обновлено 3 дня назад
Senior Data Scientist (Security Clearance Required)
131 256 - 223 134$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (Security Clearance Required) (Machine Learning/Cybersecurity): Developing machine learning, deep learning models, and cyber analytic capabilities for a federal cybersecurity program with an accent on large-scale data analysis, predictive modeling, and algorithm development. Focus on designing actionable analytics, evaluating model and data accuracy, and translating technical results for non-technical customers.
Location: Primarily telework-based, with occasional meetings at client locations in Arlington, Virginia or Pensacola, Florida, and facilities in the Washington, DC metro area. US citizenship and an active security clearance are required.
Salary: $131,256.00–$223,134.00 per year
Company
is an advisory and technology services provider helping clients solve complex challenges through expertise and technology.
What you will do
- Gather knowledge from customer subject matter experts and convert it into algorithms.
- Analyze large data sets using mathematical and statistical methods to identify actionable insights.
- Design and deploy deep learning algorithms, predictive models, custom data models, and related tools.
- Evaluate data sources, data-gathering techniques, model performance, and data accuracy.
- Critique and refine intermediate results to improve algorithmic outcomes.
- Interpret and communicate analytical results to non-technical customers.
Requirements
- Active security clearance required.
- US citizenship required.
- Bachelor’s degree with at least 12 years of experience or a master’s degree with at least 10 years of experience in computer science, statistics, applied mathematics, computational linguistics, artificial intelligence, or a related field.
- At least 10 years of practical experience in data science, machine learning models, natural language processing, question answering, text mining, information retrieval, distributional semantics, or knowledge engineering.
- Strong experience with mathematical, statistical, data mining, and data analysis methods and tools.
Nice to have
- Experience productizing machine learning algorithms and delivering data science components for software products.
- Knowledge of machine learning algorithms, NLP, graph theory, and network analysis.
- Proficiency in Python, JavaScript, R, or another programming language.
- Experience with experimental design, hypothesis validation, SQL, and the Databricks Intelligence Platform.
- CompTIA Security+ or a higher-level certification.
Culture & Benefits
- Full-time employment with a primarily telework-based arrangement.
- Collaboration with engineering teams, product teams, customers, and federal cybersecurity stakeholders.
- Opportunity to work with emerging technologies on a large federal cyber analytic program.
- Reasonable accommodations are available throughout the application and employment process.
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