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Data Science Entry Level Remote Jobs in Colorado

HR Data Analyst, Talent Analytics

Denver, CO ยท Remote

$90K - $106K/yr

Master's degree in Data Science, Computer Science, Business Analytics or closely related field * 1 ... Remote Welcome to impact. Welcome to innovation. Welcome to your new life.

Radiometric Calibration Engineer

Longmont, CO ยท On-site +1

$107K - $143K/yr

Bachelor's degree in engineering, physics, remote sensing, optical sciences, data science, computer science, or related technical field * Additional relevant experience may substitute for formal ...

Environmental Scientist 1

Lakewood, CO ยท On-site +1

$45K - $55K/yr

Gather, analyze, and interpret data within various regulatory compliance monitoring programs ... What we're looking for: * BS in Environmental Science, Geology, Engineering, Watershed Science or ...

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Data Science Entry Level Remote information

What are some typical challenges entry-level data scientists face when working remotely, and how can they overcome them?

Entry-level data scientists working remotely often encounter challenges such as limited access to mentorship, difficulty in collaborating on complex projects, and adjusting to asynchronous communication. To overcome these, it's important to proactively seek guidance from senior team members through regular check-ins, participate actively in team meetings and online forums, and document your work thoroughly for transparency. Leveraging collaborative tools like shared code repositories and communication platforms can also help maintain strong connections with your team and ensure project alignment.

What are the key skills and qualifications needed to thrive as an entry-level remote Data Scientist, and why are they important?

To thrive as an entry-level remote Data Scientist, you need a solid background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree or certification. Familiarity with tools like Jupyter Notebook, SQL databases, and machine learning libraries such as scikit-learn or TensorFlow is commonly required. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project management. These competencies enable effective data-driven insights, seamless teamwork, and measurable contributions in a distributed work environment.

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

AspectData Science Entry Level RemoteData Analyst Entry Level Remote
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentRemote, collaborative teams, often with cross-functional departmentsRemote, often working independently or with business teams
Employer & Industry UsageTech companies, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare

While both roles are entry-level remote positions involving data, Data Science Entry Level Remote focuses on programming, machine learning, and predictive modeling, whereas Data Analyst Entry Level Remote emphasizes data visualization, reporting, and interpreting data for business insights. Candidates should choose based on their skills and career interests.

What are data science entry level remote jobs?

Data science entry level remote jobs are positions suitable for individuals who are just starting their careers in data science and prefer or require the flexibility to work from home or any location outside the traditional office setting. These roles typically involve tasks such as data cleaning, basic statistical analysis, creating simple data visualizations, and assisting with machine learning projects under supervision. Entry level data scientists often work closely with more experienced team members and use tools like Python, R, SQL, and Excel. Remote roles require good communication skills and self-motivation, as collaboration happens online. These positions are a great way to gain practical experience and develop technical skills in the field of data science.
What are popular job titles related to Data Science Entry Level Remote jobs in Colorado? For Data Science Entry Level Remote jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Data Science Entry Level Remote jobs? Cities in Colorado with the most Data Science Entry Level Remote job openings:
Infographic showing various Data Science Entry Level Remote job openings in Colorado as of May 2026, with employment types broken down into 64% Full Time, 27% Part Time, and 9% Contract. Highlights an 100% Remote job distribution.
Junior Software Engineer (Remote)/Data scientist

Junior Software Engineer (Remote)/Data scientist

SynergisticIT

Denver, CO โ€ข On-site, Remote

Full-time

Posted 18 days ago


Job description

โ€œFailing Tech Interviews? Or No Interviews ? Letโ€™s get You Offers with a Process!

Every job posting attracts hundreds or thousands of applicants, making it nearly impossible to stand out. Most job seekers blame their resume when they donโ€™t get interviews, but the real issue is positioning. A degree gives you a foundation, but employers want more โ€” they want proof you can apply your knowledge in realโ€‘world scenarios.

Employers want candidates who demonstrate practical skills, confidence, and readiness. SynergisticIT gives you the tools to rise above the noise. Getting hired in tech isnโ€™t just about knowing how to code โ€” itโ€™s about proving you can deliver value from day one.

Getting interviews but not converting them into offers is one of the most frustrating stages of a tech job search. Itโ€™s also one of the most fixableโ€”because interview performance is rarely about intelligence. Itโ€™s usually about preparation structure, repetition, communication clarity, and knowing what interviewers actually test.

Many candidates learn coding, but they donโ€™t learn how to present their skills under pressure. SynergisticIT is designed for candidates who want to stop guessing and start improving with a clear framework. Since 2010, SynergisticIT has helped thousands of candidates land full-time jobs at tech leaders and enterprise employersโ€”companies such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Walmart Labs, Citi, JPMC, Bank of America, Deloitte, and many moreโ€”with offers often ranging from $95,000 to $154,000 depending on role and skill depth.

The focus is: build job-ready ability + interview confidence + hiring alignment so you can close the deal when opportunities appear. Why do people fail interviews after doing CS or online courses? Typically itโ€™s one (or several) of these gaps: Weak fundamentals (you know syntax, but not the โ€œwhyโ€) Poor project explanation (you built something, but canโ€™t defend design decisions) Shallow system understanding (APIs, DB design, CI/CD, cloud basics are fuzzy) No repetition under pressure (whiteboard/online assessments feel unfamiliar) Lack of structured mock interview practice SynergisticIT addresses these gaps by treating interviews as a skill you work onโ€”like a sport.

You donโ€™t just watch videos; you practice real drills. We emphasize on real interview patterns: coding questions, debugging, project walkthroughs, behavioral responses, and the ability to speak clearly about your work. What kinds of roles are being targeted?

Instead of chasing every shiny trend, JOPP focuses on roles employers repeatedly hire for: Java full stack, software programming, Python/Java development, DevOps, data analyst, data engineer, data scientist, and ML/AI engineer. In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AIโ€”because companies hire teams, not single-skill candidates. Ideal candidates who benefit from interview-focused help This includes: recent grads with limited experience, laid-off professionals re-entering the market, career changers, candidates with gaps, experienced applicants who canโ€™t convert interviews, and F1/OPT candidates needing a stable path.

SynergisticIT also supports candidates with guidance around STEM extension and offers process support relating to H-1B/Green Card filing once employed (as applicable through employers and standard immigration processes). Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? If youโ€™re already getting interviews, youโ€™re closer than you think.

Now itโ€™s time to train like you mean itโ€”and turn interviews into offers. If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Job Placement Program Contact Form https://www.synergisticit.com/contact-us/ Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also.

Please unsubscribe if contacted or if you donโ€™t want to be contacted please donโ€™t submit your resume.