Lead the identification of opportunities to apply advanced analytics, data science, including predictive analytics, prescriptive analytics, and cognitive computing, and technology to challenges with new and existing clients through the application of new, innovative capabilities.
Interact regularly and independently with clients/sponsors and related parties. Typically interact at the "peer equivalent" level, and have some level of interaction at senior level. Effectively represent CNA as an organization.
As a member of the technical staff, the Data Scientist will be integral to the leadership and development of Big Data solutions. The dynamic and small team environment is great for an independent and flexible self-starter with strong written and verbal skills.
Candidate is expected to conduct experiments, investigations, observations and related research studies into the nature and operation of natural phenomena in a particular field, using the scientific method. They will develop theories for understanding, characterizing and organizing natural phenomena into a systematic and meaningful pattern for the benefit of project advancement and emerging technologies.
Develop and apply creative and innovative analytic solutions to complex problems with assistance/support from more senior staff. Play a supporting role in the mentoring and training of new staff individually or as a member of a project team.
The successful candidate will lead ongoing software development of data processing algorithms and tools to advance the exploitation of data from sensors, and transition those tools to analytical capabilities.