SUMMARY
Reporting to a consulting actuary or senior consulting actuary, the lead data scientist works under the direction of a supervisor, project manager or account executive to create and deliver advanced analytics solutions for clients, identifying options with recommendations and providing additional resources. The lead data scientist is responsible for ensuring that best practices are adhered to within the practice area, identifying deficiencies in procedures or systems, correcting as appropriate and referring to a supervisor, project manager or account executive where necessary. The lead data scientist will complete and communicate complex technical results of the advanced analytics analyses of a given problem into the format, language, and context appropriate for the decision-makers and other audiences for whom the results are relevant.
The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
ESSENTIAL FUNCTIONS AND RESPONSIBILITIES
To perform this job successfully, an individual must be able to accomplish each essential function satisfactorily.
- Participate in the delivery of actuarial advanced analytics consulting projects
- Participate in and lead all phases of the development of advanced analytics projects including data preparation, Exploratory Data Analysis (EDAs), development of predictive models, and project documentation
- Organize and input data accurately into statistical models; modify existing and create new statistical models and/or create new code for unique data processing or changing predictive modeling assumptions demonstrating innovation and process improvement with minimum direction from a project manager or account executive
- Complete technical review of data input into statistical models; review statistical models and/or data processing and predictive modeling code for technical accuracy
- Make sound judgmental selections when appropriate in models; review judgmental selections made in models and written reports
- Format work correctly and professionally; ensure that work product is complete, correct and logical
- Collaborate with consultants to complete assigned tasks
- Prepare client ready exhibits and participate in client visits and calls as directed
- Effectively communicate with project teams and manage projects to ensure that projects are on time and meet Pinnacle standards for excellence
- Provide guidance and direction for other employees in the application of statistical techniques and methods
- Communicate clearly with coworkers and supervisors regarding day-to-day projects; effectively communicating while mentoring others
- Suggest improvements to accuracy, efficiency, and/or quality of Pinnacle processes or work products to supervisor
- Lead and present at in-person internal meetings
- Assist with training and development of staff
- Author blog posts
- Identify topics for and lead staff in advanced analytics research
- May pursue the Certified Specialist in Predictive Analytics (CSPA) designation
- Enter time and expenses accurately and timely
- Handle and process confidential information with complete discretion
- File projects and materials according to Pinnacle’s internal filing system
- Regular, predictable and punctual attendance in a Pinnacle office when not working off-site
SUPERVISORY RESPONSIBILITIES
This position may have supervisor responsibility including career development, coaching and mentoring direct reports.
