Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Scientist (AI/ML): Developing and validating machine learning and statistical models from structured and unstructured datasets with an accent on feature engineering, algorithm tuning, and translating customer requirements into analytical solutions. Focus on leading data science teams, developing scalable analytics, and turning complex data into objective answers for government and intelligence missions.
Location: Annapolis Junction, Maryland, US
Salary: $96.16–$115.39 per hour
Company
hirify.global provides government solutions, defense, intelligence, and deployed support for critical US Government missions.
What you will do
Analyze structured and unstructured datasets to produce objective insights for client decision-making.
Develop and validate machine learning and statistical models, feature vectors, and analytical algorithms.
Translate customer questions and requirements into analytical solutions.
Lead data science teams and analytical development efforts.
Guide teammates and lead the development of algorithms and systems in data-rich environments.
Requirements
Experience with R, Python, SAS, MATLAB, or other statistical and general-purpose programming languages for data analysis.
Experience analyzing structured and unstructured datasets.
Experience developing and validating machine learning or statistical models, feature vectors, and tuned analytical algorithms.
Experience translating customer requirements into analytical solutions and leading data science teams and analytical development efforts.
TS/SCI clearance with a polygraph is required.
A bachelor's degree in statistics, mathematics, engineering, computer science, or another quantitative discipline plus 10+ years of relevant experience, or a high school diploma/GED plus 14+ years of relevant experience in machine learning, data mining, advanced statistical analysis, artificial intelligence, or data analysis software development.
Nice to have
Experience developing statistical tests, experiments, or simulated datasets.
Experience evaluating models with cross-validation, ROC curves, or confusion matrices.
Experience transitioning analytical prototypes into production systems and developing scalable analytics for large datasets.
Experience integrating analytics into production workflows with software or cloud engineers.
Experience creating data visualizations and analytical reports.
Experience applying emerging machine learning or pattern recognition algorithms.
Culture & Benefits
Work focuses on difficult US Government defense, intelligence, and mission-support challenges.
Employees receive salaries and benefits packages designed to support critical mission objectives.
Employment is subject to applicable federal, state, local, and international non-discrimination requirements.
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