Data Scientist/Machine Learning Engineer (req-249)

Team CATHEXIS is looking for a dynamic Data Scientist/ML Engineer to join their team. The ideal candidate will have experience in research, design, implementation, and deployment of Machine Learning algorithms for enterprise applications, and will be able to work directly with data scientists, software engineers, and subject matter experts.

Requirements

• Research, design, implement, and deploy Machine Learning algorithms for enterprise applications.
• Assist and enable federal customers to build their own applications.
• Contribute to the design and implementation of new features.
• An active Secret or above clearance is required.
• Bachelor’s degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields required.
• MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields preferred.
• Minimum 3-5 years relevant work experience preferred.
• Excellent programming skills in Python.
• Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning).
• Strong mathematical background (linear algebra, calculus, probability, and statistics).
• Experience with scalable ML (MapReduce, streaming).
• Ability to drive a project and work both independently and in a team.
• Smart, motivated, can-do attitude, and seeks to make a difference.
• Excellent verbal and written communication.
• Real passion for developing team-oriented solutions to complex engineering problems.
• Thrive in an autonomous, empowering and exciting environment.
• Great verbal and written communication skills to collaborate multi-functionally and improve scalability.
• Interest in committing to a fun, friendly, expansive, and intellectually stimulating environment.
• Convey highly technical concepts and information in written form to technical and non-technical audiences.
• The ability to work on multiple concurrent projects is essential.
• Strong self-motivation and the ability to work with minimal supervision.
• Must be a team-oriented individual, energetic, result & delivery oriented, with a keen interest on quality and the ability to meet deadlines.
• Ability to work in an agile environment.

Benefits

• Performance Bonuses
• Medical Insurance
• Dental Insurance
• Vision Insurance
• 401(k) Plan (Traditional and ROTH)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off
• 11 Federal Holidays
• Parental Leave
• Commute Benefits
• Short Term & Long Term Disability
• Training & Development
• Wellness Program
• Community Outreach Initiatives