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The differences between lead data technicians and senior data scientists can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 6-12 months to become a lead data technician, becoming a senior data scientist takes usually requires 2-4 years. Additionally, a lead data technician has an average salary of $124,928, which is higher than the $124,093 average annual salary of a senior data scientist.
The top three skills for a lead data technician include python, architecture and java. The most important skills for a senior data scientist are python, data science, and visualization.
| Lead Data Technician | Senior Data Scientist | |
| Yearly salary | $124,928 | $124,093 |
| Hourly rate | $60.06 | $59.66 |
| Growth rate | 7% | 16% |
| Number of jobs | 83,455 | 103,618 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 50% | Bachelor's Degree, 40% |
| Average age | 38 | 41 |
| Years of experience | 12 | 4 |
A Lead Data Technician is responsible for supervising the data science division in developing products focused on the technology of analytics. They provide technical assistance to their team members on how they will inspect, monitor, and repair aircraft machinery and the system and the flight controls. This person is the one who performs the daily maintenance operation, resolves the troubleshooting issues as well as reporting all the log repair and maintenance activities
A senior data scientist is responsible for overseeing the work of the junior data scientist and providing advanced expertise in mathematical and statistical concepts for the analytics and data department. You will perform various tasks, including outlining the work requirements, monitoring the performance of junior data scientists, and assigning tasks to them. Other typical duties include preparing non-technical reports detailing the limitations and successes of projects, providing recommendations on how insights might be utilized to inform business strategy, and keeping up-to-date on the latest trends and developments in data science.
Lead data technicians and senior data scientists have different pay scales, as shown below.
| Lead Data Technician | Senior Data Scientist | |
| Average salary | $124,928 | $124,093 |
| Salary range | Between $92,000 And $169,000 | Between $90,000 And $170,000 |
| Highest paying City | San Francisco, CA | Richmond, CA |
| Highest paying state | Alaska | Washington |
| Best paying company | Meta | Brex |
| Best paying industry | Insurance | Start-up |
There are a few differences between a lead data technician and a senior data scientist in terms of educational background:
| Lead Data Technician | Senior Data Scientist | |
| Most common degree | Bachelor's Degree, 50% | Bachelor's Degree, 40% |
| Most common major | Computer Science | Mathematics |
| Most common college | Stanford University | Columbia University in the City of New York |
Here are the differences between lead data technicians' and senior data scientists' demographics:
| Lead Data Technician | Senior Data Scientist | |
| Average age | 38 | 41 |
| Gender ratio | Male, 76.1% Female, 23.9% | Male, 86.5% Female, 13.5% |
| Race ratio | Black or African American, 9.3% Unknown, 6.0% Hispanic or Latino, 16.5% Asian, 11.9% White, 55.2% American Indian and Alaska Native, 1.1% | Black or African American, 4.2% Unknown, 5.4% Hispanic or Latino, 6.9% Asian, 18.8% White, 64.2% American Indian and Alaska Native, 0.6% |
| LGBT Percentage | 8% | 9% |