As of July 2026, the average salary for Data Scientist at Electronic Data Information Source in the United States is $94,817 per year, which is equivalent to an hourly rate of approximately $46. Most salaries for this position fall within the range of $86,785 to $102,682 annually.
View detailed salary information by job role at Electronic Data Information Source. This section highlights salary ranges and average pay across different job categories to help you understand potential earnings and compensation within the company.
$187,261 / year
Salary Range: $154,270 - $225,033
Finance
$119,737 / year
Salary Range: $104,476 - $134,231
Program Management
$98,252 / year
Salary Range: $79,984 - $107,225
Environmental and Employee Safety
$92,764 / year
Salary Range: $80,766 - $100,781
Operations
$88,045 / year
Salary Range: $80,186 - $92,935
Environmental Services
$85,994 / year
Salary Range: $72,812 - $145,401
Education
$72,924 / year
Salary Range: $68,120 - $76,979
Clinical Education
$70,928 / year
Salary Range: $62,461 - $78,813
Physician Recruitment
$67,549 / year
Salary Range: $59,613 - $75,795
Management
$62,179 / year
Salary Range: $55,485 - $68,959
Administrative Support
$56,114 / year
Salary Range: $48,870 - $63,295
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To succeed and maximize your earning potential as a Data Scientist at Electronic Data Information Source, a specific set of skills is crucial. The competencies listed below are highly valued. Explore the skills that can boost your compensation.
| Skills | Level of importance | Description |
|---|---|---|
| Analysis | Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it. | |
| Data Science | Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. | |
| Machine Learning | Using mathematical models, data, and algorithms to help a computer learn without direct instruction. | |
| Python |
Applying the concepts and algorithms of Python to design, develop and maintain software applications to comply with business requirements.
|
|
| Insight |
Insight is the understanding cause and effect based on the identification of relationships and behaviors within a model, context, or scenario.
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Understanding the career path for a Data Scientist can help you plan long-term professional growth. Below is a typical career progression for a Data Scientist, highlighting common next-step roles and opportunities for increased responsibility and compensation.
Explore other companies related to Electronic Data Information Source within the same industry. Compare company profiles, services, and insights to see how Electronic Data Information Source aligns with its peers. Click a company to learn more.
Explore related job opportunities to compare salaries, benefits, and career opportunities across different employers. Click on a job title to learn more.
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