Overview
This position description is subject to change at any time as needed to meet the requirements of the program or company.
Working across the globe, V2X builds smart solutions designed to integrate physical and digital infrastructure from base to battlefield.
We bring 120 years of successful mission support to improve security, streamline logistics, and enhance readiness. Aligned around a shared purpose, our $3.
9B company and 16,000 people work alongside our clients, here and abroad, to tackle their most complex challenges with integrity, respect, responsibility, and professionalism.
At V2X, we are making a difference by delivering decision support tools critical for the protection of our forces when threatened by both physical and Chemical, Biological, Radiological, or Nuclear (CBRN) threats.
We are expanding in data science to provide the best information possible utilizing the latest techniques in Machine Learning (including Deep Learning, Neural network).
We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and / or natural language processing to join our team.
Our data scientists work closely everyday with project managers, subject matter experts and software engineers to work on challenges in machine intelligence, data mining, and machine learning, and work together with agility to build capabilities that impress our customers.
We partner and collaborate with universities to being best minds together.
Data scientists will have opportunities to work on projects with highest priority to our business. Vital to success in this role is the ability to determine, define and deploy predictive / prescriptive analytic solutions to identify and perform root cause analysis on adverse trends, by choosing best fit methods, defining algorithms, and validating and deploying models to achieve results.
Responsibilities
Major Job Activities :
- Partner with our development teams to solve problems and identify trends and opportunities to leverage data from multiple sources.
- Collaborate across multiple teams.
- Passionate about working with large and complex unstructured and structured data sets.
- Strong communication and interpersonal skills. You should be able to work across functions and effectively present, recommend and communicate a position by demonstrating its value and tradeoffs.
- Comfortable conducting design, algorithm, and code reviews.
- Able to self-direct and succeed with minimal guidance.
Material & Equipment Directly Used :
Computer, Phone, and basic office materials.
Working Environment :
- Function in an office environment in a stationary position approximately 50 percent of the time or more.
- Must be able to operate standard office equipment, such as a computer, copy machine, and printer.
Qualifications
Education / Certifications :
- Bachelor’s degree in a computer, engineering, or quantitative discipline (., statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering).
- Master's or . in a quantitative discipline preferred.
Clearance Requirement :
Must have or be able to obtain an active . DoD Secret (or higher) level Security Clearance.
Experience / Skills :
- 5+ years of relevant work experience in data analysis or related field. (., statistician, data analyst, data scientist).
- Programming experience in one or more of the following : R, MATLAB, C, C++, Java, Python, Scala
- Experience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence).
- Experience with statistical software (., R, Octave, Julia, MATLAB, pandas) and database languages (., SQL).
- Experience with machine learning related open source libraries including, but not limited to : Hadoop, Spark, SciKit-Learn, TensorFlow, etc.
- Contribution to research communities and / or efforts, including publishing papers at conferences.
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