Palantir Developer Senior Consultant

at  Deloitte

In this age of disruption, organizations need to navigate the future with confidence by tapping into the power of data analytics, robotics, and cognitive technologies such as Artificial Intelligence (AI). Our Strategy & Analytics portfolio helps clients leverage rigorous analytical capabilities and a pragmatic mindset to solve the most complex of problems. By joining our team, you will play a key role in helping to our clients uncover hidden relationships from vast troves of data and transforming the Government and Public Services marketplace.

QUALIFICATIONS

Required:
Bachelor’s Degree
5+ years of data extraction and data manipulation
5+ years of experience with engineering and developing Palantir pipelines and deploying them in a client services environment
5+ years of experience working cross-functionally with Palantir Foundry data scientists and engineers
2+ years of experience performing data reviews and managing engineers.
Must be able to obtain and maintain required security clearances necessary for the role
Must be willing to go on client sites in the DC Metro area as required by the client
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Preferred:
2+ years of prior professional services or federal consulting experience
Creativity and innovation - desire to learn and apply new technologies, products, and libraries
Strong written and verbal communication skills
Strong organizational skills
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

The Palantir Data Scientist will design future-state, modern data architecture, pipelining, and analysis for transformation at the enterprise level using advanced cloud architectural principles. Using tools such as Palantir Foundry, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data pipelining and statistical programming tools to enterprise data to advance and enable key mission outcomes.