  • Possess software development skills
  • Work well independently as well as on a team.
  • Strong communication skills.

Key Skills:
  • Building and maintaining custom data analytics to automate and scale signals analysis
  • Experience with adversary defeat, mission management, metrics, and data visualization
  • Experience compiling various data sources via computer scripting, statistical analysis, data modeling, etc.
  • Need someone who understands very large networks, telcos, and can use DS skills to make sense of large data sets

Location: Aurora, Colorado
Salary Range: The salary range for this full-time position is $50,000 to $120,000. Our salary ranges are determined by position, level, skills, professional experience, relevant education and certifications. The range displayed on each job posting reflects the minimum and maximum target salaries for this position across our projects. Within the range, your salary is determined by your individual benefits package selection. Your recruiter can share more about the specific salary range for your preferred position during the hiring process.
Benefits:
  • Medical, Dental, and Vision Coverage for Employee and Dependents
  • Up to 25 Days of Paid Time Off
  • Up to 40 hours of PTO Carryover
  • 11 Federal Government Holidays
  • Work From Home Opportunities
  • 401K Company Contribution, Fully Vested Day 1
  • Discretionary, Certification, and Sign-On Bonus Potential
  • Employee Referral Bonus Program
  • Annual Professional Development
  • 100% Premium Covered for Life & Disability Insurances
  • Additional Voluntary Life Insurance Coverage Available
  • Employee Assistance Program
  • Travel Protection Program
  • Financial Planning Assistance
  • Bereavement and Jury Duty Leave
  • Monthly Team and Family Events
  • Technology Budget
  • Global Entry
  • Annual Swag Budget

Learn more about GliaCell Technologies: https://gliacelltechnologies.applytojob.com/apply/
To apply for this position, respond to this job posting and attach an updated resume for us to review.
GliaCell Technologies, LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.