Data Scientist

ZP Group-posted 2 months ago
$150,000 - $190,000/Yr
Senior
Annapolis Junction, MD
251-500 employees
Professional, Scientific, and Technical Services
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We are seeking a highly skilled and innovative Senior Data Scientist to lead the design, development, and deployment of advanced data-driven applications within a High-Performance Computing (HPC) environment. This role requires deep expertise in data science, machine learning, and scalable computing to solve complex business challenges through creative and non-traditional analytical approaches.

  • Conduct exploratory data analysis (EDA) to uncover insights from large-scale, unstructured datasets.
  • Apply advanced visualization techniques to summarize and communicate data characteristics.
  • Exercise creativity in applying novel analytical methods to high-value use cases.
  • Research and implement cutting-edge machine learning algorithms for distributed computing.
  • Develop predictive models for classification, regression, and clustering tasks.
  • Evaluate and optimize model performance for scalability and accuracy.
  • Design and implement complex algorithms for data processing and analysis.
  • Build prototypes and production-grade applications integrating data science techniques.
  • Manage codebase using version control systems (e.g., Git) and ensure collaborative development.
  • Deploy applications across HPC clusters, cloud platforms, or containerized environments (Docker, Kubernetes).
  • Develop and maintain ETL pipelines and data integration workflows.
  • Interpret and connect complex data sources to generate actionable insights.
  • Collaborate with cross-functional teams to deliver data-driven solutions.
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
  • 5+ years of experience in data science, machine learning, or software development.
  • Proficiency in programming languages such as Python, R, Java, or Scala.
  • Experience with data manipulation libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn).
  • Strong understanding of machine learning frameworks (e.g., scikit-learn, TensorFlow).
  • Hands-on experience with HPC environments, cloud computing, and containerization technologies.
  • Familiarity with version control systems and collaborative development practices.
  • Experience with distributed computing frameworks (e.g., Spark, Dask).
  • Knowledge of data warehousing and pipeline orchestration tools.
  • Background in scientific computing or large-scale simulation environments.
  • Strong communication skills and ability to translate technical findings into business insights.
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