Data Scientist

Location:

Annapolis Junction

Salary: $150,000- $190,000 based on years of experience.

Clearance: TS/SCI with CI Poly

We are seeking a highly skilled and innovative

Senior Data Scientist to lead the design, development, and deployment of advanced data-driven applications within aHigh-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,Num Py) and visualization tools (e.g.,Matplotlib,Seaborn).
• Strong understanding of machine learning frameworks (e.g.,scikit-learn,Tensor Flow).
• 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.