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We are currently seeking a Data Scientist to support the DARPA program at NIWC Pacific.
Essential Functions/Job Duties:
Equipment Used:
Typical Working Conditions:
Essential Physical Tasks:
Written Communications:
Verbal Communications:
Skills/Qualifications:
Customer Interface Activities:
Project Management / Staff Supervision Tasks:
Work Schedule:
Travel: <15%
Minimum Education Requirements:
Pay Range: $90,000.00 to $130,000.00 annually, DOE
U.S. Citizenship is required
Security Clearance:
Candidates must have an active TOP SECRET/SCI clearance OR the ability to obtain a US Government TS/SCI security clearance, and will be subject to a US security background investigation (i.e. favorable background investigation / credit score). Additional eligibility requirements for access to various levels of classified information may also be required. An active security clearance is highly desirable.
Tactical Engineering & Analysis, Inc. is an Equal Employment Opportunity/Affirmative Action/Minority/Female/Disability/Protected Veteran Employer
Full Time
IT Outsourcing & Consulting
$119k-147k (estimate)
10/27/2023
02/12/2025
tac-eng.com
SAN DIEGO, CA
100 - 200
1998
ROBERT ROSADO
$10M - $50M
IT Outsourcing & Consulting
Tactical Engineering & Analysis, Inc. (TEA) is a professional services company providing Systems Engineering, Analysis and Software Support for the development of Military Combat Communication Systems. Our technical support facilities are located in San Diego, California; Fredericksburg, Virginia; and Washington, DC. Since 1998, TEA has developed a reputation for providing high quality services to our customers at the Space and Naval Warfare Systems Command (SPAWAR), the Program Executive Office Ships, the Naval Surface Warfare Centers at Dahlgren and Port Hueneme, and the Naval Air Systems Co...mmand. Our experience provides us the background and expertise to offer similar services to other Department of Defense agencies, while continuing to provide and expand our services to existing clients. Tactical Engineering is committed to providing leading edge technical support to our customers in the tactical combat system and related communications systems business areas. Our past performances on many of the programs we have participated in have been well received by our customers.
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The job skills required for Data Scientist include Analysis, Data Science, Machine Learning, Python, Algorithms, Computer Science, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Scientist. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.
If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Scientist job description and responsibilities
Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.
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Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.
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A data scientist develops software to structure the raw data.
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Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.
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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Scientist jobs
Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.
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Data scientists lay a solid foundation to help perform all kinds of analysis.
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Data scientists are also expected to have stronger software engineering skills that data analysts.
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Business analysts are focused on reporting, just like data analysts.
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A data scientist should understand the assumptions that need to be met for each statistical test.
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Step 3: View the best colleges and universities for Data Scientist.