Peraton is looking to solve complex data science problems for business and mission users by applying technical methods and advancing the application and understanding of data science.
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.
- Understands 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.
- Understands 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
- Active TS/SCI with ability to obtain a Poly
- Demonstrated oral and written communication skills
- 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.
- Strong problem solving skills to manipulate data and draw insights from large data sets
