Data Scientist

• Consolidate network data in a presentable fashion to help key decision makers make informed decisions on where to invest their resources to streamline their operational network and make it more efficient.
• Apply data mining and statistical analysis techniques like hypothesis testing, segmentation, and modeling to analyze large amounts of network data.
• Deliver the latest data science and practices to help design, build and maintain scalable and robust solutions that unify, enrich and analyze data from multiple sources of the network.
• Help clients make data-driven decisions by working with structured and unstructured data sets, building out predictive models and advise clients on data mining leading practices.
• Help unify, enrich, and analyze network data to derive new insights and opportunities.
• Leverage in-house data platforms as needed and recommend and build new data platforms/solutions as required to exceed client’s expectations.
• Communicate findings, recommendations, and opportunities to clients to improve data systems and solutions.
• Apply data driven approach (KPI's) in tying technology solutions to specific mission outcomes.
• Consistently deliver quality client services by monitoring progress.
• Demonstrate in-depth technical capabilities and professional knowledge.

Principal Data Scientist

Scientist II, Real World Data Science

Data Scientist I, Real World Data Science

Lead Data Scientist, Cat Foresight

Data Science & Analytics Director

Senior Data Scientist – AI