Hybrid Data Scientist Data Scientist with verification

ASRC Federal is seeking experienced Data Scientist with experience assessing Federal agency compliance with the DHS CISA Zero Trust Maturity Framework in support of a new government program. This program will support and augment ongoing efforts to achieve, maintain, continuously improve, and integrate ZT operational capabilities and solutions across ZT pillars. The purpose of this program is to provide enhanced capabilities and integration of operational capabilities and services across ZT pillars to accelerate ZT maturity beyond its current rate, and achieve and maintain White House, OMB, and DHS ZT maturity goals over the next two years.

Data Scientists will support the data analytics strategy in support of the implementation of Zero Trust. The ideal candidate will have previous Federal agency experience supporting data science activities coordinating support tasks for all related Data Science efforts including, but not limited to the application of Data Analytics, Machine Learning and Artificial Intelligence. This position is REMOTE.

Responsibilities:

• Collaborate as a Subject Matter Expert (SME) across to support the Continuous Integration / Continuous Deployment (CI/CD) process in the delivery and integration of new data feeds, sources, and analytics. Ensure that all required documentation is created and maintained.
• Provides expert support, analysis and research into exceptionally complex problems, and processes relating to Data Science.
• Serves as technical expert on executive-level project teams providing technical direction, interpretation, and alternatives.
• Thinks independently and demonstrates exceptional written and oral communications skills.
• Applies advanced technical principles, theories, and concepts.
• Contributes to the development of new principles and concepts.
• Works on unusually complex technical problems and provides solutions which are highly innovative and ingenious.
• Works under consultative direction toward predetermined long-range goals and objectives.
• Assignments are often self-initiated.
• Determines and pursues courses of action necessary to obtain desired results.
• Develops advanced technological ideas and guides their development into a final product.
  
  

ASRC Federal Advantages

• Learning and Development: After 90 days of employment, regular full-time employees are eligible to participate in our professional development program including funds annually to go towards Associate’s, Bachelor’s or Graduate Degrees; Industry standard professional certification; A professional certificate program; Continuing education classes; and Registration fees to attend professional conferences.
• Employee Resource Groups: That provide our employees the opportunity to collaborate and network with colleges with common interests, backgrounds, and experiences including Women's Impact Network (WIN), Multicultural ERG, Military Community (MILCOM), and Pride ERG for LGBTQ+ employees and allies.
• Purpose Driven Careers: Certified Great Place to Work™; Certified Military Times' 'Best for Vets' and Military.com ‘Top 25 Veteran Employer.’
• Benefits: Comprehensive insurance packages including medical, dental, vision, life insurance, and short term/long term disability, as well as a 401K with generous company match and immediate vesting.
• Holidays: 11 paid holidays.
  
  

Requirements

Requirements

• Must be a US Citizen able to obtain an agency-specific suitability / public trust clearance prior to starting.
• Experience with Databricks and Unity catalog.
• Experience with Federal Zero Trust requirements and assessing agency Zero Trust maturity in accordance with DHS CISA Maturity Model
• Demonstrated expertise in Federal Government Data Science.
• Prior experience in leading large organizations with complex requirements and needs for the practical application of Data Science.
• Leadership of technical teams with similar skills.
• BS in Computer Engineering or equivalent, with 5-7 years of experience
  
  

Desired Skills And Qualifications

• Cloud experience specifically, AWS, Google, or Azure.
• Experience with CI/CD - Deployment pipeline (e.g., Jenkins, Ansible).
• Experience with programming languages (e.g., Python, Java).
• Experience with container/orchestration tools (e.g., Kubernetes, Docker, Puppet).