Demonstrates intermediate ability and knowledge of database principles, data profiling, statistics and data modeling and can apply this knowledge in the full range of typical situations with minimal or no guidance.
October 18, 2019
Report findings to clients and/or participate in business development activities.
January 30, 2020
Prepare reports of findings, illustrating data graphically and translating complex findings into written text.
March 09, 2020
Lead internal and client meetings necessary for the success of each project.
April 22, 2020
Manage post-award activities for the Department including tracking expenditures, effort and budget variances while also assisting investigators and staff to maintain compliance and sponsor expectations.
April 24, 2020
Assist to define goals/objectives of matter, develop investigative strategies and determine research parameters.
June 08, 2020
Monitor emerging technology and market trends in all manufacturing sectors.
June 18, 2020
Provide management with information and proposals concerning the promotion, distribution, design, and pricing of company products or services.
July 02, 2020
Required Qualifications Advanced degree (MS or PhD) in a quantitative field including but not limited to statistics, computer science/data mining, operations research, or mathematics Demonstrated aptitude for logical analysis, problem identification, and problem solving Excellent interpersonal and communication skills to present analytics effectively to the leadership, team members and customers Experience in computational programming such as R/Python/Scala Experience using databases and writing complex queries involving various joins, aggregation functions, sub queries, update/alter tables and creating volatile tables Deep understanding of statistical and machine learning techniques and experience in applying predictive analytics to real-world problems.
July 17, 2020
Review, assess and synthesize data from a variety of sources.
July 21, 2020