Part Time Data Science Junior information
See salary details
$29.5K - $37.6K
5% of jobs
$37.6K - $45.7K
13% of jobs
$49.5K is the 25th percentile. Wages below this are outliers.
$45.7K - $53.8K
16% of jobs
$53.8K - $61.9K
15% of jobs
The median wage is $62.7K / yr.
$61.9K - $70K
20% of jobs
$73.7K is the 75th percentile. Wages above this are outliers.
$70K - $78K
16% of jobs
$86.1K - $94.2K
4% of jobs
$94.2K - $102.3K
5% of jobs
$102.3K - $110.4K
1% of jobs
$110.4K - $118.5K
1% of jobs
How much do part time data science junior jobs pay per year?
As of Aug 30, 2026, the average yearly pay for part time data science junior in the United States is $66,690.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $75,000.00 per year, depending on experience, location, and employer.
A Part Time Data Science Junior assists with data analysis and supports senior data scientists by cleaning, organizing, and interpreting data. They may help build basic models, create visualizations, and generate reports to provide insights. Typically, they work under supervision and are often still learning advanced techniques, making this role ideal for students or recent graduates looking to gain hands-on experience while working fewer hours.
To thrive as a Part Time Data Science Junior, you typically need a foundational understanding of statistics, programming (often in Python or R), and data analysis, supported by coursework or a relevant degree in progress. Familiarity with tools like Jupyter Notebook, SQL databases, and basic machine learning libraries such as scikit-learn is commonly expected. Strong problem-solving, attention to detail, and effective communication skills help you interpret data and collaborate on projects. These skills are crucial for delivering actionable insights, supporting team objectives, and building a solid base for future growth in data science.
As a Part Time Data Science Junior, you will usually work on supporting tasks such as data cleaning, preprocessing, exploratory data analysis, and creating basic visualizations. You might also assist with implementing and testing models under the guidance of more senior data scientists. Work is typically assigned through project management tools or regular team meetings, and you can expect to collaborate closely with other data scientists, analysts, and sometimes business stakeholders. This structure provides valuable hands-on experience while allowing flexibility for your schedule.
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