4 часа назад
Data Scientist (AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (AI/ML): Evaluating and applying NLP, AI, and ML algorithms to large datasets for entity resolution, extraction, and course-of-action modeling with an accent on predictive modeling, optimization, and statistical analysis. Focus on building and validating models, tracking accuracy and performance metrics, and supporting large-scale data analysis in a TS/SCI+ cleared environment.
Location: Chantilly, Herndon, Reston, or McLean, United States
Company
provides mission-critical technology support to federal customers.
What you will do
- Evaluate and apply Natural Language Processing, Artificial Intelligence, and Machine Learning algorithms.
- Use large datasets for entity resolution and extraction in support of work products.
- Build predictive, optimization, financial, and statistical models to evaluate different courses of action.
- Gather data for analysis and model development, and prototype models using R or Python.
- Create and track model accuracy and performance metrics.
- Create, enhance, and maintain technical documentation while collaborating with cross-functional teams.
Requirements
- TS/SCI+ clearance is required.
- Bachelor’s or master’s degree in a quantitative field such as Computer Science, Machine Learning, Operations Research, Statistics, or Mathematics, or equivalent experience.
- Industry experience in predictive modeling, data science, and analysis.
- Expertise in at least one of machine learning, operations research, or data science research.
- Fluency in a high-level modeling language, working knowledge of SQL, and experience with Big Data technologies.
- Strong analytical, written and verbal communication, influencing, and partnership skills.
Nice to have
- Proficiency in Python, Java, or another modern programming language.
- Ability to translate informal business requirements into problem definitions, models, and constraints.
- Ability to explain rigorous mathematical concepts to non-experts.
- Experience designing and supporting large-scale distributed systems in production.
Culture & Benefits
- Work closely with diverse, cross-functional teams and federal customers.
- Self-directed work with an expectation of learning on the go.
- Equal opportunity and affirmative action employment practices.
- Reasonable accommodations are available during the application process.
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