24 Data Scientist Jobs in Chantilly, VA
Waypoint Human Capital is Hiring a Data Scientist Near Chantilly, VA
Position Type: Full-time, Fully On-Site
Location: Chantilly, VA
Clearance: Active TS/SCI w/ CI Poly Description:Waypoint’s client is seeking a Data Scientist to join their growing team! The program provides Systems Engineering and Technical Assistance (SETA) core and non-core support in the areas of Cyber Security and Management to improve the Information Assurance (IA) posture of a National customer. The contracts Core Capabilities are: IA Management, Federal Information Security Management Act (FISMA) coordination and reporting, Risk Management Framework (RMF) application, IA compliance measurements and metrics, Assessment and Authorization (A&A), Vulnerability Management, and Cyber Defense support.Responsibilities: The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. Daily Tasks include, but are not limited to:
- Utilize analytical, statistical, and programming skills to collect, analyze, and interpret large cybersecurity data sets
- Develop data-driven solutions
- Analyze data sets found in the customer's vulnerability scanning, authorization, and configuration management tools
- Import and transform data into usable sets for analysis tools used by the customer (e.g., Tableau)
- Provide analysis and graphical presentations of collected metrics for IA compliance status reporting
- Support legacy visualization and situational awareness tools based on Microsoft Excel
- Collaborate with the Heat Map team to investigate options to simplify and automate the current Heat Map
- Collaborate with RMG teams to develop means to integrate, automate, and provide dynamic visualization capabilities for risk management efforts
- Current U.S. Government Top Secret clearance with SCI eligibility.
- Favorably adjudicated Polygraph.
- Bachelor of Science Degree in Science, Technology, Engineering, or Mathematics (STEM) or an advanced IA certification (i.e., CISSP or CASP)
- DoD 8570 certification in IAT or IAM
- Deep understanding of statistics and analysis
- Skilled in artificial intelligence and machine learning (e.g., SageMaker)
- Ability to code in multiple languages, including Python
- Knowledge of databases, data structures, and data architectures
- Excellent communications skills – both verbal and non-verbal
- Office Automation Skills – MS Office, MS Project, Visio
- Self-starter requiring limited direction and supervision
- Strong attention to detail
- Ability to work in a team environment
- Experience with data visualization tools (e.g., Tableau, Infogram, Chartbloks)
- Experience with data transformation (structured data format/schema transformation) using common programming tools (e.g., Python, JSON, etc.)
- Experience applying statistical analysis to large data sets
- Experience briefing senior customer personnel
- Ability to organize and prioritize numerous customer requests in a fast-paced deadline driven environment
- Familiarity with Amazon Web Services (AWS)
- Familiarity with customer's IA processes
- Experience with ServiceNow and Splunk
- Experience supporting IC or DoD in the Cyber Security Domain
- Familiarity with the RMF process
- Experience with Relational Database Management System (RDMS)
- Experience with Apache Hadoop and the Hadoop Distributed File System
- Experience with Amazon Elastic MapReduce (EMR) and SageMaker
- Experience with Machine Learning or Artificial Intelligence
Job Summary
Full Time
$100k-123k (estimate)
12/13/2023
05/10/2024
The job skills required for Data Scientist include Analysis, Data Science, Machine Learning, Python, Programming, Presentation, 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.
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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.
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