breezy
Data Scientist
Zantech
Arlington, USA
Full-time
Senior · 10+ years experience
Onsite
Discovered 1 weeks ago
PythonRSQLTableaumatplotlibAWS Certified Machine Learning - Specialty
Free
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PythonRSQLTableaumatplotlibAWS Certified Machine Learning - Specialty
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Responsibilities include, but will not be limited to
- Design, develop, and deploy predictive, prescriptive, descriptive, and cognitive AI/ML models and dashboards in collaboration with stakeholders
- Apply NLP, network analysis, and bibliometric analysis to S&T portfolio data
- Support automated MLOps lifecycle management, including model registry, drift monitoring, and automated retraining triggers
- Ensure AI/ML outputs comply with Responsible AI (RAI) governance and inherit Row-Level/Column-Level Security controls
- Provide onboarding, training, and ongoing support to build a data-literate workforce
Required Experience or Knowledge of the following technologies/functions
Ten (10)+ years developing and deploying analytical models to address S&T or business requirements within a DoW organization
10 years in data science (statistical analysis, predictive modeling, machine learning, algorithm development in Python, R, and SQL)
10 years in data wrangling and batch/streaming pipeline development, integrating structured and unstructured sources; experience on at least 2 distinct projects applying NLP, network analysis, or bibliometric analysis to S&T portfolio data
10 years using data visualization tools (Tableau, Power BI, matplotlib)
5 years with big data and cloud-based analytics platforms
5 years applying operational analytics to workforce, logistics, or readiness missions.
Skills Required:
Statistical analysis and predictive/prescriptive/descriptive/cognitive modeling
Python, R, SQL; ML/AI model development and MLOps lifecycle management
Natural Language Processing (NLP), network analysis, and bibliometric analysis of S&T data
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