As of August 2026, the average salary for Data Scientist at Boing in the United States is $108,920 per year, which is equivalent to an hourly rate of approximately $52. Most salaries for this position fall within the range of $99,351 to $118,575 annually.
View detailed salary information by job role at Boing. This section highlights salary ranges and average pay across different job categories to help you understand potential earnings and compensation within the company.
$774,376 / year
Salary Range: $591,366 - $979,564
Executive
$173,056 / year
Salary Range: $156,934 - $189,330
Air Fleet Management
$140,549 / year
Salary Range: $131,652 - $157,818
Operations
$135,577 / year
Salary Range: $115,872 - $153,754
Property Management
$127,838 / year
Salary Range: $110,194 - $143,621
Legal
$115,079 / year
Salary Range: $97,875 - $134,175
Real Estate Acquisitions
$113,175 / year
Salary Range: $104,518 - $121,246
Software Development
$109,205 / year
Salary Range: $97,519 - $118,840
Aerospace Engineering
$106,061 / year
Salary Range: $95,369 - $116,458
Project Management
$104,603 / year
Salary Range: $96,735 - $112,040
Electrical Engineering
$103,682 / year
Salary Range: $95,746 - $111,965
Mechanical Engineering
To succeed and maximize your earning potential as a Data Scientist at Boing, 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.
|
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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