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Full-time
bachelor degree
Posted 4h ago
~40 hrs/week
Responsibilities
The Data Scientist will perform data cleaning, integration, and quality assurance while developing dashboards and visualizations using tools like Tableau and Power BI. They will also apply statistical methods and machine learning techniques to analyze structured and unstructured data to support mission requirements.
Requirements
Candidates must be U.S. citizens and hold a bachelor's degree in a relevant field or possess at least 7 years of data science experience. Proficiency in Python, statistical analysis, and experience with Activity-Based Intelligence tools are required.
Full job description
Global Dimensions is currently seeking a Data Scientist for a position in Stuttgart, Germany, to support mission-critical data analysis and intelligence requirements.
Essential Job Functions:
Perform data cleaning, preprocessing, integration, and quality assurance to ensure data accuracy and usability.
Conduct data analysis and prepare datasets for visualization and reporting.
Develop dashboards and complex data visualizations using tools such as Tableau and Power BI.
Perform routine data quality checks and identify data inconsistencies or anomalies.
Apply statistical methods, hypothesis testing, and machine learning techniques to support analytical requirements.
Apply AI/ML models to analyze structured and unstructured data.
Utilize Activity-Based Intelligence (ABI) tools and tradecraft to support mission requirements.
Communicate analytical findings and technical information clearly to stakeholders.
Required Skills:
Due to the sensitivity of customer related requirements, U.S. Citizenship is required.
Bachelor's degree in Data Science, Data Engineering, Information Technology, Computer Science, Information Science, or a related field from an accredited institution; or
Minimum 7 years of data science support experience, with a portion of the experience occurring within the last two years.
Experience with Python and automated methodologies.
Knowledge and experience with hypothesis testing, statistical analysis, machine learning, and training solutions.
Knowledge of communication tradecraft techniques.
Experience utilizing ABI tools and tradecraft.
Experience with data preprocessing, integration, quality assurance, and visualization.
Desired Skills:
Previous Intelligence Community (IC) experience.
Experience developing dashboards using Tableau and/or Power BI.
Experience applying AI/ML techniques to unstructured data analysis.
Service. Solutions. Success. Mission First - People Always!
Industry
Defense and Space Manufacturing
Company size
51-200 employees
Founded
2009
Headquarters
Fredericksburg, Virginia
LinkedIn followers
11,740
Global Dimensions is a Certified Service Disabled Veteran Owned, HUBZone, small business. Our core capabilities are in Language, Intelligence, Communications, IT, Cyber, Logistics, and Training. We are dedicated to providing highly skilled personnel with a focus on mission success to our customers, great relations with our teaming partners, and a foundation of respect to our employees.
Offices: 923 Maple Grove Drive, Suite 201, Fredericksburg, Virginia 22407, US
LanguageIntelligenceCommunicationsTraining / EducationLinguistsTranslationCyberInformation TechnologyCultural Advisorsand Information Security
How many Security & Safety jobs are open in Stuttgart, Germany right now?
There are currently 226 open security & safety positions in Stuttgart, Germany listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Security & Safety roles in Stuttgart, Germany?
Companies currently hiring include CACI International Inc, Thales, Drees & Sommer, DEKRA, Booz Allen Hamilton, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Security & Safety jobs in Stuttgart, Germany?
Yes — 91 of the 226 open security & safety positions offer remote or hybrid work (4 remote, 87 hybrid).
How do I apply for Security & Safety jobs in Stuttgart, Germany?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.