3 дня назад
Data Scientist (AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (AI/ML): Designing and implementing statistical and AI/ML models for product safety analytics with an accent on semantic analysis, explainable insights, and model evaluation. Focus on building predictive, anomaly detection, classification, regression, and product similarity models, optimizing workflows in Azure, and improving performance, scalability, and fairness.
Location: Bethesda, Maryland, United States
Company
is a consulting and information technology solutions provider supporting public-sector health, civilian, and national security missions.
What you will do
- Design, implement, maintain, and improve statistical and AI/ML models for product safety analytics.
- Build product similarity, predictive, anomaly detection, classification, regression, and pattern-recognition models.
- Apply semantic coding and analysis to structured and unstructured data to uncover patterns and thematic insights.
- Evaluate model accuracy, reliability, and fairness using precision, recall, F1-score, AUC, testing, validation, and tuning.
- Translate complex findings into actionable insights through explainable analytics, data storytelling, and visualization.
- Optimize data science workflows for scalability and performance in Azure using modern development tools and CI/CD practices.
Requirements
- Bachelor’s degree in Data Science, Machine Learning, Computer Science, Mathematics, or a related field; a master’s degree or Ph.D. is preferred.
- 5+ years of experience developing statistical and AI/ML models using modern tools and best practices.
- 3+ years of experience building predictive models, including regression, classification, and NLP applications.
- 3+ years of hands-on Python experience with tools such as Pandas, Scikit-learn, PyTorch, or TensorFlow.
- 3+ years of experience in cloud environments, preferably Azure, plus 2+ years of SQL experience.
- Experience with Power BI or equivalent visualization tools, semantic analysis, Git-based version control, Agile teams, and technical/business collaboration.
Culture & Benefits
- Work supporting public-sector health, civilian, and national security missions.
- Employer-paid health care.
- Competitive compensation with bonus opportunities.
- Training and development funds.
- 401(k) match.
- AI-assisted tools may support application review and interview note-taking, while hiring decisions remain with recruiters and hiring managers.
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