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Job ID: 2411650
Location: REMOTE WORK, DC, US
Date Posted: 2024-09-06
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-time
Shift: Day Job
Travel: Yes, 25 % of the Time
Minimum Clearance Required: None
Clearance Level Must Be Able to Obtain: Public Trust
Potential for Remote Work: No
Description
SAIC is hiring a Data Scientist for an active contract with the FAA HQ in Washington, DC. This position is remote and the applicant can reside anywhere within the U.S. but must be able to travel to both the SAIC facilities (Reston, VA and Washington D.C.) and the customer facilities (Washington, D.C. and Atlantic City, NJ) on an as-needed basis.
Works in cross-functional teams with data at all stages of the analysis lifecycle to derive actionable insight. Translates mission needs into an end-to-end analytical approach to achieve results. Performs the pre-analytics areas of data collection and understanding, data cleansing and integration, and data storage and retrieval. Determines the appropriate analytics based on the data and the desired outcomes, using techniques including feature detection, statistics, data mining, predictive modeling, machine learning, natural language processing, and business intelligence. Interprets the validity of results and communicates the meaning of those results. Has familiarity with data wrangling, analytics, and visualization software and programming languages, including analytics methods for big data. Follows a scientific approach to generate value from data, verifying results at each step.
Qualifications
Required Qualifications and Skills:
Desired Qualifications and Skills:
Full Time
IT Outsourcing & Consulting
$99k-123k (estimate)
09/11/2024
11/09/2024
saic.com
LAKE HAVASU CITY, AZ
15,000 - 50,000
2013
Public
RICHARD SPANGLER
$5B - $10B
IT Outsourcing & Consulting
SAIC provides lifecycle services and solutions in the technical, engineering, and enterprise IT markets.
The job skills required for Data Scientist include Analysis, Data Science, Machine Learning, Data Mining, Data Analytics, Tableau, 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 III 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.