Peraton is looking to solve Big Data, data analysis, Artificial Intelligence (AI), Machine Learning (ML), and advanced analytics problems by refining and improving legacy development, as well as providing operations and maintenance.
Requirements
- Demonstrated experience with Python or R
- Possesses knowledge and experience of advanced analytics and data storage
- Knowledge of various data science applications and architectures
- Experience with AWS or similar cloud provider
- Demonstrated experience in solving problems with structured and unstructured data
- Experienced in applying statistical and data visualization skills
- Experience in two or more of the following: Python, Machine Learning, Natural Language Processing, Neural Networks, Apache Spark, Hadoop, R, C++, SQL Database/Coding, or visualization tools such as Tableau
Responsibilities
- Work with customer's Chief Technology Office to further application and understanding of data science.
- Apply technical methods to data science problems supporting business and mission users.
- Advise or lead interdisciplinary teams throughout the full course of a data science project life cycle.
- Understand Machine Learning and is able to apply machine learning, multivariable calculus, and linear algebra techniques and approaches, including but not limited to, k-nearest neighbors, random forests, and ensemble methods.
- Understand Data Visualization and is able to employ visualization and data to enable data driven decisions.
- Possesses an expert ability to describe findings and techniques tailored to the intended audience, including technical and nontechnical decision makers.
- Demonstrated experience with Python or R.
Other
- A Bachelor's degree with 8+ years of relevant experience OR a Master's degree with 6 years of relevant experience OR a PhD with 3 years of relevant experience; an additional 4 years of experience maybe considered in lieu of a degree requirement
- Demonstrated oral and written communication skills
- Active TS/SCI with ability to obtain a Poly
- Polished oral and written communication skills sufficient to compose, tailor, and deliver original presentations and papers on abstract concepts
- Ability to lead multi-disciplinary teams to complete complex data science projects.
