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Data Scientist Graduate Jobs in Colorado (NOW HIRING)

$49K/yr

... graduate education leading to a master's degree or equivalent graduate degree: a) Grade Point ... data science to apply scientific methods and techniques to analyze systems, processes, and/or ...

CO · On-site

$49K/yr

... graduate education leading to a master's degree or equivalent graduate degree: a) Grade Point ... data science to apply scientific methods and techniques to analyze systems, processes, and/or ...

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

... Graduate degree in Computer Science or a related field. • AWS S3 (data storage, export, recall) • Athena (querying data lakes) • Data pipelines (batch & near-real-time) • Integration with ...

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

... Graduate degree in Computer Science or a related field. • AWS S3 (data storage, export, recall) • Athena (querying data lakes) • Data pipelines (batch & near-real-time) • Integration with ...

Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ... Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational ...

The Data Science & AI and Information Design & Engineering teams at Husch Blackwell build systems ... graduate degree preferred. * At least 3-5 years of experience leading data engineering or closely ...

The Data Science & AI and Information Design & Engineering teams at Husch Blackwell build systems ... graduate degree preferred. * At least 3-5 years of experience leading data engineering or closely ...

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Showing results 1-20

Data Scientist Graduate information

See Colorado salary details

$39.4K

$129.1K

$206.6K

How much do data scientist graduate jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data scientist graduate in Colorado is $129,062.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $143,000.00 per year, depending on experience, location, and employer.

What is a data scientist graduate?

A Data Scientist Graduate job is an entry-level role designed for recent graduates with a background in data science, statistics, computer science, or a related field. This position typically involves working with large datasets, building machine learning models, and extracting insights to support business decisions. Graduate data scientists collaborate with experienced professionals to develop analytical solutions while improving their technical skills. They often work with programming languages like Python or R, data visualization tools, and cloud-based platforms. This role provides practical experience and mentorship to help graduates transition into full-fledged data science roles.

What are the key skills and qualifications needed to thrive in the data scientist graduate position, and why are they important?

To thrive as a Data Scientist Graduate, you need a solid understanding of statistics, data analysis, and programming, typically supported by a degree in data science, statistics, computer science, or a related field. Familiarity with tools like Python, R, SQL, and machine learning libraries, as well as data visualization platforms such as Tableau, is often expected; certifications in these areas can be advantageous. Critical thinking, problem-solving, and strong communication skills help you interpret complex data and explain findings to non-technical stakeholders. These abilities are crucial for delivering actionable insights, collaborating across teams, and launching a successful career in data science.

What types of projects or tasks can a data scientist graduate expect to work on during their first year?

As a Data Scientist Graduate, you’ll typically work on tasks such as cleaning and preprocessing data, conducting exploratory data analysis, building and evaluating predictive models, and visualizing results. You may collaborate with more experienced data scientists on larger projects or support cross-functional teams in extracting insights from company data. Expect to use programming languages like Python or R for hands-on analysis, and contribute to regular meetings to discuss project progress and challenges. These experiences help build your technical skills and offer great exposure to real business problems, laying the groundwork for future advancement.

What are the most commonly searched types of Data Scientist Graduate jobs in Colorado? The most popular types of Data Scientist Graduate jobs in Colorado are:
What are popular job titles related to Data Scientist Graduate jobs in Colorado? For Data Scientist Graduate jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Scientist Graduate jobs in Colorado look for? The top searched job categories for Data Scientist Graduate jobs in Colorado are:
What cities in Colorado are hiring for Data Scientist Graduate jobs? Cities in Colorado with the most Data Scientist Graduate job openings:
Infographic showing various Data Scientist Graduate job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,062 per year, or $62 per hour.

Job description

The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval.Qualifications:BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT:
Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
You may qualify if you meet one of the following:
1. GS-7: You must have completed or will complete a 4-year course of study leading to a bachelor's from an accredited institution AND must have documented Superior Academic Achievement (SAA) at the undergraduate level in the following:
a) Grade Point Average 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum.
2. GS-9: You must have completed 2 years of progressively higher-level graduate education leading to a master's degree or equivalent graduate degree:
a) Grade Point Average - 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. If more than 10 percent of total undergraduate credit hours are non-graded, i.e. pass/fail, CLEP, CCAF, DANTES, military credit, etc. you cannot qualify based on GPA.
KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas:
1. Professional knowledge of basic principles, concepts, and practices of data science to apply scientific methods and techniques to analyze systems, processes, and/or operational problems and procedures.
2. Knowledge of mathematics and analysis to perform minor phases of a larger assignment and prepare reports, documentation, and correspondence to communicate factual and procedural information clearly.
3. Skill in applying basic principles, concepts, and practices of the occupation sufficient to perform routine to difficult but well precedented assignments in data science analysis.
4. Ability to analyze, interpret, and apply data science rules and procedures in a variety of situations and recommend solutions to senior analysts.
5. Ability to analyze problems to identify significant factors, gather pertinent data, and recognize solutions.
6. Ability to plan and organize work and confer with co-workers effectively.
PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week.
VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience, transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying.Employment Type: OTHER