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Data Scientist II

Hypergiant

$92,800 - $130,000
Oct 17, 2025
Remote, US
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Hypergiant, an Accelint company, is seeking a Data Scientist II to contribute to the development of advanced analytical models that power data-driven decision-making for forward-thinking organizations, including the Defense Department, energy, healthcare, and aviation.

Requirements

  • 2+ years of experience with GCP, specifically BigQuery and Vertex AI
  • Strong proficiency in Python (pandas, scikit-learn, TensorFlow, PyTorch, or similar)
  • Knowledge of Spark Framework
  • Solid understanding of machine learning, deep learning, and optimization algorithms
  • Experience building, training, and deploying models using modern ML frameworks and integrating them into production environments.
  • Proficiency in SQL and experience working with structured, semi-structured, and unstructured data.
  • Familiarity with version control (Git), CI/CD pipelines, and collaborative agile workflows.

Responsibilities

  • Design, build, and continuously improve machine learning, deep learning, and optimization models to support predictive and prescriptive analytics.
  • Explore, clean, and transform large and complex datasets to extract actionable insights and support modeling pipelines.
  • Create and optimize SQL queries and data pipelines leveraging BigQuery for data preparation, feature engineering, and performance optimization.
  • Develop, train, and evaluate models using Vertex AI, ensuring scalability, robustness, and maintainability in cloud-based deployments.
  • Apply statistical, mathematical, and optimization techniques to solve complex business problems and improve model accuracy and efficiency.
  • Contribute to reusable modeling components, shared libraries, and collaborative codebases for standardizing experimentation and deployment practices.
  • Participate in the full model development lifecycle—including requirement gathering, model design, training, validation, deployment, and monitoring—within an agile, iterative framework.

Other

  • Degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field.
  • 2-5 years of professional data science experience.
  • Strong analytical thinking, problem-solving, and communication skills.
  • Unlimited Paid Time Off, 14 Paid Company Holidays, Paid Maternity/Paternity Leave, Flexible Work Environment with Remote Options
  • Travel requirements not specified