The main focus for the data scientist is developing/monitoring models used in multivariate analysis, linear modeling and data miningThis would include developing and testing predictive risk models; interact, understand and articulate the complex mathematical and computational learning conceptsIn 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.
Responsibilities/tasks:
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 companyHelps 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
This position description identifies the responsibilities and tasks typically associated with the performance of the positionOther relevant essential functions may be required.
Employment qualifications:
Education:
Bachelor’s degree in insurance, math, economics, statistics, or computer science requiredAdvanced degree in statistics, actuarial science, or applied mathematics preferredContinuous learning, as defined by the company’s learning philosophy, is requiredCertification or progress toward certification is highly preferred and encouraged.
Experience:
With proper education credentials, no experience is required; however, healthcare, medicare, predictive modeling and actuarial experience are preferred.
Skills/knowledge/abilities (ska) required:
Excellent interpersonal, organizational and communication skills.
Ability and proficiency in the use of computers and company standard software specific to positionGeneral familiarity with the following software: sas, r, sql.
Strong database management skills.
Ability to provide direction 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.
Working conditions:
Work is performed in a home/ office setting with no unusual hazardsMinimal travel may be required.
The qualifications listed above are intended to represent the minimum education, experience, skills, knowledge and ability levels associated with performing the duties and responsibilities contained in this job description.
We are an equal opportunity employerDiversity is valued and we will not tolerate discrimination or harassment in any formCandidates for the position stated above are hired on an `at will` basisNothing herein is intended to create a contract
