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

CU Denver

Entry Level Histotechnologist

Aurora, CO · On-site

Our work is value driven and focused on scientific investigation, lifelong learning, and a balance ... Experience entering data into an electronic information system. * Experience purchasing and ...

Intertek

Building Science Testing Technician

Denver, CO · On-site

$20 - $30/hr

Entry Level Testing Technician - Denver, Colorado Intertek, a leading provider of quality and ... Provide assessment of data through reporting * Work utilizing drawings, specifications and diagrams

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Entry Level Data Science information

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How much do entry level data science jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for entry level data science in Denver, CO is $19.61, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $22.02 per hour, depending on experience, location, and employer.

What is an entry level data scientist?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

What types of projects or tasks can I expect to work on as an entry level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

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 strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to gain experience.

How to start a career in entry level data science with no experience?

To start a career in entry level data science with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, earning certifications, and working on personal projects or internships can demonstrate your abilities to employers and help you gain practical experience.

What are the most commonly searched types of Data Science jobs in Denver, CO?

The most popular types of Data Science jobs in Denver, CO are:

What are popular job titles related to Entry Level Data Science jobs in Denver, CO?

For Entry Level Data Science jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Science jobs in Denver, CO look for?

The top searched job categories for Entry Level Data Science jobs in Denver, CO are:

What cities near Denver, CO are hiring for Entry Level Data Science jobs?

Cities near Denver, CO with the most Entry Level Data Science job openings:

Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in Denver, CO as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 100% In-person job distribution, with an average salary of $40,790 per year, or $19.6 per hour.

Entry-level Pharma Biochemist

Cogent Scientific

Louisville, CO • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

Entry-level Pharma Biochemist

Cogent Scientific, an insourced contract research organization, is looking for the right people to accomplish our mission: to support the life sciences industry by cultivating and empowering exceptional scientists to deliver specialized laboratory services that advance research, foster collaboration, and accelerate innovation through quality and a shared commitment to excellence. We can offer you the chance to build on your skills and knowledge while working among experts in their fields and with cutting-edge instrumentation.

Cogent Scientific offers competitive pay, attractive benefits (such as medical/dental/vision insurance; 401(k); parental leave; PTO and paid holidays; etc.) and an exciting work environment. This position may include relocation benefits as well. We aim to recruit the best people who stand out among their peers and embody our core values:

  • Client Focused: We only succeed when our clients succeed.
  • Outstanding: We deliver meticulous results through outstanding performance.
  • Good: We act ethically and morally.
  • Employee-Centric: We honor and support our employees.
  • Nimbly: We are prepared to adapt in an ever-changing industry.
  • Team-Oriented: We collaborate with each other and with our clients.

Job duties include, but are not limited to, the following:

  • Perform quantitative in-vivo ICP-MS and LC-MS/MS analysis of biological samples, including tissue homogenization and digestion.
    • Must be familiar with sample preparation techniques in a bioanalytical laboratory.
    • Experience with Agilent ICP-MS, MassHunter software or any LC/MS system will be an added advantage.
    • Experience with microwave digestion and homogenization sample preparation is a plus.
  • Operate basic laboratory equipment and mass spectrometer systems.
    • Must have hands-on experience with wet laboratory techniques: weighing, pipetting and digestion of biological matrices.
    • Experience handling and working with biohazard and chemical hazard would be advantageous.
  • Generate, analyze, and process data and assist with report writing.
    • Must be proficient in MS Office (Excel, Word, PowerPoint, etc.).
    • Prior presentation skills would be advantageous.
    • Experience with a LIMS system and/or an electronic notebook system is desirable.
  • Manage sample receiving, shipping and inventory.

Job requirements include, but are not limited to:

  • BS in Biology, Biochemistry, Molecular Biology, Chemistry, or related field with 1-2 years of experience working in an academic or industry laboratory setting.
    • Familiarity with basic Pharmacokinetic principles is desirable.
  • Team player mentality with strong written and verbal communication skills. Must have good organizational skills and must be detail oriented.
  • The ideal candidate will be enthusiastic and self-motivated, with the leadership and communication skills necessary to operate effectively in a fast-paced multidisciplinary environment with flexibility and an adaptable approach to goal delivery.

This is a day shift position (approx. 8a-5p local time).

Cogent Scientific provides equal employment opportunities to all applicants and does not discriminate based on any legally protected characteristic.

Additionally, if you require a reasonable accommodation during the application or interview process, please let us know.

This job posting will remain open until XXX date or until a qualified candidate has been selected, whichever comes first.

Apply