Data Scientist
1 week ago
V2X is a leading provider of smart solutions designed to integrate physical and digital infrastructure from base to battlefield. With 120 years of successful mission support, we improve security, streamline logistics, and enhance readiness for our clients.
Job SummaryWe are seeking a highly skilled Data Scientist to join our team and contribute to the development of decision support tools critical for the protection of our forces against physical and Chemical, Biological, Radiological, or Nuclear (CBRN) threats.
Key Responsibilities- Partner with our development teams to solve complex problems and identify trends and opportunities to leverage data from multiple sources.
- Collaborate across multiple teams to deliver high-priority projects and achieve business objectives.
- Work with large and complex unstructured and structured data sets to identify patterns and insights.
- Develop and deploy predictive and prescriptive analytic solutions to identify and perform root cause analysis on adverse trends.
- Conduct design, algorithm, and code reviews to ensure high-quality deliverables.
- Self-direct and succeed with minimal guidance, demonstrating strong communication and interpersonal skills.
- Bachelor's degree in a computer, engineering, or quantitative discipline (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering).
- Master's or Ph.D. in a quantitative discipline preferred.
- 5+ years of relevant work experience in data analysis or related field (e.g., 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 (e.g., R, Octave, Julia, MATLAB, pandas) and database languages (e.g., 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.
- A dynamic and inclusive work environment that values and supports the contributions of each individual.
- A commitment to integrity, respect, and responsibility, allowing us to leverage differences, encourage innovation, and expand our success in the global marketplace.
- A competitive compensation package and opportunities for professional growth and development.
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