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Data Science Entry Jobs in Colorado (NOW HIRING)

GliaCell Technologies

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 ...

GliaCell Technologies

Data Scientist

Aurora, CO · On-site

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 ...

GliaCell Technologies

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 ...

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How much do data science entry jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for data science entry in Colorado is $20.48, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $22.98 per hour, depending on experience, location, and employer.

How do I become a data scientist with no experience?

To become a data scientist with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining hands-on experience with projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning frameworks can help demonstrate your abilities to employers.

Can I work a data entry job with no experience?

Data entry jobs typically require basic computer skills and attention to detail but often do not require prior experience. Many employers offer entry-level positions that provide on-the-job training, making it possible to start without previous experience. Familiarity with tools like spreadsheets and data management software can be helpful.

What types of projects can entry-level data scientists expect to work on, and how do these projects support team goals?

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.

What are Data Science Entry jobs?

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.

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 not always mandatory, candidates typically need relevant coursework, projects, or certifications to demonstrate their skills to employers.

What are the key skills and qualifications needed to thrive as an Entry-Level Data Scientist, and why are they important?

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.

Is 40 too late for data science?

Data science entry-level roles do not have an age limit, and many professionals start careers in their 30s or later. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.
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Data Science Entry jobs near you
Data Scientist

Data Scientist

GliaCell Technologies

Aurora, CO • On-site

$50K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days 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.

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