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Data Scientist
Arcfield Reston, VA
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$124k-152k (estimate)
Full Time Just Posted
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Arcfield is Hiring a Data Scientist Near Reston, VA

Overview:

Arcfield is a leading provider of full lifecycle, mission-focused systems engineering and integration capabilities to the U.S. government and its allies. The company has more than 60 years of proven experience providing advanced engineering and analysis, IT and C5ISR capabilities to support our nations most critical national security missions. Headquartered in Chantilly, VA and with 16 offices around the world, Arcfield employs approximately 1,200 engineers, analysts, IT specialists, and other professionals who put our customers missions first, helping them solve their most complex challenges through innovations in modeling, simulation and analysis, digital transformation and C5ISR. Visit arcfield.com for more details.

Responsibilities:

The Data Engineer will support the Sponsors organization with leveraging best practices to implement means to efficiently create, organize, process, store, and utilize data collected from multiple sources. Responsibilities include, but are not limited to:

  • Provide technical expertise in the use of various data applications, tools, and services
  • Evaluate and recommend available data management tools, services, and products to support validated user and/or system requirements
  • Refining (and potential re-defining) existing ETL (extract, transform, load) processes
  • Define file organizations, indexing methods, and security procedures for specific user applications
  • Plan and coordinate security measures-data integrity, backup systems, and database security
Qualifications:
  • Must possess and be able to maintain a TS/SCI clearance with polygraph
  • A degree (or equivalent experience) in Computer Science, Information Systems, Engineering, Business, or a scientific or technical discipline?
  • BS 12-15, MS 10-13, PhD 8-10
  • Analytical and conceptual skills; ability to create original concepts/theories for various projects?
  • Technology Design Adapting equipment and technology to serve user needs?
  • Ability to convert customer or product requirements logically and systematically into total systems solutions that acknowledge technical needs, schedules, and cost constraints?
  • Ability to analyze and study complex system requirements, for example:
    • Perform functional analysis, timeline analysis, cost estimation, trade studies, requirements allocation and interface definition studies to translate customer requirements into hardware and software specifications?
  • Apply the concept of operations set of disciplines for the planning, analysis, design, and construction of information systems across a major sector of the organization?
  • Knowledge of the practical application of engineering science and technology?
  • Experience with activity and data modeling, and ETL development (data processing automation) transaction flow analysis, internal control and risk analysis and modern business methods and performance measurement techniques
  • Experience with Java, Python
  • Experience with Amazon Web Services (AWS) and AWS tool suite that optimizes the managing of data flow
  • Able to implement solutions and critical thinking using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems
  • Experience with successful full life-cycle software development projects
  • Demonstrated knowledge in enterprise data strategy, data governance practices, data stewardship principles, data architecture principles, data standards, and metadata management best practices

Desired Qualifications

  • Ability to convey technical information to non-technical individuals?
  • Ability to work in a dynamic and challenging environment?
  • Strong oral and written communications and interpersonal skills?
  • Complex Problem Solving Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions
  • Experience with Apache NiFi, Machine Learning (ML), Interactive Data Language (IDL)
  • Experience with Sponsors OSN
EEO Statement:

EEO

Arcfield proactively fulfills its role as an equal opportunity employer. We do not discriminate against any employee or applicant for employment because of race, color, sex, religion, age, sexual orientation, gender identity and expression, national origin, marital status, physical or mental disability, status as a Disabled Veteran, Recently Separated Veteran, Active-Duty Wartime or Campaign Badge Veteran, Armed Forces Services Medal, or any other characteristic protected by law.

Job Summary

JOB TYPE

Full Time

SALARY

$124k-152k (estimate)

POST DATE

05/29/2024

EXPIRATION DATE

06/11/2024

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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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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.

02/17/2022: Lompoc, CA

A data scientist develops software to structure the raw data.

02/16/2022: Lansing, MI

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.

02/12/2022: San Diego, CA

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.

02/01/2022: Peoria, IL

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.

01/31/2022: Passaic, NJ

Data scientists lay a solid foundation to help perform all kinds of analysis.

01/31/2022: Champaign, IL

Data scientists are also expected to have stronger software engineering skills that data analysts.

02/19/2022: Springfield, OR

Business analysts are focused on reporting, just like data analysts.

02/04/2022: Jamestown, NY

A data scientist should understand the assumptions that need to be met for each statistical test.

03/04/2022: Hialeah, FL

Step 3: View the best colleges and universities for Data Scientist.

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