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Senior Data Scientist

Date: Jan 17, 2023

Location: Erie, PA, US, 16530

Company: Erie Insurance

Division or Field Office:

Office Of The President

Department of Position: Modeling & Data Anlytcs Dept 

Work from:

Corporate Office in Erie, Pa

 

At Erie Insurance, you’re not just part of a Fortune 500 company; you’re also a valued member of a diverse and inclusive team that includes more than 5,000 employees and over 2,200 independent agencies.  Our Employees work in the Home Office complex located in Erie, PA, and in our Field Offices that span 12 states and the District of Columbia. 

We strive to be Above all in Service® to our customers—and to our employees. That’s why Erie Insurance offers you an exceptional benefits package, including:

•          Premier health, prescription, dental, and vision benefits for you and your dependents. Coverage begins your first day of work.

•          Low contributions to medical and prescription premiums. We currently pay up to 97% of employees’ monthly premium costs.

•          A pension. We are one of only 13 Fortune 500 companies to offer a traditional pension plan. Full-time employees are vested after five years of service.

•          A 401(k) with up to 4% contribution match. The 401(k) is offered in addition to the pension.

•          Paid vacation, personal days, sick days, bereavement days and parental leave.

•          Career development, including a tuition reimbursement program for higher education and industry designations.

•          Additional benefits that include company-paid basic life insurance; short-and long-term disability insurance; orthodontic coverage for children and adults; adoption assistance; fertility and infertility coverage; well-being programs; paid volunteer hours for service to your community; and dollar-for-dollar matching of your charitable gifts each year.

 

Position Summary

Plans and manages predictive modeling, data analytics and data collection projects of high complexity, confidentiality, and impact on the business with limited supervision.

 

  • Candidates with below minimum qualifications may be considered for Data Scientist II (13). Number of years and scope of experience will determine level.

  • Knowledge of SAS and Python programming languages preferred.

Duties and Responsibilities

Develops statistical models designed to enhance business decisions.  Areas of focus will include: Claims, Customer Service, Marketing, Pricing, Sales & Agency, and Underwriting.

Possesses and applies a broad knowledge of predictive modeling principles, practices, and procedures as well as identifies and implements process improvements.  Stays current with advanced actuarial research and industry best practices and implements as needed. Leads analysis for new P&C products and the development and enhancement of models designed to benefit all aspects of the organization.

Collaborates closely with other areas within and outside the division on the development and maintenance of actuarial models and specific studies. In particular, works closely with business and IT partners to ensure predictive model results are implemented as intended.

Analyzes complex data to drive better business decisions throughout the organization.

Develops complex programming to extract and manipulate research data.  Includes data from both internal and external sources.

Develops processes to effectively analyze, communicate, monitor, and report results of predictive models to ensure customer expectations are met.  Processes will include: reports, metrics, and dashboards.

Participates in the execution of data analytics strategy to support the needs of the organization.

Duties and Responsibilities (cont'd if applicable)

The first five duties listed are the functions identified as essential to the job. Essential functions are those job duties that must be performed in order for the job to be accomplished. 
 
This position description in no way states or implies that these are the only duties to be performed by the incumbent. Employees are required to follow any other job-related instruction and to perform any other duties as requested by their supervisor, or as become clear. 

Competencies

Self-Development
Coding And Converting
Collaborates
Cultivates Innovation
Instills Trust
Information Management Skills
Decision Quality
Values Diversity
Job-Specific Knowledge
Nimble Learning
Customer Focus
Optimizes Work Processes
Ensures Accountability

Qualifications

Minimum Required Education Equivalents:

 PhD in mathematics, statistics, computer science or related field; or

 Master's degree in mathematics, statistics, computer science or related field and three years' predictive modeling experience or two years’ predictive modeling and one year programming experience, required; or

 Bachelor's degree in mathematics, statistics, computer science or related field and Associate designation in Casualty Actuarial Society (ACAS) and three year’s predictive modeling experience, required; or

 Bachelor's degree in mathematics, statistics, computer science or related field and five years' predictive modeling experience or three years’ predictive modeling and two years programming experience, required. 

 Five years' experience developing predictive models in insurance applications preferred.

Physical Requirements

Lifting 0-20 lbs; Occasional (<20%)
Lifting 20-50 lbs; Occasional (<20%)
Lifting Over 50 lbs; Occasional (<20%)
Driving; Rarely
Pushing/Pulling; Occasional (<20%)
Manual Keying/Data Entry; Often (20-50%)
Climbing; Rarely


Nearest Major Market: Erie