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American National · 1 day ago

Data Scientist II

US NE - Omaha

Full-time

Onsite

Entry, Mid Level

2+ years exp

American National is a subsidiary of Brookfield Wealth Solutions, focused on providing wealth protection and retirement services. The Data Scientist II role involves developing and analyzing operational and organizational data to improve competitive performance and implement solutions. Responsibilities include designing models, collaborating with stakeholders, and staying updated on industry trends.

Auto InsuranceFinancial ServicesHealth CareHealth InsuranceInsuranceLife Insurance

No H1B

Responsibilities

Designs and participates in the end-to-end model process of analyzing large structured, semi structured, and unstructured datasets, developing models, implementing solutions and monitoring outcomes

Combine business acumen with mathematical capabilities to develop and fine tune state of the art across a variety of insurance related application with some guidance

Works closely with business partners and stakeholders to identify critical questions and build hypotheses; develop problem definition, analytical approach, and determines best approach to address business issues

Translates technical analyses and results into simple visuals and actionable items for business partners

Participates in the selection of research tools and technologies, design of a common research process, and brainstorming new opportunities and methodologies

Researches and maintains awareness of industry best practices and business strategies

Proactively brings in new and innovative ideas and approaches to develop business solutions

Monitors industry and competitor trends to determine potential impact to predictive models

Identifies, leverages, develops, and demonstrates expertise in emerging technologies, open-source tools, and harnesses advance machine learning techniques (e.g., GBM, Decision tree, Random Forest, NLP)

Qualification

SQLPythonRMachine LearningStatistical AnalysisBig Data TechnologiesData ManagementBusiness AcumenCommunication SkillsProblem Solving

Required

Bachelor's degree

Two to four years of experience

Supervisory/management experience not required

A master's degree will be considered in lieu of one to two years of experience

Must have strong communication and people skills

Proficiency in emerging technologies, programming languages suitable for database access, scripting, and statistical analysis (i.e., SQL, SAS, Python, R) and new modeling techniques

Understanding of software development best practices including source control, coding standards and testing framework

Experience working with large, complex datasets using big data technologies and script

Experience formulating, approaching, analyzing, and solving analytical problems using a quantitative, scientific approach

Solid knowledge and understanding managing data to scale using data summarization, query and analysis software and tools