Lead Data Scientist

Blue Cross Blue Shield of Michigan•Lansing, MI

About The Position

SUMMARY The main focus for this role is developing/monitoring models used in multivariate analysis, linear modeling and data mining. This would include developing and testing predictive risk models; interact, understand and articulate complex mathematical and computational learning concepts (to appropriate staff). In addition, this position will be expected to understand the business goals (growth) and capital strength and make strategic recommendations to enhance business processes and reflect our strategic goals. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned. Responsibilities will be multi-disciplinary and will include: Provides technical and quantitative analysis for predictive modeling group. Assists in statistical data mining and actuarial research by applying advanced statistical concepts. Uses computer technology, computer modeling, spreadsheet applications, software tools, and programming languages. Participates in and is responsible for projects requiring advanced statistical analyses, innovative research, mathematical calculations, and technical skills. Conducts research utilizing predictive modeling. Interprets data and identifies correlations using both univariate and multivariate analysis. Participates in and is responsible for advanced projects. Presents findings and recommendations to appropriate groups. Prepares and delivers summary reports to the relevant or affected areas within the company. Helps to determine what actionable steps can be taken based on the findings. Communicates and trains users on model results. Develops custom, explainable models that enhance business processes to reflect corporate goals, experience, and current market conditions using pattern recognition, evolutionary computation, and machine learning algorithms. Document model requirements. Examine and analyze data to determine optimal modeling approach. Identify candidate risk factors. Build models using training, test, and cross-validation data sets. Share model results. Finalize model. Delivers conclusions. Deploy and maintain models with or without the assistance of the IT department Oversees predictive model projects from development through implementation and post deployment, as assigned. Assigns project tasks to team members and oversees results and manages projects. Mentors other team members in project management and provides guidance to the team EDUCATION AND EXPERIENCE Relevant combination of education and experience may be considered in lieu of degree. Bachelor’s degree in insurance, math, economics, statistics, or computer science required. Advanced degree in statistics, actuarial science, or applied mathematics preferred. Continuous learning, as defined by the Company’s learning philosophy, is required. Certification or progress toward certification is highly preferred and encouraged. Ten (10) years of progressively responsible experience in research, modeling or actuarial required, including at least three (3) years of experience leading project teams. Workers compensation experience is preferred. QUALIFICATIONS To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. OTHER SKILLS AND ABILITIES Excellent interpersonal, organizational and communication skills. Ability and proficiency in the use of computers and company standard software specific to position. General familiarity with the following software: SAS, R, SQL. Strong database management skills. Ability to provide directions to other department analysts. Ability to use independent judgment and initiative and to anticipate needs of executive and department, accomplishing tasks without direction. Ability to work effectively as a member of a team. Resourceful problem solving skills and desire to succeed. Knowledge of insurance and underwriting techniques, agency and policyholder needs. Ability to establish workflows, manages multiple projects, meet necessary deadlines, and work without supervision. Exercise sufficient discretion and independent judgment with a wide degree of creativity and latitude. Ability to apply the principles of independent logical thinking to define problems, collect data, establish facts, draw valid conclusions and make actionable strategic recommendations. Ability to manage responsibilities as unexpected pressures/dilemmas arise. Ability to comprehend consequences of various situations and make appropriate individuals aware of same for decision making. Ability to maintain confidentiality. Expert knowledge of statistical modeling and data mining techniques. Expert knowledge of modeling software and data manipulation techniques. Ability to lead a project team in the full scope of project assignments. Ability to serve as a mentor to others. ADDITIONAL INFORMATION The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. This job description does not constitute a contract for employment. PAY RANGE: “Actual compensation decision relies on the consideration of internal equity, candidate’s skills and professional experience, geographic location, market and other potential factors. It is not standard practice for an offer to be at or near the top of the range, and therefore a reasonable estimate for this role is between $137,900 and $231,000.” We are an Equal Opportunity Employer. We will not tolerate discrimination or harassment in any form. Candidates for the position stated above are hired on an "at will" basis. Nothing herein is intended to create a contract. #LI-CH1 #AFG

Requirements

Relevant combination of education and experience may be considered in lieu of degree.
Bachelor’s degree in insurance, math, economics, statistics, or computer science required.
Ten (10) years of progressively responsible experience in research, modeling or actuarial required, including at least three (3) years of experience leading project teams.
Excellent interpersonal, organizational and communication skills.
Ability and proficiency in the use of computers and company standard software specific to position.
General familiarity with the following software: SAS, R, SQL.
Strong database management skills.
Ability to provide directions to other department analysts.
Ability to use independent judgment and initiative and to anticipate needs of executive and department, accomplishing tasks without direction.
Ability to work effectively as a member of a team.
Resourceful problem solving skills and desire to succeed.
Knowledge of insurance and underwriting techniques, agency and policyholder needs.
Ability to establish workflows, manages multiple projects, meet necessary deadlines, and work without supervision.
Exercise sufficient discretion and independent judgment with a wide degree of creativity and latitude.
Ability to apply the principles of independent logical thinking to define problems, collect data, establish facts, draw valid conclusions and make actionable strategic recommendations.
Ability to manage responsibilities as unexpected pressures/dilemmas arise.
Ability to comprehend consequences of various situations and make appropriate individuals aware of same for decision making.
Ability to maintain confidentiality.
Expert knowledge of statistical modeling and data mining techniques.
Expert knowledge of modeling software and data manipulation techniques.
Ability to lead a project team in the full scope of project assignments.
Ability to serve as a mentor to others.

Nice To Haves

Advanced degree in statistics, actuarial science, or applied mathematics preferred.
Continuous learning, as defined by the Company’s learning philosophy, is required.
Certification or progress toward certification is highly preferred and encouraged.
Workers compensation experience is preferred.

Responsibilities

Provides technical and quantitative analysis for predictive modeling group.
Assists in statistical data mining and actuarial research by applying advanced statistical concepts.
Uses computer technology, computer modeling, spreadsheet applications, software tools, and programming languages.
Participates in and is responsible for projects requiring advanced statistical analyses, innovative research, mathematical calculations, and technical skills.
Conducts research utilizing predictive modeling.
Interprets data and identifies correlations using both univariate and multivariate analysis.
Participates in and is responsible for advanced projects.
Presents findings and recommendations to appropriate groups.
Prepares and delivers summary reports to the relevant or affected areas within the company.
Helps to determine what actionable steps can be taken based on the findings.
Communicates and trains users on model results.
Develops custom, explainable models that enhance business processes to reflect corporate goals, experience, and current market conditions using pattern recognition, evolutionary computation, and machine learning algorithms.
Document model requirements.
Examine and analyze data to determine optimal modeling approach.
Identify candidate risk factors.
Build models using training, test, and cross-validation data sets.
Share model results.
Finalize model.
Delivers conclusions.
Deploy and maintain models with or without the assistance of the IT department
Oversees predictive model projects from development through implementation and post deployment, as assigned.
Assigns project tasks to team members and oversees results and manages projects.
Mentors other team members in project management and provides guidance to the team