Apr 1
Unspecified
Entry Level (less than 2 yrs experience)
No Traveling
IT - Data Science
Tysons, VA (On/Off-Site)
Paradyme, a CATHEXIS Company is hiring a Data Scientist /ML Engineer to support mission critical programs.
Responsibilities:
The Data Scientist /ML Engineer will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our federal customers with the information they need to make proper decisions and enable their digital transformation. Duties include:
- 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.
Qualifications:
- Master's degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields or Bachelor's degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields with one year of relevant work experience.
- 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.
- Ability to obtain a U.S. security clearance preferred.
Nice to Have:
- MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields.
- 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.
- Hands-on experience deploying and operating applications using IaaS and PaaS on major cloud providers, such as Amazon AWS, Microsoft Azure, or Google Cloud Services.
- Experience with deep learning, natural language processing, computer vision, or reinforcement learning.
- Conveys 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
Responsibilities:
The Data Scientist /ML Engineer will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our federal customers with the information they need to make proper decisions and enable their digital transformation. Duties include:
- 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.
Qualifications:
- Master's degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields or Bachelor's degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields with one year of relevant work experience.
- 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.
- Ability to obtain a U.S. security clearance preferred.
Nice to Have:
- MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields.
- 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.
- Hands-on experience deploying and operating applications using IaaS and PaaS on major cloud providers, such as Amazon AWS, Microsoft Azure, or Google Cloud Services.
- Experience with deep learning, natural language processing, computer vision, or reinforcement learning.
- Conveys 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
group id: 10477716
