
Data Scientist
- Annapolis Junction, MD
- $150,000-190,000 per year
- Permanent
- Full-time
- 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.