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Data Scientist

McIntire Solutions, LLC

Virginia, United States (On-site)

Data Scientist

1 Year ago • 3-5 Years • Data Analyst • Undisclosed

About the job

4 skills required for this role

Add these skills to join the top 1% applicants for this job

algorithms

aws

linux

data-analytics

Job Description

Data Scientist with TS/SCI clearance required. 3+ years of experience in cloud applications, big data analytics, and Linux. Must have DoD 8570.1 IAT Level II or higher.

Must have:

TS/SCI clearance
Cloud Applications
Big Data Analytics
Linux Experience

Good to have:

COTS Technologies
AWS Automation
Elastic Stack
Predictive Modeling

Perks:

Veteran Owned
Equal Opportunities

About the job

Title:Data Scientist

Location: Chantilly, VA (on-site)

Clearance:Current and activeTS/SCI with CI Polygraph(REQUIRED)

McIntire Solutions LLC is seekinga Data Scientistto join our team in Chantilly, VA.

Responsibilities

Support advanced cloud application architecture – experience designing and implementing complex multi-component cloud application solutions

Support resilient applications design -applications that leverage more than one section of the cloud for residency and fault tolerance

Support big data analytics – this is a broad field that includes machine learning, data curation, building data pipelines, etc

Provide Linux appliance maintenance – CentOS based Linux appliance management

Support cloud automation scripting – AWS cloud automation scripting and service interaction

Support elastic stack operations and maintenance – this is specific to the Elastic stack more recent versions which include the machine learning and big data analytics applications

Produce innovative solutions driven by exploratory data analysis from complex and high dimensional datasets

Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement

Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data

Generate and test hypotheses and analyze and interpret the results of product experiments. Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation

May provide work leadership to junior level employees

Required Qualifications

TS/SCI with CI Poly

Master’s Degree in Engineering, Computer Science, Information Technology, or Science, Technology, Engineering and Mathematics (STEM) related field with three years of experience or a Bachelor’s Degree in Engineering, Computer Science, Information Technology, or Science, Technology, Engineering and Mathematics (STEM) related field with at least five years of experience

Experience with COTS technologies used in a Cybersecurity Engineering environment desired

Must possess the required DoD Directive 8570.1 IAT Level II or higher certification

McIntire Solutions, LLC is a veteran owned small business based in Northern Virginia and provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, McIntire Solutions, LLC complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

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About The Company

McIntire Solutions, LLC

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McIntire Solutions, LLC provides business, engineering and technology expertise to the Intelligence Community, Department of Defense and the Federal Government. With focus in areas of transformation, integration and modernization, we develop IT solutions through teamwork and collaboration to deliver innovative and mission impacting results. Learn more about our team and find your next career opportunity at: http://www.mcintiresolutions.com

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