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Company

Iron EagleX, Inc. · 18 hours ago

Data Scientist

Fayetteville, NC

Full-time

Remote

Senior Level

6+ years exp

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Big DataData Mining

Growth Opportunities

No H1B

U.S. Citizen Only

Security Clearance Required

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Responsibilities

Solve complex data problems, discovering fresh insights and delivering data to the user that is timely and establishes unparalleled trust and confidence in the data and services of our customers.

Support Classified Data Science work involving R, Python, and PostgreSQL.

Implement and adapt a variety of machine learning capabilities, from classical statistics to foundation models in natural language processing and computer vision, to disparate data sources in order to extract insights.

Work closely with business and operational customers to understand requirements and their use of data, systems, and tools.

Provide interpretation of new data sources relevant to our user community and recommend ways to apply the data to identify unique insights.

Identify and analyze data shortfalls, hidden insights or anomalies and make recommendations on ways to apply the data and help to codify new data collection or system requirements.

Qualification

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Machine LearningArtificial IntelligencePythonData AnalysisRSQLPostgreSQLETLStatistical ModelingData VisualizationGitMongoDBNumPySciPyMatplotlibScikit-learnLinuxDeep LearningGenAIDockerData CleaningPattern AnalysisPredictive Modeling

Required

Experience working with big data technologies and applying large scale Machine Learning (ML) and Artificial Intelligence (AI) techniques.

Data cleaning, ETL, analysis, and visualization.

Mathematical modeling and statistics.

Strong programming background proficiency in Python, R and SQL

Experience using Git for version control.

Experience with PostgreSQL and/or MongoDB.

Experience with Python libraries including NumPy, SciPy, Matlotlib, scikit-learn, etc.

Experience with developing in a Linux environment.

Experience in a variety of ML/AI algorithms (supervised, unsupervised, deep learning, GenAI, etc.).

Experience with Docker containers, to include containerizing models and writing Dockerfiles.

Experience working with data sets from multiple disparate sources, to include unstructured data.

Ability to communicate data analysis results in a clear and concise manner to a variety of technical and non-technical audiences.

Must be able to define and document appropriate advanced analytic methods, predictive analysis, pattern analysis, and the like.

Define and document appropriate advanced analytic methods for selection, categorization, and predictive modeling.

Create algorithms or predictive models that can be put into production, working closely with backend developers, cybersecurity professionals, and DevOps engineers.

Actively monitor algorithms and provide recommendations to update as needed.

Develop and document methodologies for analyzing all types of data and determine patterns in the data.

6+ years of experience providing services similar to required tasks, scope and complexity.

Due to US Government Contract Requirements, only US Citizens are eligible for this role.

Bachelor or Masters Degree in a relevant technical field such as mathematics, statistics, computer science, and physics.

Top Secret Clearance with the ability to obtain a SCI is required.