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Entry Level Junior Data Scientist Jobs (NOW HIRING)

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 ...

Data Scientist- Senior Associate

Orlando, FL · On-site

$55K - $55K/yr

... junior data scientists. Responsibilities : • Develop and implement core components of generative AI solutions including RAG pipelines and context engineering features within the established ...

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 ...

Data Scientist- Senior Associate

Dallas, TX · On-site

$58K - $58K/yr

... junior data scientists. Responsibilities : • Develop and implement core components of generative AI solutions including RAG pipelines and context engineering features within the established ...

Data Scientist- Senior Associate

Montvale, NJ · On-site

$61K - $62K/yr

... junior data scientists. Responsibilities : • Develop and implement core components of generative AI solutions including RAG pipelines and context engineering features within the established ...

This is an entry-level, remote role with a flexible schedule , comprehensive healthcare benefits ... computer science, data analysis, statistics, education technology) or 1+ years of related ...

This is an entry-level, remote role with a flexible schedule , comprehensive healthcare benefits ... computer science, data analysis, statistics, education technology) or 1+ years of related ...

Showing results 41-60

Entry Level Junior Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Sep 6, 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 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 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 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:

What job categories do people searching Entry Level Junior Data Scientist jobs look for?

The top searched job categories for Entry Level Junior Data Scientist jobs are:

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, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Data Scientist, Risk Adjustment & ML Pipelines (New York)

Oscar Health Insurance

Manhattan, NY • On-site

Full-time

Posted 5 days ago


Oscar Health rating

6.9

Company rating: 6.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

264th of 315 rated insurance


Job description

Oscar Health Insurance is seeking a Senior Data Scientist to join our Risk Adjustment data team in New York City. The role focuses on designing, building, and maintaining production pipelines and ML models to quantify clinical risk and support submissions.

You will partner with actuarial and internal teams, shape technical direction, and mentor junior data scientists. The position follows a hybrid schedule with three in-office days per week in NYC.

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