TOMORROW HIRE
Senior Data Scientist - Active Secret Clearance
TOMORROW HIRE, Washington, District of Columbia, us, 20022
Overview
Location:
Washington, DC (Hybrid) Clearance Required:
Active Secret Position Type:
Full-Time We are seeking a highly skilled
Senior Data Scientist
to support enterprise data and analytics initiatives for our federal client. The ideal candidate will bring expertise in AI/ML development, advanced analytics, and automation to deliver mission-focused solutions. This role will involve providing technical leadership, developing predictive models, and collaborating with cross-functional teams to ensure analytics capabilities are scalable, secure, and aligned with enterprise objectives. Strong proficiency with Python, AI/ML frameworks, and RPA tools is required.
Responsibilities
Provide technical leadership on enterprise analytics and AI/ML solutions.
Design, develop, and deploy machine learning models and predictive analytics.
Utilize Python, Anaconda, and Jupyter notebooks for modeling and prototyping.
Collaborate with Data Engineers to integrate models into scalable data pipelines.
Support data governance activities including tagging, metadata management, and secure sharing.
Develop RPA solutions to automate business processes.
Evaluate and recommend analytics products to ensure mission alignment.
Communicate findings through dashboards, data visualizations, and technical reports.
Minimum Qualifications
Active Secret clearance (required at time of application).
Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, or a related field.
7+ years of professional experience in data science, AI/ML, and advanced analytics.
Strong proficiency with Python, Anaconda, and Jupyter notebooks.
Expertise in AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Experience with RPA tools (UiPath, Automation Anywhere, or Python-based automation).
Familiarity with Databricks, Apache Spark, and SQL.
Excellent communication, documentation, and stakeholder engagement skills.
Preferred Qualifications
Experience supporting federal or regulated environments.
Knowledge of MLOps practices for deploying and managing ML models at scale.
Background in data governance and enterprise metadata management.
Eligibility
Must be legally authorized to work in the United States without employer sponsorship, now or in the future.
Active Secret clearance required for this role.
Salary: Competitive, commensurate with experience.
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Location:
Washington, DC (Hybrid) Clearance Required:
Active Secret Position Type:
Full-Time We are seeking a highly skilled
Senior Data Scientist
to support enterprise data and analytics initiatives for our federal client. The ideal candidate will bring expertise in AI/ML development, advanced analytics, and automation to deliver mission-focused solutions. This role will involve providing technical leadership, developing predictive models, and collaborating with cross-functional teams to ensure analytics capabilities are scalable, secure, and aligned with enterprise objectives. Strong proficiency with Python, AI/ML frameworks, and RPA tools is required.
Responsibilities
Provide technical leadership on enterprise analytics and AI/ML solutions.
Design, develop, and deploy machine learning models and predictive analytics.
Utilize Python, Anaconda, and Jupyter notebooks for modeling and prototyping.
Collaborate with Data Engineers to integrate models into scalable data pipelines.
Support data governance activities including tagging, metadata management, and secure sharing.
Develop RPA solutions to automate business processes.
Evaluate and recommend analytics products to ensure mission alignment.
Communicate findings through dashboards, data visualizations, and technical reports.
Minimum Qualifications
Active Secret clearance (required at time of application).
Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, or a related field.
7+ years of professional experience in data science, AI/ML, and advanced analytics.
Strong proficiency with Python, Anaconda, and Jupyter notebooks.
Expertise in AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Experience with RPA tools (UiPath, Automation Anywhere, or Python-based automation).
Familiarity with Databricks, Apache Spark, and SQL.
Excellent communication, documentation, and stakeholder engagement skills.
Preferred Qualifications
Experience supporting federal or regulated environments.
Knowledge of MLOps practices for deploying and managing ML models at scale.
Background in data governance and enterprise metadata management.
Eligibility
Must be legally authorized to work in the United States without employer sponsorship, now or in the future.
Active Secret clearance required for this role.
Salary: Competitive, commensurate with experience.
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