2

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

The Opportunity: We're looking for an entry level Data Engineer to join the Ookla Data Engineering ... Support and collaborate with data scientists, analysts, and product managers Job Requirements:

Posted today

The Opportunity: We're looking for an entry level Data Engineer to join the Ookla Data Engineering ... Support and collaborate with data scientists, analysts, and product managers Job Requirements:

Posted today

Junior Java/C++ Developer - Remote

Denver, CO · On-site

$69K - $89K/yr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for ...

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

New

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 ...

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

New

next page

Showing results 1-20

Entry Level Data Science information

See Denver, CO salary details

$10

$19

$27

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

As of Aug 7, 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.

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 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:
Infographic showing various Entry Level Data Science job openings in Denver, CO as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $40,790 per year, or $19.6 per hour.

$85K - $125K/yr

Full-time

Posted 16 hours ago

Posted today


Job description

The Opportunity:

We’re looking for an entry level Data Engineer to join the Ookla Data Engineering team and help us process the world’s best collection of data on mobile and fixed internet performance. As a data engineer you will be focused on developing jobs, libraries and operations to support data scientists and analysts as they discover new and exciting ways to apply our data. Applicants should have a strong, data-focused programming background and be passionate about accuracy and performance. You will work on big data using the latest technologies.

Key Responsibilities:

  • Develop high volume data processing jobs across various platforms including Redshift, Athena, Iceberg, Spark and Airflow

  • Debug queries, monitor jobs, identify bottlenecks in system performance and improve efficiency
  • Support and collaborate with data scientists, analysts, and product managers

Job Requirements:

  • Bachelor's degree in Computer Science or related field or equivalent experience

  • 1+ year of professional experience in data engineering

  • Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling

  • Workflow orchestrators (Dagster, Airflow, Prefect)

  • Experience working with Python

  • Strong communication skills both in person and via virtual mediums
  • Background check required

Nice to have:

  • ETL/ELT design patterns

  • Experience with AWS cloud services
  • Experience with high volume distributed data processing in Spark

About 

Ookla, an Accenture company, is a global leader in connectivity intelligence that brings together the trusted expertise of Speedtest®, Downdetector®, Ekahau®, and RootMetrics® to deliver unmatched network and connectivity insights. By combining multi-source data with industry-leading expertise, we transform network performance metrics into strategic, actionable insights.


Our solutions empower service providers, enterprises, and governments with the critical data and insights needed to optimize networks, enhance digital experiences, and help close the digital divide. At the same time, we amplify the real-world experiences of individuals and businesses that rely on connectivity to work, learn, and communicate. From measuring and analyzing connectivity to driving industry innovation, Ookla helps the world stay connected.


About Accenture

Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 799,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com.


Compensation Range

Ookla provides a range for the base pay. Factors that may be used to determine your actual pay may include your specific job related knowledge, skills, experience, and geographic location. The salary compensation for this role is $85,000 to $125,000 annually. Individual pay within the compensation range for this business unit specific role is determined based on a variety of factors including experience, scope of the role, capabilities to perform the role, education and training, as well as business and company performance.