Data Science, Associate

Responsibilities

Peraton is hiring a Data Science Advisor to support critical missions within its Risk Decision Group. This is a 100% Remote position.

• Exercises creativity in applying traditional and non-traditional approaches to large-scale analysis of diverse data sources in support of high-value use cases.
• Requires strong technical and computational skills—coupled with the ability to code, design, develop, and deploy sophisticated applications using advanced structured, unstructured and semi-structured data analysis and modeling techniques.
• Utilizes advanced tools and computational skills to interpret, connect, predict, and make discoveries in complex data of imperfect quality and deliver recommendations for business and analytic decisions.
• Leverages data transport and transformation APIs and technologies such as JSON, XML, XSLT, JDBC, ODBC, SOAP and REST.
• Creates visualizations, reports and data flows using tools like Microsoft Pivot, Palantir, Power BI, or Tableau.
• Advises on data‑driven improvements—validates experiment design and communicates requirements for statistically sound and relevant results.
• Develops and maintains high‑quality data products such as models, reports and dashboards.

• U.S. citizenship
• Must be able to obtain and maintain a Top Secret eligible clearance; active federal background investigation with a T5 adjudication is preferred
• Bachelor’s degree with 1+ years of relevant experience OR Master’s degree with 2+ years of relevant experience OR PhD with 0 years of relevant experience; an additional 6 years of experience may be considered in lieu of a degree requirement
• Experience with Python or R
• Knowledge and experience of advanced analytics and data storage
• Knowledge of various data science applications and architectures

• Polished oral and written communication skills sufficient to compose, tailor, and deliver original presentations and papers on abstract concepts
• Ability to develop and employ strategies to analyze key issues, draw conclusions from data, and recommend viable solutions to address customer mission needs.
• Ability to lead multi-disciplinary teams to complete complex data science projects.
• Experience with AWS or similar cloud provider
• Experience in solving problems with structured and unstructured data
• Experience in applying statistical and data visualization skills
• Strong problem‑solving skills to manipulate data and draw insights from large data sets
• Proven ability to learn and master new software, technologies and techniques.
• Experience with SQL querying language and the Microsoft SQL Server ecosystem
• 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
• Experience with inferential and descriptive statistics
• Experience with supervised and unsupervised machine learning techniques.
• Experience with analysis of unstructured and semi-structured data, including natural language processing, deep learning and online person‑in‑the‑loop training techniques.

$112,000 - $179,000. This represents the typical salary range for this position based on experience and other factors.

An Equal Opportunity Employer including Disability/Veteran.