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1 час назад

Senior Data Scientist (Machine Learning)

170 000 - 200 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Scientist (Machine Learning): Developing statistical and machine learning models for the FALCON effort to detect kinematic behaviors from live and historical data, with an accent on time series, geospatial analytics, and mission-focused software capabilities. Focus on feature engineering, event forecasting, anomaly detection, simulation, multi-source data integration, and evaluating algorithm performance for operational decision-making.

Location: Remote within the continental United States; U.S. citizenship and an active U.S. Government security clearance are required.

Salary: $170,000–$200,000 per year.

Company

hirify.global develops spatial intelligence and mission-focused software capabilities that support operational awareness, data-driven analysis, and timely decision-making.

What you will do

  • Lead the design, development, and enhancement of analytic solutions for customer and mission needs.
  • Develop statistical and machine learning models to detect kinematic behaviors using live and historical data.
  • Integrate data from multiple sources, create training and test datasets, and perform cleansing, validation, and ETL workflows.
  • Apply feature engineering, classifier optimization, event forecasting, anomaly detection, and algorithm performance scoring.
  • Build simulations, visualizations, analytic reports, and presentations for internal and external stakeholders.
  • Collaborate with software engineers, data scientists, analysts, mission partners, and customer stakeholders in an Agile environment.

Requirements

  • Must be a U.S. citizen and hold an active Top Secret security clearance and/or CBP/DHS suitability.
  • Master’s degree in data science, data analytics, computer science, physics, mathematics, or a related discipline with 5+ years of industry experience, or a bachelor’s degree with 10+ years of experience.
  • 7+ years of professional experience applying machine learning to time series and/or geospatial data, with experience in event forecasting and algorithm evaluation.
  • Strong Python skills with pandas, NumPy, scikit-learn, Matplotlib, and SciPy, plus statistical knowledge in testing, regression, and probability.
  • 7+ years of experience with databases or data file systems such as PostgreSQL or HDFS and version control systems such as Git.
  • Experience with data visualization, sensor-data correlation, model feasibility research, algorithm development, and Agile methodologies.

Nice to have

  • PhD.
  • 3+ years of experience with deep learning technologies such as PyTorch, Keras, or TensorFlow.
  • 3+ years of professional experience with radar data.

Culture & Benefits

  • Remote-first environment focused on rapid prototyping, iterative development, and operationally relevant technical solutions.
  • Culture emphasizing clear communication, ownership, technical curiosity, feedback, and flexibility.
  • Competitive total rewards package with a 401(k) company match and mental health resources.
  • Additional benefits include student loan repayment assistance, adoption reimbursement, and pet insurance.

Hiring process

  • The application window remains open for three days from the posting date and may close earlier once a qualified candidate is identified.
  • Applications are submitted through hirify.global’s careers page.

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