Zachary Piper Solutions
*An Active TS/SCI and CI Polygraph is required for consideration to this position*
Zachary Piper Solutions is seeking a
Sr. 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. This is an
onsite
role based in
Annapolis Junction, MD
. 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. Qualifications: 5+ years of experience
indata science, machine learning, or software development Bachelors Degree in related field Proficiency in programming languages such asPython,R,Java, orScala. 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. Active TS/SCI with CI Polygraph Compensation: Salary is up to
$150,000 - $190,000+
depending on experience - Multiple LCAT's available Health, Dental, Vision Insurance PTO, 401K, Paid Holidays, Sick Leave if required by Law This job posting opens on 8/29/25 and will remain open for at least 30 days from the posting date #LI-CB1 #LI-ONSITE Keywords: Data, data scientist, data science, AI, artificial intelligence, machine learning, algorithms, python, SQL, scripting, coding, cyber security, data modeling, data analysis, data visualizations, visualization, neural networks, deep learning, statistics, probability, algebra, ML, NLP, Databricks, DataRobot, business intelligence, power BI, python libraries, clustering, forecasting, Qlik sense, SQL, agile, logistics, tableau, intelligence community, IC, maryland, annapolis junction, CI polygraph, counterintelligence, python, high performance computing, HPC, High-performance computing, containerization, Kubernetes, Docker, cloud, aws, azure,
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Sr. 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. This is an
onsite
role based in
Annapolis Junction, MD
. 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. Qualifications: 5+ years of experience
indata science, machine learning, or software development Bachelors Degree in related field Proficiency in programming languages such asPython,R,Java, orScala. 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. Active TS/SCI with CI Polygraph Compensation: Salary is up to
$150,000 - $190,000+
depending on experience - Multiple LCAT's available Health, Dental, Vision Insurance PTO, 401K, Paid Holidays, Sick Leave if required by Law This job posting opens on 8/29/25 and will remain open for at least 30 days from the posting date #LI-CB1 #LI-ONSITE Keywords: Data, data scientist, data science, AI, artificial intelligence, machine learning, algorithms, python, SQL, scripting, coding, cyber security, data modeling, data analysis, data visualizations, visualization, neural networks, deep learning, statistics, probability, algebra, ML, NLP, Databricks, DataRobot, business intelligence, power BI, python libraries, clustering, forecasting, Qlik sense, SQL, agile, logistics, tableau, intelligence community, IC, maryland, annapolis junction, CI polygraph, counterintelligence, python, high performance computing, HPC, High-performance computing, containerization, Kubernetes, Docker, cloud, aws, azure,
#J-18808-Ljbffr