Remote 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 remote data science junior jobs pay per year?
As of Aug 30, 2026, the average yearly pay for remote 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.
Remote Data Science Junior jobs are entry-level positions in data science that can be performed from any location, often requiring foundational skills in statistics, programming (such as Python or R), and data analysis. Junior data scientists work on tasks like cleaning data, running basic analyses, and supporting more senior data scientists on projects. These roles are ideal for recent graduates or those new to the field who want to gain practical experience while working remotely. Remote positions typically require strong communication skills and the ability to collaborate effectively in a virtual environment.
As a Remote Data Science Junior, collaboration and mentorship are often facilitated through regular video meetings, code reviews, and chat platforms like Slack or Microsoft Teams. You’ll likely participate in daily stand-ups, project planning sessions, and pair programming to stay connected with your team. Many organizations also assign mentors or buddy systems to support junior professionals, offering guidance on technical questions and professional development. Proactive communication and willingness to ask questions are key to thriving in a remote environment.
To thrive as a Remote Data Science Junior, you need a solid grasp of statistics, data analysis, and programming languages such as Python or R, often supported by a relevant degree or coursework. Familiarity with tools like Jupyter Notebooks, SQL databases, and data visualization platforms such as Tableau is typically required. Strong problem-solving abilities, effective communication, and self-motivation are essential soft skills for remote collaboration and independent work. These skills are crucial for efficiently analyzing data, deriving actionable insights, and contributing to team goals from a remote setting.
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