Job description

Barbaricum is a rapidly growing government contractor providing leading-edge support to federal customers, with a particular focus on Defense and National Security mission sets. We leverage more than 17 years of support to stakeholders across the federal government, with established and growing capabilities across Intelligence, Analytics, Engineering, Mission Support, and Communications disciplines. Founded in 2008, our mission is to transform the way our customers approach constantly changing and complex problem sets by bringing to bear the latest in technology and the highest caliber of talent. Headquartered in Washington, DC's historic Dupont Circle neighborhood, Barbaricum also has a corporate presence in Tampa, FL, and Bedford, IN, with team members across the United States and around the world. As a leader in our space, we partner with firms in the private sector, academic institutions, and industry associations with a goal of continually building our expertise and capabilities for the benefit of our employees and the customers we support. Through all of this, we have built a vibrant corporate culture diverse in expertise and perspectives with a focus on collaboration and innovation. Our teams are at the frontier of the Nation's most complex and rewarding challenges. Join our team. Barbaricum is seeking an Data Scientist III to directly support the anticipated Naval Surface Warfare Center (NSWC) Crane Division, Model Based Engineering Assessment Division (Code MXM). Code MXM's mission is mission engineering analysis and assessment of complex Naval, DoD, and joint kill chains — with a specialized focus on Electromagnetic Spectrum Operations (EMSO) enabled analysis. As a Data Scientist III, you will apply data science, statistics, and machine learning to Code MXM's EMSO mission engineering — supporting statistical and analytical investigations, data mining, and advanced analytics against large datasets. You will build and maintain the data pipelines and systems that turn EM spectrum data into decision-quality insight. KEY RESPONSIBILITIES Support software integration or testing, including analyzing and implementing test plans and scripts. Apply scripting languages such as Python and R, using packages commonly used in data science and advanced analytics. Apply data science, data mining, statistics, or graph algorithms to support analytics objectives. Apply SQL, NoSQL, API building, ETL pipelines, web application servers, or search index. Use tools such as Python, Jupyter Notebook, Pandas, Numpy, and Requests. Apply complex mathematical and statistical concepts and operations research methods and tools. Employ spreadsheets for data manipulation and visualization. REQUIRED QUALIFICATIONS Active DoD SECRET clearance (minimum); U.S. citizenship required. Master's degree. 10 or more years of professional experience with data science. DESIRED QUALIFICATIONS Relevant industry certification such as CompTIA Cloud Essentials, Microsoft Technical Associate (MTA), Certificate of Cloud Security Knowledge (CCSK), CompTIA A+, CompTIA Security+, EMC Data Science Associate (EMCDSA), Cloudera Certified Data Scientist (CCDH), Certified Apache Hadoop Developer (HCAHD), CISSP, Cloudera Certified Professional (CCP), MCPD, MCSD, MCSE / Private Cloud, or Cloudera Certified Administrator for Apache Hadoop (CCAH). EEO Commitment All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.

Requirements

Must-haves

Support software integration or testing, including analyzing and implementing test plans and scripts.
Apply scripting languages such as Python and R, using packages commonly used in data science and advanced analytics.
Apply data science, data mining, statistics, or graph algorithms to support analytics objectives.
Apply SQL, NoSQL, API building, ETL pipelines, web application servers, or search index.
Use tools such as Python, Jupyter Notebook, Pandas, Numpy, and Requests.
Apply complex mathematical and statistical concepts and operations research methods and tools.
Employ spreadsheets for data manipulation and visualization.
Active DoD SECRET clearance (minimum); U.S. citizenship required.
Master's degree.
10 or more years of professional experience with data science.

Nice-to-haves

EEO Commitment

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningpythonsqlapi

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Vision