As of July 2026, the average salary for Data Scientist at Splitwise in the United States is $108,770 per year, which is equivalent to an hourly rate of approximately $52. Most salaries for this position fall within the range of $99,569 to $117,735 annually.
View detailed salary information by job role at Splitwise. This section highlights salary ranges and average pay across different job categories to help you understand potential earnings and compensation within the company.
$773,314 / year
Salary Range: $592,662 - $972,620
Executive
$773,314 / year
Salary Range: $592,662 - $972,620
Executive
$159,598 / year
Salary Range: $142,157 - $180,708
Sales & Marketing
$140,356 / year
Salary Range: $131,941 - $156,699
Operations
$120,177 / year
Salary Range: $108,609 - $132,195
Human Resources
$106,416 / year
Salary Range: $92,664 - $115,555
Operations
$96,170 / year
Salary Range: $85,289 - $106,918
Mobile Applications
$96,170 / year
Salary Range: $85,289 - $106,918
Mobile Applications
$59,850 / year
Salary Range: $54,724 - $65,940
Design
To succeed and maximize your earning potential as a Data Scientist at Splitwise, 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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