Data Scientist
Data Scientist
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1 Vacancy
Job Description
Job Title: Data Scientist
Location: Fort Meade MD (OnSite)
Experience Level: MidSenior
Education Level: Bachelors Degree in a quantitative discipline (e.g. Statistics Mathematics Operations Research Engineering or Computer Science)
Job Function: Information Technology
Industry: Defense & Space
Job Type: FullTime
Clearance Required: TS/SCI with Full Scope Polygraph
About the Role:
We are seeking an experienced Data Scientist to develop and implement advanced machine learning data mining and statistical models to analyze complex datasets. This position involves working on diverse and challenging problems building scalable solutions and partnering with multidisciplinary teams to deliver actionable insights for missioncritical operations.
Key Responsibilities:
- Develop machine learning data mining statistical and graphbased algorithms to analyze complex datasets.
- Prototype and evaluate algorithms selecting the best model based on performance metrics.
- Create experiments to generate or simulate datasets when required data is unavailable.
- Produce detailed reports and visualizations that summarize findings and provide datadriven insights.
- Partner with subject matter experts to translate manual data analysis workflows into automated analytics.
- Implement prototype algorithms within production frameworks for operational use.
- Collaborate with software engineers and cloud developers to deploy productionready analytics.
- Develop and train machine learning systems using statistical data analysis to automate mission workflows.
Required Qualifications:
- Education and Experience:
- Bachelors degree 7 years of experience Masters degree 5 years or PhD 2 years in a relevant field.
- Technical Skills:
- Proficiency with data analysis tools such as R Python SAS or MATLAB.
- Ability to develop feature vectors and select appropriate machine learning algorithms.
- Experience evaluating analytics performance using techniques like crossvalidation ROC curves and confusion matrices.
- Ability to guide analytic development for scalability with large datasets.
- Key Competencies:
- Strong analytical problemsolving and communication skills.
- Proven ability to collaborate with interdisciplinary teams and stakeholders.
Preferred Qualifications:
- Familiarity with cloud platforms and production environments.
- Experience integrating machine learning systems into operational workflows.
Additional Details:
- Relocation Assistance: Not available.
- Visa Sponsorship Eligibility: Not available.
Employment Type
Full Time
