As of September 2026, the average salary for Manager, Data Science at Machinify in the United States is $178,630 per year, which is equivalent to an hourly rate of approximately $86. Most salaries for this position fall within the range of $163,010 to $192,518 annually.
View detailed salary information by job role at Machinify. This section highlights salary ranges and average pay across different job categories to help you understand potential earnings and compensation within the company.
$558,197 / year
Salary Range: $440,125 - $706,585
Executive
$288,505 / year
Salary Range: $262,308 - $314,853
Business Development
$271,228 / year
Salary Range: $242,506 - $303,477
Sales
$247,137 / year
Salary Range: $224,387 - $265,994
Strategic Planning
$234,662 / year
Salary Range: $207,429 - $261,520
Account Management
$226,631 / year
Salary Range: $200,699 - $253,659
Sales
$223,302 / year
Salary Range: $204,015 - $240,646
Engineering Management
$197,236 / year
Salary Range: $178,935 - $210,028
Data Science
$164,261 / year
Salary Range: $141,271 - $192,739
Art Direction
$160,282 / year
Salary Range: $144,861 - $174,524
DevOps Engineering
$139,845 / year
Salary Range: $129,584 - $149,021
Software Development
To succeed and maximize your earning potential as a Manager, Data Science at Machinify, 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 |
|---|---|---|
| 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. | |
| Analysis | Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it. | |
| 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 Manager, Data Science can help you plan long-term professional growth. Below is a typical career progression for a Manager, Data Science, highlighting common next-step roles and opportunities for increased responsibility and compensation.
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