Data Scientist

Data Scientist, ModelerTeleflora provides innovative marketing, education, and technology to make sure our member florists get the resources they need to thrive, creating beautiful bouquets with keepsake vases delivered to your door. We've been a part of The Wonderful Company family since 1979, and with a nationwide network of florists, we've become the world's largest flower delivery service. With more than 10,000 member florists in North America, we lead the industry by working directly with our florists to hand-arrange and hand deliver every bouquet!We are seeking a Data Scientist to lead forecasting, budgeting, and advanced analytics for our eCommerce business, while also driving adoption of AI and Large Language Models (LLMs) across analytics and business workflows.This role combines traditional data science (forecasting, LTV modeling, experimentation validation) with emerging AI capabilities to unlock new efficiencies and insights. A key aspect of this role is the ability to translate complex analyses into clear, compelling narratives for non-technical stakeholders, including senior leadership. The Data Scientist will also support A/B testing by validating results, while not owning test execution.This position will be based at our West Los Angeles, CA office. We work a hybrid schedule with an in-office requirement Monday-Wednesday and the option to work remotely on Thursday and Friday.Job DescriptionForecasting & Budgeting (Core Ownership)Own forecasting models for: Revenue, orders, conversion rates, and AOVMarketing performance and demand planningPartner with Finance and Leadership on budgeting and planning cyclesBuild scenario models to support strategic decisionsContinuously improve forecast accuracy using statistical and machine learning techniquesCustomer & LTV Modeling (Core Requirement)Design and maintain Customer Lifetime Value (LTV) modelsPerform cohort analysis, retention modeling, and customer segmentationIdentify key drivers of long-term customer value and profitabilityPartner with Marketing and Product to apply LTV insights to acquisition, retention, and personalization strategiesAI / LLM Strategy & ImplementationLead adoption of AI/LLM capabilities across analytics and business workflowsIdentify and implement use cases such as: Automated insight generation and reportingNatural language querying (NL ? SQL)Customer behavior summarization and segmentationBuild prototypes and scalable solutions using APIs (OpenAI, Claude, Gemini, etc.)Critically evaluate AI-generated outputs for accuracy, plausibility, and business relevanceAdvanced Analytics & ModelingDevelop models for: Demand forecasting and seasonalityCustomer behavior and conversion driversLeverage GCP/BigQuery for large-scale data analysisIdentify key drivers of performance across product, pricing, and customer behaviorA/B Test Validation & Experimentation SupportValidate statistical significance and methodology of A/B testsEnsure accuracy and consistency of test readoutsDefine guardrails and best practices for experimentation measurementPartner with Product and Analytics teams (without owning test execution)Communication & Executive Storytelling (Critical)Translate complex analyses into clear, actionable insights for non-technical stakeholdersDevelop high-quality presentations and narratives for senior leadership and executivesClearly articulate assumptions, risks, and confidence levels in models and forecastsInfluence decision-making through structured, data-driven storytellingData Strategy & Cross-Functional CollaborationWork closely with: Data Analytics Manager (India)Data Engineering / DW teamProduct, Marketing, and Finance stakeholdersHelp define scalable data models and structures to support analytics and AI use casesTooling & InfrastructureBuild models and workflows using: Python (preferred) or RSQL / BigQuery (GCP ecosystem)Work with modern AI tooling: LLM APIs (OpenAI, Claude, Gemini)Help establish scalable pipelines for both traditional ML and LLM-based systemsEstablish best practices for prompt design, validation, and governanceQualifications5+ years in Data Science or Advanced Analytics (preferably eCommerce or consumer business)Experience presenting to senior executives and driving decisionsStrong experience with: Forecasting and time series modelingCustomer Lifetime Value (LTV) modelingPython and SQL (BigQuery preferred)Statistical analysis and experimentationProven ability to build executive-level presentations and communicate complex insights clearlyHands-on experience with LLMs and AI tools (OpenAI, Claude, Gemini, etc.)Experience building or prototyping AI-powered workflows or applicationsStrong ability to evaluate and validate AI-generated outputs for accuracy and plausibilityUnderstanding of: Prompt engineeringModel limitations (hallucination, bias, cost tradeoffs)Excellent verbal and written communication skillsAbility to influence stakeholders across Product, Marketing, Finance, and LeadershipMaster's degree (or foreign equivalent) in Data Science or StatisticsPreferred:Experience with GCP ecosystemExposure to MLOps or productionizing modelsExperience in eCommerce or high-volume consumer environmentsPay Range: $130,000- $150,000. Final compensation will be dependent upon skills & experience.Additional InformationThriving Wellness Community: Access to top-notch medical coverage comprehensive vision and dental plans, and a 401k with match eligibility to secure your financial future and including: 24/7 online physician consultationsvirtual mental health resourceslife coachingengaging employee community groupscash rewards for healthy habits and fitness reimbursementslibrary of on-demand fitness videosCareer Advancement Opportunities: Unlock your potential with clear paths for career progression and internal mobility across our diverse family of brands and business units.Focused Learning and Development: Grow as a leader with our dedicated Learning and Organizational Development department, offering extensive resources like People Manager and leadership training, webinars, and eLearning courses.Empowering Mentorship Program: Connect with colleagues through our company-wide mentorship program to share goals, overcome challenges, and drive your career forward.Continuous Improvement Training: Participate in training that empowers all employees to learn and implement concepts that drive significant, positive change in the workplace.Building a Healthy Society: To date, our co-Founders Lynda and Stewart Resnick, through their foundations and The Wonderful Company, have invested more than $2.5 billion in education, health and wellness