Company Name: Pie Insurance

Job Details: Easy,Apply,Hiring,Remotely,in,United,States,Remote,145K-180K,Annually,Senior,level

Job Url: https://builtin.com/job/senior-data-scientist-insurance-modeling/6390830

Job Description: Pie's mission is to empower small businesses to thrive by making commercial insurance affordable and as easy as pie. We leverage technology to transform how small businesses buy and experience commercial insurance. Like our small business customers, we are a diverse team of builders, dreamers, and entrepreneurs who are driven by core values and operating principles that guide every decision we make.As a Senior Data Scientist, you'll be a key contributor to advancing our proprietary pricing excellence and solving complex business challenges across our organization. You will serve as both a technical expert and collaborative partner, helping establish Pie as the preeminent commercial insurer for small business owners through cutting-edge AI/ML solutions.Working closely with our Data Science, ML Engineering, and Product teams, you'll develop sophisticated models and contribute to scalable systems across pricing, underwriting, and claims. Your expertise will help make AI/ML a core competency for Pie.How You’ll Do ItWorking collaboratively with our Product, Data Engineering, and MLOps teams, you will be actively involved in the entire Model development lifecycle from conceptualization to deployment.Advanced Model Development & InnovationEnhance and reinvent next-generation risk models (frequency, severity, loss ratio) and pricing models with emphasis on robustness and explainabilityDesign and build AI/ML solutions for claims automation, underwriting optimization, and customer behavior analyticsBuild demand elasticity models to assess rate change impacts and optimize pricing strategies across customer segmentsConstruct high-signal features from diverse internal and external data sources using advanced ML and NLP techniquesTechnical Execution & CollaborationConduct model diagnostics and build interpretability frameworks using cutting-edge ML methodsMonitor model performance and develop mitigation strategies for addressing degradationLeverage experimentation techniques to optimize model overlays and business strategiesBuild and maintain scalable ML development pipelines supporting automation and reusabilitySupport MLOps teams in deploying and testing models into production operationsShowcase AI/ML capabilities to cross-functional teamsThe Right StuffTechnical ExcellenceHands-on technical experience in advanced analytics, ML, or AI development and implementationExperience with end-to-end product development using supervised/unsupervised learning, classification, regression, clustering, and deep learning approachesStrong understanding of the ML lifecycle, model validation, MLOps, and modern data science toolingStrong experience in causal inference, experimentation, and statistical methodsOwnership & ImpactProven ability to deliver robust, scalable solutions in fast-paced environmentsStrong problem-solving and analytical thinking capabilitiesExcellent communication skills with ability to translate technical concepts into business insightsExperience collaborating with cross-functional teams and stakeholdersGrowth mindset with eagerness to learn new domains and techniquesPreferred QualificationsBachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related quantitative field required; Master's/PhD preferred5+ years in advanced analytics, machine learning, or AI with 2+ years of technical ownership and leadership experience in driving projects and initiativesExperience in insurance, financial services, or other regulated industriesBackground in pricing models, risk assessment, or claims analyticsFamiliarity with Bayesian methods, time-series analysis, or multi-arm bandit approachesExperience with cloud platforms (AWS, Snowflake) and modern ML deployment practicesWhat to Expect in Your First 6 MonthsFoundation BuildingLearn about our business model and how we deploy analytics, ML, and AI solutions in pricing and underwritingUnderstand our data infrastructure and existing model portfolioBegin collaborating with underwriting and actuarial teams to identify improvement opportunitiesActive ContributionContribute to ongoing modeling projects while building domain expertiseParticipate in development of next-generation underwriting and pricing modelsEstablish working relationships across Product, Engineering, and business teamsOwnership & ImpactTake ownership of specific modeling initiatives and drive them to completionContribute to data science best practices and workflow improvementsPresent analytical insights and recommendations to leadership#LI-JE1Base Compensation Range$145,000—$180,000 USDCompensation & Benefits Competitive cash compensationA piece of the pie (in the form of equity)Comprehensive health plansGenerous PTOFuture focused 401k matchGenerous parental and caregiver leaveOur core values are more than just a poster on the wall; they’re tangibly reflected in our work Our goal is to make all aspects of working with us as easy as pie. That includes our offer process. When we’ve identified a talented individual who we’d like to be a Pie-oneer , we work hard to present an equitable and fair offer. We look at the candidate’s knowledge, skills, and experience, along with their compensation expectations and align that with our company equity processes to determine our offer ranges. Each year Pie reviews company performance and may grant discretionary bonuses to eligible team members.Location Information Unless otherwise specified, this role is remote. Remote team members must live and work in the United States (territories excluded) and have access to reliable, high-speed internet.Additional InformationPie Insurance is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, disability, national or ethnic origin, military service status, citizenship, or other protected characteristic.Pie Insurance participates in the E-Verify program. Please click here, here and here for more information.Pie Insurance is committed to protecting your personal data. Please review our Privacy Policy.  Safety First: Pie Insurance is committed to your security during the recruitment process. We will never ask you for credit card information or ask you to purchase any equipment during our interview or onboarding process.Pie Named to 2025 America's Best Startup EmployersPie's Ford Pro Insure Coverage expanded to Pennsylvania and TexasPie Insurance 2025 State of Workplace Safety Report #LI-REMOTE#BI-REMOTE