As of July 2026, the average salary for Data Scientist at Team Arrayo in the United States is $116,741 per year, which is equivalent to an hourly rate of approximately $56. Most salaries for this position fall within the range of $106,879 to $126,382 annually.
DISCLAIMER: The salary range presented here is an estimation that has been derived from our proprietary algorithm. It should be noted that this range does not originate from the company's factual payroll records or survey data.
View detailed salary information by job role at Team Arrayo. This section highlights salary ranges and average pay across different job categories to help you understand potential earnings and compensation within the company.
$315,823 / year
Salary Range: $261,828 - $378,238
Operations
$201,295 / year
Salary Range: $180,735 - $218,655
Business Development
$147,752 / year
Salary Range: $135,636 - $161,602
Business Data Analysis
$110,549 / year
Salary Range: $100,976 - $119,897
Web Software Development
$102,683 / year
Salary Range: $90,749 - $115,258
CAE Design Engineering
To succeed and maximize your earning potential as a Data Scientist at Team Arrayo, 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.
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| 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.
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