Data Scientist - Tysons Corner, United States - MOMENTUM

MOMENTUM
MOMENTUM
Verified Company
Tysons Corner, United States

3 weeks ago

Mark Lane

Posted by:

Mark Lane

beBee recruiter


Description

Welcome to the MOMENTUM Family
MOMENTUM is not just our company name; it is the highest value we deliver to our customers. We are a rapidly growing technology solutions company delivering innovative technology, engineering, and intelligence solutions across the DoD sector. The efforts of our high-capacity team ultimately strengthen our Nation and the warfighter.


Our team is dispersed throughout the US, which means we value the diversity and unique collaboration that's fostered throughout our team.

We work incredibly hard for our customers and believe deeply in our core values. We're a high-energy, high-growth team and we love to win.


Data Scientist

In this role, you will:


  • Contribute to the design and implementation of new features.
  • Real passion for developing teamoriented solutions to complex engineering problems.
  • Thrive in an autonomous, empowering, and exciting environment.
  • Great verbal and written communication skills to collaborate multifunctionally and improve scalability.
  • Interested in committing to a fun, friendly, expansive, and intellectually stimulating environment.
  • Experience with deep learning, natural language processing, computer vision, or reinforcement learning.
  • Conveys highly technical concepts and information in written form to technical and nontechnical audiences.
  • The ability to work on multiple concurrent projects is essential. Strong selfmotivation and the ability to work with mínimal supervision.
  • Must be a teamoriented individual, energetic, result & deliveryoriented, 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, cando attitude, and seeks to make a difference.
  • Excellent verbal and written communication.

MOMENTUM is an EEO/M/F/Veteran/Disabled Employer:


We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The qualifications listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.


Accommodations:


Pay:
$110, $210,000.00 per year


Benefits:


  • Dental insurance
  • Flexible schedule
  • Health insurance
  • Life insurance
  • Paid time off
  • Professional development assistance
  • Referral program
  • Vision insurance

Experience level:

  • 1 year
  • 2 years
  • 3 years
  • 4 years
  • 5 years
  • Under 1 year

Schedule:

  • 8 hour shift

Application Question(s):

  • Do you have an active TS SCI with CI Poly or Full Scope Poly security clearance?

Education:


  • Bachelor's (required)

Experience:


  • Machine learning: 3 years (required)
  • Python: 3 years (required)
  • Amazon AWS, Microsoft Azure, or
Google Cloud: 3 years (required)


Security clearance:

  • Top Secret (required)

Ability to Relocate:

  • Tysons Corner, VA: Relocate before starting work (required)

Work Location:
In person

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