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Responsible for contributing to and scaling advanced analytics within the Life Business Unit. Applies strong, developing-to-advanced skills in machine learning, statistical analysis, and data-driven decision making—along with emerging Generative AI capabilities—to design, prototype, and implement analytics solutions and decision-support tools. Works collaboratively with business and technology partners to deliver measurable outcomes, following established engineering, governance, and risk management standards.
Job Responsibility:
Apply statistics, machine learning, programming, and data modeling to identify patterns, generate hypotheses, and develop prototypes that improve business outcomes
Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets
Design, develop, and evaluate predictive models and algorithms to extract value from structured enterprise data
Identify, frame, and prototype Generative AI use cases that improve business outcomes (e.g., summarization, extraction, classification, enterprise Q&A, decision-support assistants) using approved enterprise tools and data sources
Create and present materials that translate complex data analysis into easy-to understand stories with persuasive recommendations for all levels of management
Support experimentation and measurement: analyze and interpret results from tests/experiments
communicate findings and recommendations to product, service, and business stakeholders
Use a flexible, analytical approach to design, develop and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data
Collaborate with both business and IT subject matter experts (SMEs) to implement and support solutions
Provide thought leadership by researching best practices, conducting experiments, and demonstrating/articulating value proposition for the use of advanced analytics
Write production-quality code and documentation that is clear, testable, and maintainable
Participate in transformation, analytics, and customer journey initiatives as needed as part of the Life Operating Model
Commitment to embrace Sammons Financial Group Companies shared values (Accountability, Connection, Openness, Respect and Integrity)
As stated within the Company Attendance and Punctuality policy, regular attendance is required and expected in order to meet the business service levels and workflow demands
Participate in other initiatives and/or projects as necessary
Requirements:
Bachelor's Degree in Computer Science, Statistics, Mathematics or related technical discipline Required
Minimum 5 years' statistical or data science experience Required
Experience applying machine learning/statistics to business problems (modeling, measurement, and communicating results) Required
Proficiency with R, Python, SAS and/or background in programming required
Deep knowledge of machine learning statistics, optimization or related field required
Strong written and verbal communication skills including the ability to work with business leaders at all levels
Ability to independently research, analyze and resolve problem situations using good judgment and sound decision making
Strong interpersonal skills with ability to influence without authority, ability to adapt to change and ability to think creatively to accomplish results
Ability to create and deliver presentations and demonstrations to executives
Demonstrated track record of dealing well with ambiguity, prioritizing needs and delivering results in a dynamic environment
Strong initiative, self-motivation and ability to work independently
Ability to handle multiple projects at one time and effectively work under deadline pressures
Criminal background check required
Nice to have:
Master's Degree or PhD in Computer Science, Statistics, Mathematics or related technical discipline Preferred
Experience working with large data sets, simulation/optimization, and distributed computing tools strongly preferred
Experience with common data visualization tools such as PowerBI or Tableau strongly preferred
Experience in insurance and financial services, specifically life insurance and annuities strongly preferred
Experience with Hadoop, Azure, Snowflake or similar Preferred
Experience with initiatives such as life insurance underwriting, annuity suitability, sales modeling, fraud detection or claims Preferred
Hands-on experience building proofs of concept or production quality features using LLMs (via approved APIs/platforms) Preferred
What we offer:
Health, Dental, Vision, Company Paid Retirement, PTO and Holiday Pay
Employee Stock Ownership Plan (ESOP) is a 100% company-funded retirement plan
Healthy balance between work and personal lives. Friday afternoons off all year long, competitive PTO, and generous number of paid holidays
Incentive program for defined goals subject to eligibility and performance. Monetary rewards are based on individual and/or overall company performance
Colleagues who support one another, model our core values, and drive our healthy, high-performing culture