Job Requirements
Annapolis Junction, MD
Top Secret/SCI Full Scope Polygraph
Mid Level Career (5+ yrs experience)
Salary not specified
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Job Description
Candidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered.
Summary:
• Lead data science initiatives by designing, developing, and deploying advanced machine learning, statistical, and graph-based algorithms.
• Architect prototype analytics and transition them into scalable production environments using Python, R, MATLAB, and SQL.
• Provide technical leadership and guidance to data science teams while formulating data-driven solutions for complex requirements.
Qualifications & Compensation:
• Degree: Technical bachelor's degree or equivalent experience
• Years of experience: 10+ years
• Total Compensation: $299k+ yearly
Job Description:
• Develop, train, and evaluate machine learning, data mining, and statistical models for complex datasets.
• Extract information from various data formats and engineer feature vectors suitable for analytic development and testing.
• Formulate experiments or simulation models to generate training data when standard datasets are unavailable.
• Evaluate and validate analytic performance using standard metrics such as cross-validation, ROC curves, and confusion matrices.
• Partner with software engineers and cloud developers to integrate prototyped analytics into production workflows.
• Produce visualizations and reports that summarize dataset structure and communicate key findings.
• Provide technical direction and task delegation across multiple concurrent analytic development efforts.
About SYSTOLIC:
SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com.
To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency
Summary:
• Lead data science initiatives by designing, developing, and deploying advanced machine learning, statistical, and graph-based algorithms.
• Architect prototype analytics and transition them into scalable production environments using Python, R, MATLAB, and SQL.
• Provide technical leadership and guidance to data science teams while formulating data-driven solutions for complex requirements.
Qualifications & Compensation:
• Degree: Technical bachelor's degree or equivalent experience
• Years of experience: 10+ years
• Total Compensation: $299k+ yearly
Job Description:
• Develop, train, and evaluate machine learning, data mining, and statistical models for complex datasets.
• Extract information from various data formats and engineer feature vectors suitable for analytic development and testing.
• Formulate experiments or simulation models to generate training data when standard datasets are unavailable.
• Evaluate and validate analytic performance using standard metrics such as cross-validation, ROC curves, and confusion matrices.
• Partner with software engineers and cloud developers to integrate prototyped analytics into production workflows.
• Produce visualizations and reports that summarize dataset structure and communicate key findings.
• Provide technical direction and task delegation across multiple concurrent analytic development efforts.
About SYSTOLIC:
SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com.
To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency
group id: 10527119