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Junior Data Scientist Jobs (NOW HIRING)

Team Leadership & Mentoring - Guide junior data scientists, run code reviews, define modelling standards, and represent the data science function in cross-functional forums Job / Role Description

Expected to take a lead role in guiding data strategy and mentoring junior data scientists or analysts. Essential Duties & Responsibilities * Fully support, configure, maintain, and upgrade networks ...

Experience with database technologies, including Oracle, SAP, DB2, Teradata, MS SQL Server, SAP HANA, MySQL Qualifications quantitative analysis in data science capabilities predictive & statistical ...

Experience with database technologies, including Oracle, SAP, DB2, Teradata, MS SQL Server, SAP HANA, MySQL Qualifications quantitative analysis in data science capabilities predictive & statistical ...

... Mentor junior data scientists and actively participate in the hiring and interview process. Qualifications : Required : • 3+ years of hands-on Data Science experience. A formal degree is not ...

... Mentor junior data scientists and actively participate in the hiring and interview process. Qualifications : Required : • 3+ years of hands-on Data Science experience. A formal degree is not ...

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Junior Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do junior data scientist jobs pay per year?

As of Jun 14, 2026, the average yearly pay for 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 is the difference between Junior Data Scientist vs Data Analyst?

AspectJunior Data ScientistData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and advanced analyticsFocuses on data cleaning, visualization, and reporting; often works with business teams
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Junior Data Scientists and Data Analysts often share educational backgrounds and work in data-driven industries. However, Junior Data Scientists typically engage in more complex modeling and machine learning tasks, while Data Analysts focus on data visualization and reporting. Both roles are essential for data teams but differ in technical depth and responsibilities.

What are the key skills and qualifications needed to thrive as a Junior Data Scientist, and why are they important?

A Junior Data Scientist needs a solid understanding of statistics, data analysis, and programming languages such as Python or R, typically supported by a degree in mathematics, computer science, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn), and database systems (SQL) is highly valuable. Strong problem-solving abilities, curiosity, and effective communication skills help distinguish individuals in this role. These competencies are essential for extracting insights from data, collaborating with teams, and driving data-informed decision-making.

What types of projects do Junior Data Scientists typically work on, and how do they contribute to larger team goals?

Junior Data Scientists often work on data cleaning, exploratory data analysis, and supporting the development and testing of machine learning models. They usually collaborate with senior data scientists and data engineers, contributing by preparing datasets, running analyses, and creating visualizations to help inform business decisions. This role offers valuable exposure to real-world data challenges and provides opportunities to learn best practices in data science, paving the way for advancement to more complex modeling and project leadership as experience grows.

What are Junior Data Scientists?

Junior Data Scientists are entry-level professionals who assist in analyzing and interpreting complex data to help organizations make informed decisions. They are typically responsible for tasks such as data cleaning, exploratory data analysis, creating basic models, and supporting senior data scientists. Junior Data Scientists often work with tools like Python, R, SQL, and data visualization libraries. They collaborate with other team members to translate business problems into analytical solutions and continuously develop their technical and analytical skills.
More about Junior Data Scientist jobs
What cities are hiring for Junior Data Scientist jobs? Cities with the most Junior Data Scientist job openings:
What are the most commonly searched types of Data Scientist jobs? The most popular types of Data Scientist jobs are:
What states have the most Junior Data Scientist jobs? States with the most job openings for Junior Data Scientist jobs include:
Infographic showing various Junior Data Scientist job openings in the United States as of June 2026, with employment types broken down into 3% Locum Tenens, 74% Full Time, 20% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Junior Data Scientist

Full-time

Medical, Dental, Vision, Life

Posted 25 days ago


Job description

Radiance Technologies is an employee-owned company with benefits that are unmatched by most companies in the Dayton, Ohio area. Employee ownership, generous profit sharing, competitive salaries, full health/dental/life/vision insurance benefits, educational reimbursement, interesting assignments, and a pleasant work environment combine to make Radiance a great place to work and succeed.

We are searching for a talented analyst to join our Modeling, Simulation, & Analysis (MS&A) team in support of various missions in Dayton, OH. The candidate will be expected to enhance analytical efforts that are centered around the Advanced Framework for Simulation, Integration and Modeling (AFSIM) Modeling & Simulation (M&S) framework by tackling complex decision-making challenges using scientific methods like mathematical modeling and statistics. The candidate will be responsible for the following: compose an analysis plan that includes what is being analyzed and how it will be analyzed; build a wide range of models within scenarios; perform verification on these models and scenarios; develop and execute Designs of Experiment (DOEs); analyze experiment output; and generate presentations and reports. The candidate's efforts will directly impact the performance and effectiveness of military operations through deep analysis, simulation, and optimization. The candidate will work closely with both Government stakeholders and Radiance teammates across the country supporting AFRL, NASIC, and other Intelligence Community (IC) missions. We are focused on finding innovative self-starters who can adapt to a fast-paced, high-profile analytical effort.

Required Skills/Qualifications

  • Strong communication and organizational skills

  • Bachelor's degree or higher in Mathematics, Statistics, Data Science, Operations Research, or related field

  • US citizenship with the ability to obtain and maintain a TS/SCI security clearance

Required Experience

  • Minimum of 1 year of analytical experience

  • Some experience in Python

  • Experience using analytical techniques such as descriptive statistics, correlation, and analysis of variance

Desired Qualifications/Experience

  • Experience working with statistical software such as JMP and MATLAB

  • Experience working with DOE software such as Dakota, PIANO, and HAL

  • Experience working with MS&A tools such as AFSIM, NGTS, and ITASE

  • Familiarity with DoD security practices

Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.