Today
Top Secret/SCI
Unspecified
CI Polygraph
IT - Data Science
Annapolis Junction, MD (On-Site/Office)
Job Title: Senior Data Scientist - High-Performance Computing (HPC)
Location: Annapolis Junction
Salary: $150,000- $190,000 based on years of experience.
Clearance: TS/SCI with CI Poly
Position Summary
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.
Key Responsibilities
Data Analysis & Exploration
Machine Learning & AI
Application Development & Deployment
Computational & Integration Skills
Required Qualifications
Preferred Qualifications
Location: Annapolis Junction
Salary: $150,000- $190,000 based on years of experience.
Clearance: TS/SCI with CI Poly
Position Summary
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.
Key Responsibilities
Data Analysis & Exploration
- 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.
Machine Learning & AI
- 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.
Application Development & Deployment
- 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).
Computational & Integration Skills
- 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.
Required Qualifications
- 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.
Preferred Qualifications
- 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.
group id: 10430981
