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Data Scientist (AI)

105 849 - 126 771$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Scientist (AI): Designing and developing predictive models and advanced algorithms for edge analytics with an accent on processing complex technical datasets and CAD models. Focus on applying AI/ML techniques to support national security systems and collaborating with cross-functional teams to deliver actionable insights.

Location: Must be based in the US. Hybrid in St. Paul, MN preferred; fully remote candidates considered with increased travel requirements.

Salary: $105,849–$126,771 per year.

Company

hirify.global is a mission-driven technology company providing advanced sensors, autonomous systems, and AI-enabled software solutions for national security and critical industries.

What you will do

  • Lead the design, development, and implementation of statistical techniques and machine learning algorithms.
  • Apply AI/ML techniques to process technical data, including CAD models, for enterprise systems.
  • Research and identify new applications for AI/ML to support program objectives.
  • Create data visualizations, dashboards, and reports to communicate findings to stakeholders.
  • Collaborate with software engineers and government teams to integrate algorithms into production workflows.
  • Maintain comprehensive technical documentation for all developed models and algorithms.

Requirements

  • US Citizenship required to obtain and maintain a U.S. national security clearance.
  • Bachelor’s degree in a quantitative field or equivalent industry experience.
  • At least 2 years of professional experience in data science.
  • Proficiency in Python and its data science libraries (Pandas, NumPy, Scikit-learn).
  • Strong background in statistical analysis, forecasting, and anomaly detection.
  • Experience with SQL and relational databases.

Nice to have

  • Experience with ML frameworks like TensorFlow or PyTorch.
  • Knowledge of cloud platforms (AWS, Azure, or GCP).
  • Familiarity with containerization tools like Docker and Kubernetes.
  • Experience with stream processing and data streaming applications (Kafka, RabbitMQ).
  • In-depth understanding of the aerospace and defense industry.

Culture & Benefits

  • Comprehensive medical, dental, and vision insurance.
  • 401k matching program.
  • Paid Time Off and paid company holidays.
  • Short-term and long-term disability insurance.
  • Employee Assistance Program and optional HSA/FSA accounts.

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