Senior Data Scientist, TS/SCI with Polygraph

Key Skills

Analytical and Problem solving, Data Analysis, Data management, Data science techniques, Data Visualization, Data Wrangling, Effective communication skills, Graph analytics, Large data sets, Natural Language Processing (NLP), Python Programming, Spark Core, SQL, Writing

Job Description

Senior Data Scientist

General Dynamics looking for an experienced Senior Data Scientist to join our team! Ideally, this candidate would have technical leadership experience of a data science team. In this role, you will work directly with clients, managers, and technical staff to understand Insider Threat related business needs, develop technical plans, and deliver data-driven analytical solutions that solve client problems. You will primarily lead the creation and deployment of predictive models from a wide variety of data sources and types using the latest analytical methods.

Essential Functions:

• Experience with data solution pipeline: ongoing efforts to find gaps in program capabilities, design and implement technical solutions that create value for the customer.
• Experience experimenting with modeling approaches to assess suitability given set of business constraints, available data, and project timeline.
• Advise on how to mature and grow technical approaches for large data science program.
• Interest in keeping up to date with applied research to know what is possible and what we can apply for customer.
• Ability to work independently and collaborate in a dynamic, cross-functional environment.
• Experience communicating technical results to clients with varying levels of analytic sophistication.

Other qualifications:

• A current TS/SCI active within the past 2 years (polygraph preferred, but not required)
• Experience with data wrangling of large datasets using commercial or open-source data science tools and big data frameworks such as Apache Spark.
• Experience with NLP and/or graph analytics preferred but not required.
• Proficient in writing reusable code in Python and SQL to refine through code review and discussion
• BS or MS in Operation Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields preferred but not required.
• 5+ years of experience in Data Science role.