Data Scientist III

7 days ago

Annapolis, United States Vibrint Full time

Vibrint is a trusted provider of mission-critical systems and analysis that transform our customers' capacity and capability in harvesting and harnessing data. Working alongside many of the most talented professionals in public service, we work tirelessly to create and sustain new solutions and services that meet the stringent demands across a variety of customer missions.

Our people know they'll be doing work that matters at the heart of the national security mission, exploring new possibilities at the cutting edge of technology. They know they will be well-rewarded and recognized for their commitment. And, they know they will enjoy plentiful opportunities to grow, thrive, and have fun as a member of the Vibrint family. Join Vibrint, where your career is a priority, and your future is our shared goal.

We are seeking a Data Scientist III.

Position requires an active TS/SCI with Polygraph level clearance. US citizenship is required.

Position Required Skills:

Support for NLP project to accurately and automatically tokenize language data with spoken or written origins; develop automated solutions for the annotation of language data with parts of speech information, and improved existing models by scoring performance against human-generated annotations for speech and text. Requires demonstrated NLP experience.

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms,
programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g. C)), data
mining, advanced statistical analysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time
series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and
reproducibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity.

Capabilities:

  • Employ some combination (2 or more) of the following areas:
1. Foundations (Mathematical, Computational, Statistical)
2. Data Processing (Data management and curation, data description and visualization, workflow and reproducibility)
3. Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations) Yes/No
  • Devise strategies for extracting meaning and value from large datasets. Yes/No
    Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge.
  • Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data.
  • Effectively communicate complex technical information to non-technical audiences.
  • Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting NSA/CSS collection, processing, storage and analytic capabilities and limitations.

Qualifications:

A Bachelor's degree and 10 years of relevant experience. An Associate's degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.

Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper-level math courses designated as elementary or basic do not count.

Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.

The salary range for this position is based on contracted rates. The position is eligible to participate in our discretionary bonus program. Our generous benefits include but are not limited to: medical, dental, vision, life insurance, short and long-term disability insurance, employee assistance program, paid time off, paid holidays and a 401(k) plan with company match.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, citizenship, family structure, marital status, disability, veteran or military status or any other characteristic protected by law in all phases of the employment process and in compliance with applicable federal, state, and local laws and regulations.

An equal opportunity employer/disability/vet. .

Equal opportunity legal notices can be viewed on the following PDFs: and .

We are happy to offer a sign on bonus to qualified applicants. Please apply for immediate consideration.

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