12 дней назад
Senior Manager, Decision Science (AI)
120 400 - 198 700$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Manager, Decision Science (AI): Applying statistical modeling, experimental design, and advanced analytics to support data-driven business decisions across insurance functions with an accent on explanatory modeling, inferential techniques, and actionable insight generation. Focus on analyzing large-scale multidimensional data, selecting appropriate methodologies, and integrating Python, AWS Bedrock, SageMaker, FAISS, and NLP/LLM tooling.
Location: Hartford, Connecticut, United States
Annual base salary: $120,400–$198,700, plus eligibility for performance-based cash incentive awards.
Company
is a property and casualty insurance company focused on customer, community, and employee support, innovation, and collaboration.
What you will do
- Procure and prepare data for current and future analyses and prototypes while following coding best practices.
- Improve data quality and recommend enhancements to data assets and processes.
- Apply diagnostic, multivariate, experimental, and inferential techniques to answer business questions and assess impacts.
- Explore and propose analytical tools, techniques, and industry best practices for business problems.
- Create visualizations and communicate analytical findings and recommended actions to stakeholders.
- Build partnerships across business and functional teams, mentor less experienced analysts, and support onboarding and talent assessment.
Requirements
- Bachelor’s degree in a STEM-related field, or four years of relevant experience in data, analytics, engineering, science, or technical analytical fields.
- At least five years of related data and analytics experience.
- Experience with experimental design, hypothesis testing, clustering, time series, causal inference, GLMs, predictive modeling, and other statistical methods.
- Advanced experience working with large-scale multidimensional data and open-source, cloud-enabled analytical programming languages.
- Python is required; experience with SQL, AWS Bedrock, SageMaker, FAISS or equivalent vector databases, and NLP/LLM tooling is required or specified as core technical expertise.
- Experience leading complex projects and communicating analytical methodology and findings to stakeholders at different organizational levels.
Nice to have
- Experience in Business Insurance.
- Experience with R.
Culture & Benefits
- Health insurance for employees and eligible family members from the first day of employment.
- Dollar-for-dollar 401(k) matching on the first 5% of eligible pay, subject to an annual maximum, plus a -funded pension plan.
- At least 20 paid time-off days annually and nine company holidays.
- Wellness resources, discounts, caregiving support, and free professional counseling services.
- Student-loan savings support and volunteer and charitable matching programs.
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