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LABOR CATEGORY: Technical Consultant Intermediate
SEHLKE POSITION TITLE: Data Scientist (Senior Consultant)
LOCATION: Arlington, VA
JOB DESCRIPTION:
Primary Responsibilities:
CLEARANCE REQUIREMENTS: Required active SECRET clearance with TS/SCI eligibility
EDUCATION REQUIREMENTS
Mandatory: Bachelor’s degree in Data Science, Business Analytics, Computer Science, Economics, or related field.
Waiverable/Substitutable:
CERTIFICATION REQUIREMENTS:
Mandatory:
Waiverable/Substitutable:
EXPERIENCE REQUIREMENTS: 3 years relating to data science/analysis
ADDITIONAL REQUIREMENTS:
To be eligible for employment, you must be fully vaccinated, except in limited circumstances where an employee is legally entitled to an accommodation, by January 4th, 2022 or your start date, whichever is second in time. People are considered fully vaccinated for COVID-19 two weeks after they have received the second dose in a two-dose series, or two weeks after they have received a single-dose vaccine. If you think you are entitled to an accommodation, please advise your Sehlke liaison and they will consult our human resource leads for consideration.
Founded in 2011, Sehlke Consulting is headquartered in Arlington, VA – an Equal Opportunity Employer that values the strength diversity brings to the workplace. Individuals with Disabilities and Protected Veterans are encouraged to apply.
Full Time
$107k-132k (estimate)
03/09/2023
05/09/2024
sehlkeconsulting.com
ARLINGTON, VA
100 - 200
2011
Private
ROBERT CAMARDA
$10M - $50M
Sehlke is a consultancy firm that provides financial, acquisition, logistics and supply chain management services.
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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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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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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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A data scientist should understand the assumptions that need to be met for each statistical test.
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