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Entry Level Statistics Jobs in Colorado (NOW HIRING)

Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or anyone looking ... entry level position each additional Technical skill helps a candidate's resume to be picked by ...

AI & Machine Learning Engineer

Denver, CO

$117K - $141K/yr

Currently, we are looking for qualified entry-level Data Scientists who can apply Data Science ... Must have Mathematics or Statistics background Technical and Soft Skills Required * Experience in ...

In this onsite role, you will use machine learning and statistical methods to develop and implement ... entry-level employees. The ability to relate to different types of people and understand their ...

In this onsite role, you will use machine learning and statistical methods to develop and implement ... entry-level employees. The ability to relate to different types of people and understand their ...

In this onsite role, you will use machine learning and statistical methods to develop and implement ... entry-level employees. The ability to relate to different types of people and understand their ...

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Entry Level Statistics information

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$11

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$28

How much do entry level statistics jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for entry level statistics in Colorado is $20.03, according to ZipRecruiter salary data. Most workers in this role earn between $16.92 and $22.50 per hour, depending on experience, location, and employer.

What are entry level statistics jobs?

Entry level statistics jobs are positions designed for individuals who are just starting their careers in data analysis and statistical fields. These roles typically involve tasks such as collecting, analyzing, and interpreting data, as well as creating reports and visualizations to support decision-making. Common job titles include statistical assistant, data analyst, or research assistant. Entry level positions usually require a bachelor’s degree in statistics, mathematics, or a related field, and proficiency in statistical software like Excel, R, or SPSS.

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

To thrive as an Entry Level Statistician, you need a solid background in mathematics, statistical analysis, and a relevant degree such as statistics, mathematics, or a related field. Familiarity with statistical software like R, SAS, SPSS, or Python is typically required, and knowledge of data visualization tools is a plus. Strong analytical thinking, attention to detail, and effective communication skills help you interpret and explain complex data findings to diverse audiences. These competencies are crucial for delivering accurate insights and supporting data-driven decision-making within organizations.

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

AspectEntry Level StatisticsData Analyst
Required CredentialsBachelor's in Statistics, Mathematics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentResearch, academia, entry-level corporate rolesBusiness, finance, healthcare, technology sectors
Employer UsageAcademic institutions, research organizations, entry-level corporate rolesCompanies analyzing data to inform decisions, reporting, and strategy

Entry Level Statistics and Data Analyst roles often require similar educational backgrounds, focusing on statistical and analytical skills. While Entry Level Statistics may lean more towards theoretical and research-oriented tasks, Data Analysts typically work directly with business data to generate insights. Both roles are common in various industries and serve as foundational positions for careers in data and analytics.

What types of projects or tasks can I expect to work on in an entry-level statistics role?

In an entry-level statistics position, you can expect to work on tasks such as collecting, cleaning, and organizing data sets, performing basic statistical analyses like descriptive statistics or regression, and assisting in the preparation of reports or presentations. You may also support senior statisticians with experimental design, data visualization, and quality control checks. Collaboration with team members from departments like data science, research, or business analytics is common, and you'll often use statistical software such as R, SAS, or Python to carry out your work.
What are the most commonly searched types of Statistics jobs in Colorado? The most popular types of Statistics jobs in Colorado are:
What are popular job titles related to Entry Level Statistics jobs in Colorado? For Entry Level Statistics jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Entry Level Statistics jobs in Colorado look for? The top searched job categories for Entry Level Statistics jobs in Colorado are:
What cities in Colorado are hiring for Entry Level Statistics jobs? Cities in Colorado with the most Entry Level Statistics job openings:
Infographic showing various Entry Level Statistics job openings in Colorado as of May 2026, with employment types broken down into 1% As Needed, 25% Full Time, 73% Part Time, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $41,671 per year, or $20 per hour.
Entry Level Java React Developer

Entry Level Java React Developer

SynergisticIT

Denver, CO

Other

Posted 10 days ago


Job description

Synergisticit Job Opportunities

Since 2010 SynergisticIT has helped jobseekers get employed in the tech job market by providing candidates the requisite skills, experience, and technical competence to outperform at interviews and at clients. The tech job market has been affected by massive layoffs and since 2021 there have been more than 600,000 tech layoffs. The job market is hyper competitive. For 1 position 500-1000 candidates or more are applying and laid off job seekers are also competing for entry-level job positions.

We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart lab s etc to name a few. We are continuously looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, data engineers, machine learning engineers for full time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry.

We need data science/machine learning/data analyst and Java full stack candidates. Preferred skills for Java/full stack/devops positions include a bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT knowledge of core Java, javascript, C++ or software programming. Spring boot, microservices, Docker, Jenkins, Github, Kubernates and REST API's experience.

For data science/data analyst/AI/machine learning positions preferred skills include an associate or bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT, statistics, mathematics or having good logical aptitude knowledge of statistics, gen AI, LLM, Sagemaker, Python, computer vision, data visualization tools. Candidates lacking technical skills can research our other programs which can assist in landing a job.

If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates.