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Entry Level Junior Data Scientist Jobs (NOW HIRING)

Experience using scientific methods to inform qualitative and quantitative analyses. Ability to work effectively in a collaborative and fast-paced environment. TS/SCI clearance with a polygraph. HS ...

Experience using scientific methods to inform qualitative and quantitative analyses. Ability to work effectively in a collaborative and fast-paced environment. TS/SCI clearance with a polygraph. HS ...

... junior data scientists and assist in mentoring them in analysis techniques and tools. โ€ข Develop clear, visual reports that effectively communicate complex data findings to non-technical ...

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions ...

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions ...

Summary All Native Group, a division of Ho Chunk Incorporated, is seeking a Junior Data Scientist to support a Federal Agency enterprise data management and analytics program. This role supports the ...

Provide support to junior data scientists and assist in mentoring them in analysis techniques and tools. * Develop clear, visual reports that effectively communicate complex data findings to non ...

Provide support to junior data scientists and assist in mentoring them in analysis techniques and tools. * Develop clear, visual reports that effectively communicate complex data findings to non ...

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Entry Level Junior Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do entry level junior data scientist jobs pay per year?

As of Aug 11, 2026, the average yearly pay for entry level junior data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level junior data scientist, and why are they important?

To thrive as an Entry Level Junior Data Scientist, you need a solid understanding of statistics, programming (commonly in Python or R), and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools (like pandas, NumPy, or Excel), data visualization libraries, and basic machine learning frameworks is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data and share insights clearly. These skills are crucial for transforming raw data into actionable information, enabling businesses to make informed decisions.

What does an entry level junior data scientist do?

An Entry Level Junior Data Scientist assists with collecting, cleaning, and analyzing data to help organizations make informed decisions. They work closely with senior data scientists to learn data processing techniques, build simple models, and create visualizations. Their responsibilities often include supporting data-driven projects, preparing reports, and helping to identify trends or patterns in data. This role is ideal for individuals starting their careers in data science and looking to gain hands-on experience with real-world datasets.

What are some common challenges faced by entry level junior data scientists in their first year on the job?

Entry level junior data scientists often encounter challenges such as adapting to real-world datasets that are messy or incomplete, learning how to communicate technical findings to non-technical stakeholders, and balancing multiple projects with tight deadlines. They may also need to quickly become proficient with new tools or programming languages specific to their organization. However, support from senior team members and opportunities for collaborative learning can help ease this transition and foster professional growth.

What is the difference between Entry Level Junior Data Scientist vs Data Analyst?

AspectEntry Level Junior Data ScientistData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; some certificationsBachelor's in Statistics, Mathematics, or related field; certifications optional
Work EnvironmentCollaborates with data scientists and engineers; focuses on modeling and analysisPrepares reports, visualizations, and interprets data for business decisions
Employer & Industry UsageTech companies, finance, healthcare, and research institutionsRetail, marketing, finance, and consulting firms

While both roles analyze data, Entry Level Junior Data Scientists focus on building models and advanced analysis, often requiring programming skills. Data Analysts primarily interpret data through reports and visualizations. The roles overlap in data handling but differ in technical complexity and focus areas.

What cities are hiring for Entry Level Junior Data Scientist jobs? Cities with the most Entry Level Junior Data Scientist job openings:
What are the most commonly searched types of Junior Data Scientist jobs? The most popular types of Junior Data Scientist jobs are:
What states have the most Entry Level Junior Data Scientist jobs? States with the most job openings for Entry Level Junior Data Scientist jobs include:
Infographic showing various Entry Level Junior Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Junior Data Scientist

Nyla Technology Solutions

Annapolis Junction, MD โ€ข On-site

$114K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago


Job description

Job Description

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED


Kickstart your data career by turning complex numbers into actionable insights! If you have 1+ years of experience with R or Python and love using scientific methods to solve real-world problems, this collaborative, fast-paced team is your perfect launchpad. Dive into modeling, simulation, and predictive analysis!


In this role, you will apply scientific methods to solve complex problems, utilizing your skills in mathematics, statistical analysis, and programming to inform both qualitative and quantitative decisions. If you are ready to turn large-scale datasets into actionable mission solutions, let's achieve more together!
The annual base salary range for this role is $114,000-$140,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

, Required Skills
  • Technical Frameworks: 1+ years of experience in statistics, operations research, or advanced mathematics.

  • Programming Tools: Proven experience with R or Python.

  • Methodological Approach: Experience using scientific methods to drive and inform qualitative and quantitative analyses.

  • Teamwork Agility: Demonstrated ability to work effectively and adapt quickly within a collaborative, fast-paced environment.

Education: Bachelor's degree in Operations Research, Applied Mathematics, or Data Science

, About Nyla Technology Solutions

Nyla Technology Solutions delivers exceptional Artificial Intelligence (AI), Data Science, and Software Engineering services for the U.S. Government. Nyla embraces a forward-thinking and bold approach at every turn, earning us a solid reputation of technical trendsetters within the industry. We have a passion for developing solutions that have a quick and immediate impact on mission. Headquartered in Columbia, Maryland, our customers love how we tackle their most challenging problems and get things done.


If you have the unique experience and expertise we are seeking, along with the desire and determination to invest your time and energy as a part of Nyla’s team,


Taking Care of All of You

Nyla provides a top-of-market compensation and benefits package. And through our unique Nyla FLEX program, we custom tailor these benefits to best fit your lifestyle.


The Nyla FLEX benefit program is designed to offer you flexibility in the 3 biggest areas of your life: your pay, your leave, and your schedule.


PAY - Nyla starts with 4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you’re at the company. You have the flexibility to cash out your annual leave hours, opt out of other Nyla benefits, and/or arrange for additional hours on contract* (over 40 hrs/week). There’s even an option to earn 1.3 times your hourly rate once you work over 1880 hours on contract!


LEAVE - Want to spend more time with the family? Want more time to travel the world? You can BUY additional annual leave for a total of 6 weeks of annual leave. That’s up to 240 hours of leave plus 11 holidays! That’s not even including paid anniversary leave!


SCHEDULE - Does the traditional 40-hour workweek no longer fit your lifestyle? With Nyla FLEX, you have the freedom to scale down to 30-32 hours while still enjoying the top-notch Nyla benefits you know and love. It's flexibility that works for you without compromising the perks!


WHAT ABOUT OTHER BENEFITS? Nyla’s health care (medical, dental, and vision) is 100% covered by the company. We provide 10% 401k matching - with full vesting day 1! Our Professional Development offers $5,000 per year to be used towards fees, tuition, or time off for your continued growth. We even have a student loan repayment program and we provide 8 hours of volunteering annually so you can support your community, making your world a better place.


To learn more about Nyla's culture and our exceptional benefit packages click https://nylatechnologysolutions.com/careers/#culture">here.

Nyla is an equal opportunity employer.