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Full Time Data Science Jobs in Colorado (NOW HIRING)

My Goodwill

Intern, Data Science

Colorado Springs, CO · On-site

$23 - $27/hr

Work Schedule: Full-Time; 30-40 hours per week; 6-8 hours per day; Monday - Friday This position is ... Current undergraduate or graduate student in Data Science, Statistics, or related field. * Strong ...

Talent Navigation Experts

Data Scientist

Denver, CO · Hybrid

... full-time to work with other Data Science and Machine Learning folks to build and deploy data to their AWS cloud environment. This is a great opportunity in a highly visible hybrid role with great ...

Talent Navigation Experts

Data Scientist

Denver, CO · On-site

... full-time to work with other Data Science and Machine Learning folks to build and deploy data to their AWS cloud environment. This is a great opportunity in a highly visible hybrid role with great ...

Fanatics Betting & Gaming

Data Scientist III

Denver, CO · On-site

$117K - $167K/yr

The role reports into the Decision Science Manager and will focus on creating insight to drive the ... In addition to the base and bonus, full-time employment, and more. For information about our ...

NuView Analytics

Senior Data Analyst

Denver, CO · Remote

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to ... We do this in three ways - data analytics, data diligence, and fractional data science. Our clients ...

Walmart

Senior, Data Scientist

Denver, CO · On-site

This is a full-time, onsite role at our Seattle, WA office. * This position is not eligible for remote work. Role summary: As a Senior Data Scientist at Walmart, you will leverage advanced analytical ...

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Full Time Data Science information

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in machine learning, programming, and domain knowledge remain essential for designing and deploying AI solutions effectively.

Which is better, DS or CS?

Data Science (DS) and Computer Science (CS) are distinct fields; DS focuses on analyzing data to inform decisions using tools like Python and machine learning, while CS emphasizes programming, algorithms, and software development. The choice depends on your interests and career goals, with DS often requiring knowledge of statistics and data visualization, and CS emphasizing coding and system design.

Is 40 too late for data science?

Full-time data science roles typically value skills and experience over age, and many professionals transition into the field later in life. Gaining proficiency in programming languages like Python or R, along with understanding machine learning concepts, can help late entrants succeed. Age is less a barrier than relevant skills and continuous learning.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to improve model performance efficiently.

What is the difference between Full Time Data Science vs Data Analyst?

AspectFull Time Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's degree in Statistics, Business, or related fields
Work EnvironmentCollaborative teams, often in tech, finance, or healthcare industriesBusiness units, marketing, or operations teams
Employer & Industry UsageTech companies, finance, healthcare, and large enterprisesRetail, marketing, finance, and consulting firms
Common Search & ComparisonFull Time Data Science vs Data Analyst

Full Time Data Science roles typically require advanced technical skills and focus on building predictive models and algorithms, while Data Analysts primarily interpret data, generate reports, and support decision-making. Both roles are essential in data-driven organizations but differ in scope and technical depth.

What are the most commonly searched types of Data Science jobs in Colorado? The most popular types of Data Science jobs in Colorado are:
Full Time Data Science jobs near you
Data Scientist

Data Scientist

Air Force Civilian Service

Colorado Springs, CO • On-site

Full-time

Posted 3 days ago

Air Force Civilian Service rating

8.0

Company rating: 8.0 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

19th of 46 rated military and defense

Job description

Job Summary:
Air Force Civilian Service is seeking a full-time Data Scientist Engineer to join NORAD & USNORTHCOM in their mission for decision superiority. The role involves architecting the future of the data ecosystem and leading the strategy and development of AI, ML, and big data solutions that impact national security.
Responsibilities:
• architect the future of our data ecosystem
• spearhead the strategy and development of cutting-edge AI, ML, and big data solutions
• transform complex data into actionable intelligence
• shape the technological landscape of our command
Qualifications:
Required:
• US citizenship is required
• Ability to obtain/maintain a Top Secret/SCI Clearance
• This is a designated drug testing position
• This is a Mission Essential & Key Position. Active Guard and Reserve personnel are not qualified.
• Cyberspace Workforce – required to achieve both the foundational (within 9 months) and resident (within 12 months) qualification requirements.
• Knowledge of quantitative methods, data science, big data analytics, machine learning, AI, and operations research analysis techniques to conceptualize, develop, and apply models for complex problem-solving and decision support.
• Knowledge and skill in designing, developing, and integrating data systems, including cloud platforms, data warehousing, interoperability, system architecture, and lifecycle management.
• Skill in developing and utilizing data collection methods, building models and simulations, and applying predictive analytics to operational and strategic planning.
• Skill in software programming languages (e.g., jQuery, JavaScript, HTML) and applying current software engineering principles to design, develop, test, and implement custom applications and solutions.
• Knowledge of data governance frameworks, standards, metadata schemas, compliance policies, and evaluation methodologies to ensure data integrity, security, and interoperability.
• Employee may be required to work and/or be 'on call' after normal duty hours, which may include evenings, weekends or holidays and is subject to short- or no-notice recall to duty during exercises, crises, or contingencies.
Preferred:
• A nationally recognized professional certification in Data Science, Data Analytics, or a directly related sub-field; and professional experience in operations research or computer science is highly desirable.
• Certified Knowledge Management Practitioner highly desired
• Desired Experience: Knowledge Management, AI, Machine Learning, Data Architect
Company:
A mission to support the men and women in uniform of the United States Air Force with our talent and dedication and service. Founded in 1947, the company is headquartered in Randolph, USA, with a team of 10001+ employees. The company is currently Late Stage.

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