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in Tysons Corner, VA
Data Scientist
Estimated Pay | $60 per hour |
---|---|
Hours | Full-time, Part-time |
Location | Tysons Corner, Virginia |
Compare Pay
Estimated Pay$34.59
$59.89
$86.72
About this job
Job Description
Job Title: Data Scientist
Location: Tysons Corner, Virginia
Job Type: Fulltime
Clearance Required: TS / SCI CI Poly Clearance or above
Data Scientist:
The Data Scientist 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.
Typical duties include developing and deploying machine learning algorithms for enterprise applications, assisting federal customers in building applications, contributing to new feature implementation, and managing multiple projects in an agile, quality-focused setting.
In this role, you will:
- 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.
- 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.
- Interested 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 in quality and the ability to meet deadlines.
- Ability to work in an agile environment.
If you're suitable for this role, you have:
- TS / SCI CI Poly Clearance or above.
- MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields.
- Minimum 2 years 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.