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The differences between senior data scientists and certified medical technicians can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 2-4 years to become a senior data scientist, becoming a certified medical technician takes usually requires 6-12 months. Additionally, a senior data scientist has an average salary of $124,093, which is higher than the $38,859 average annual salary of a certified medical technician.
The top three skills for a senior data scientist include python, data science and visualization. The most important skills for a certified medical technician are patients, vital signs, and CPR.
| Senior Data Scientist | Certified Medical Technician | |
| Yearly salary | $124,093 | $38,859 |
| Hourly rate | $59.66 | $18.68 |
| Growth rate | 16% | 5% |
| Number of jobs | 103,618 | 164,424 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 40% | Bachelor's Degree, 28% |
| Average age | 41 | 44 |
| Years of experience | 4 | 12 |
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.
Certified Medical Technicians are specialists in medical diagnoses by performing laboratory testing and analysis for hospitals and physicians. Their duties include lab sanitization to prepare for testing and collection, recording medical samples for testing, specimen preparation, blood drawing for donation and testing, and assisting physicians with sample collection as well as equipment handling in surgical rooms. They must also understand how to use complex and sensitive testing equipment such as cell counters, analyzers, microscopes, and centrifuges.
Senior data scientists and certified medical technicians have different pay scales, as shown below.
| Senior Data Scientist | Certified Medical Technician | |
| Average salary | $124,093 | $38,859 |
| Salary range | Between $90,000 And $170,000 | Between $28,000 And $53,000 |
| Highest paying City | Richmond, CA | Denton, TX |
| Highest paying state | Washington | Alaska |
| Best paying company | Brex | Favorite Healthcare Staffing |
| Best paying industry | Start-up | Health Care |
There are a few differences between a senior data scientist and a certified medical technician in terms of educational background:
| Senior Data Scientist | Certified Medical Technician | |
| Most common degree | Bachelor's Degree, 40% | Bachelor's Degree, 28% |
| Most common major | Mathematics | Nursing |
| Most common college | Columbia University in the City of New York | University of Connecticut |
Here are the differences between senior data scientists' and certified medical technicians' demographics:
| Senior Data Scientist | Certified Medical Technician | |
| Average age | 41 | 44 |
| Gender ratio | Male, 86.5% Female, 13.5% | Male, 20.4% Female, 79.6% |
| Race ratio | 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% | Black or African American, 15.9% Unknown, 5.0% Hispanic or Latino, 14.6% Asian, 10.0% White, 53.8% American Indian and Alaska Native, 0.8% |
| LGBT Percentage | 9% | 8% |