Data Scientist/Data Analytics Practitioner

Noblis, Inc. Bridgeport , WV 26330

Posted 2 months ago

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Responsibilities

Noblis and our wholly owned subsidiary, Noblis ESI, are solving difficult problems that help our government and our country. We bring the best of scientific thought, management, and engineering expertise with a reputation for independence and objectivity. We support a wide range of government and industry clients in the areas of national security, intelligence, transportation, healthcare, environmental sustainability, and enterprise engineering.

The selected individual will be an integral member of Noblis' data analytics team. The successful candidate will need to be a self-motivated individual with a desire to work on the cutting edge of high performance computing, data science, and advanced analytics. The work will encompass diverse disciplines as the team helps projects throughout the different Noblis client mission domains.

Typical duties and responsibilities include:

Support local and federal law enforcement agencies by exploring, identifing, and investigating patterns in their temporal, geo-spatial, and contextual data
Exploit identified patterns in the design and implementation of tools that support local and federal law enforcement missions
Communicate findings to analysis team and law enforcement leadership

Client Engagement

Begin developing relationships one level up and two levels down. Identify and support opportunities to expand project scope beyond current deliverable and actively share information about clients' emerging support needs and trends with team members and management. Participate on proposals

Qualifications

Required Qualifications:

Bachelor's Degree in a STEM field such as: computer science, statistics, electrical engineering, mechanical engineering, computer engineering, mathematics, and physics
Minimum 3 years of experience working in any of the fields related to data science such as: statistical modeling, information retrieval, graph analysis, data mining, machine learning, image processing, computer vision, and/or geo-spatial analytics
Ability to work with datasets of different sizes and formats. The ideal candidate will have a strong understanding of data preprocessing (e.g., ETL, data munging, and cleaning), analysis, and visualization techniques
Statistical analysis and modeling in Python (SciPy, NumPy, NetworkX, scikit-learn) or other similar toolkits
Strong collaboration and communication skills. Ability to present material to audiences of differing technical aptitude
Comfortable working in both Linux and Windows environments
Clearance: Active TS with the ability to obtain an SCI

Highly Desired:

Familiar with neural networks, cluster analysis, decision trees, collaborative filtering, and geo-spatial analysis. Understanding and application of feature engineering, extraction and reduction
Experience with rapid-prototyping, algorithm development, implementation, application, and adaptation from free open-source software (FOSS) projects
Familiar with software engineering and development best practices (agile software development)

Overview

Noblis and our wholly owned subsidiary, Noblis ESI, tackle the nation's toughest problems and apply advanced solutions to our clients' most critical missions. We bring the best of scientific thought, management and engineering expertise together in an environment of independence and objectivity to deliver enduring impact on federal missions. Noblis works with a wide range of government clients in the defense, intelligence and federal civil sectors. Learn more at Noblis -About Us

Why work at a Noblis company?

Our employees find greater meaning in their work and balance the other things in life that matter to them. Our people are our greatest asset. They are exceptionally skilled, knowledgeable, team-oriented, and mission-driven individuals who want to do work that matters and benefits the public. Noblis has won numerous workplace awards. Noblis maintains a drug-free workplace.

Noblis is an Equal Opportunity Employer. Employment decisions are made without regard to race (as well as because of or on the basis of traits historically associated with race, including hair texture, hair type, and protective hairstyles such as braids, locks, and twists), color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, pregnancy, childbirth, lactation and related medical conditions, genetic factors, military/veteran status, or other characteristics protected by law.

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Additional locations (continued from Other InformationSarasota, FL; Savannah, GA; Tallahassee, FL; Tampa, FL; West Palm Beach, FL; Wilmington, NC; Albuquerque, NM; Bakersfield, CA; El Monte, CA; Fresno, CA; Glendale, AZ; Glendale, CA; Laguna Niguel, CA; Long Beach, CA; Los Angeles, CA; Los Angeles, (Woodland Hills) CA; Mesa, AZ; Palm Springs, CA; Phoenix, AZ; San Bernardino, CA; San Diego, CA; San Marcos, CA; Santa Ana, CA; Santa Barbara, CA; Santa Clarita, CA; Tucson, AZ; Visalia, CA; Annapolis, MD; Newark, DE; Baltimore, MD; Frederick, MD; Hagerstown, MD; Bethlehem, PA; Wilkes Barre, PA; Cincinnati, OH; Columbus, OH; Dayton, OH; Evansville, IN; Paducah, KY; Harrisburg, PA; Lancaster, PA; Independence, OH; Youngstown, OH; Canton, OH; Indianapolis, IN; Carmel, IN; Lafayette, IN; Knoxville, TN; Chattanooga, TN; Louisville, KY; Media, PA; King Of Prussia, PA; Horsham, PA; Memphis, TN; Nashville, TN; Pittsburgh, PA; Bridgeport, WV; Richmond, VA; Hampton, VA; Fredericksburg, VA; Toledo, OH; Fort Wayne, IN; Merrillville, IN; Washington, DC; Vienna, VA; Austin, TX; Baton Rouge, LA; Beaumont, TX; Birmingham, AL; Dallas, TX; Farmers Branch, TX; Additional locations are under How You Will Be Evaluated

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