Build predictive models and analyze data for a defense customer in agile sprints, including geospatial data.
Responsibilities
- ▹Develop and refine predictive models, conduct exploratory data analysis and generate AI-driven insights to support intelligence and operational planning
- ▹Integrate customer feedback into model iteration cycles using Agile methods
- ▹Submit the Predictive Model Performance Report covering key findings, model accuracy metrics and operational impact
- ▹Run sprint-based Agile development with rapid cycles and backlog grooming
- ▹Provide a Rough Order of Magnitude (ROM) estimate before each analytics project (FTE hours, compute costs, storage, infrastructure)
- ▹Conduct quarterly reviews of cost efficiency, system performance and analytic workflows (Quarterly Cost & Resource Utilization Report)
Requirements
- ▹Bachelor's degree in Data Science, Statistics, Computer Science or a related field, or seven years of equivalent experience in machine learning and predictive modeling
- ▹Proficiency in data mining, statistical modeling and AI-driven forecasting with structured and unstructured data sources
- ▹Knowledge of data visualization, feature selection and geospatial analytics
- ▹Experience in exploratory data analysis, feature engineering and statistical testing
- ▹Experience with Python, R, SQL and data science libraries (e.g. Pandas, NumPy, SciPy)
- ▹Experience with cloud-based AI/ML tools such as AWS SageMaker or Azure Machine Learning and with putting models into operational workflows
- ▹Ability to integrate data from multiple sources and work within an Agile sprint cycle
Nice to have
- ▹AWS Certified Data Analytics – Specialty, Microsoft Certified: Azure AI Fundamentals or Certified Data Scientist (CDS) certification
What we offer
- ▹Full remote flexibility
About the company
SOSi, founded in 1989, is a founder-owned technology and services integrator and one of the largest private companies in defense and government services.
Education: Alapdiploma adattudomány, statisztika, informatika vagy kapcsolódó területen (vagy 7 év egyenértékű tapasztalat)
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