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About the Role

Teleflora is seeking a Data Scientist to lead forecasting, budgeting, and advanced analytics for their eCommerce business, while also driving adoption of AI and Large Language Models (LLMs) across analytics and business workflows. This role combines traditional data science with emerging AI capabilities to unlock new efficiencies and insights, translating complex analyses into clear narratives for non-technical stakeholders.

Responsibilities

Own forecasting models for revenue, orders, conversion rates, and AOV.
Own forecasting models for marketing performance and demand planning.
Partner with Finance and Leadership on budgeting and planning cycles.
Build scenario models to support strategic decisions.
Continuously improve forecast accuracy using statistical and machine learning techniques.
Design and maintain Customer Lifetime Value (LTV) models.
Perform cohort analysis, retention modeling, and customer segmentation.
Identify key drivers of long-term customer value and profitability.
Partner with Marketing and Product to apply LTV insights to acquisition, retention, and personalization strategies.
Lead adoption of AI/LLM capabilities across analytics and business workflows.
Identify and implement use cases such as automated insight generation, natural language querying (NL → SQL), and customer behavior summarization and segmentation.
Build prototypes and scalable solutions using APIs (OpenAI, Claude, Gemini, etc.).
Critically evaluate AI-generated outputs for accuracy, plausibility, and business relevance.
Develop models for demand forecasting, seasonality, customer behavior, and conversion drivers.
Leverage GCP/BigQuery for large-scale data analysis.
Identify key drivers of performance across product, pricing, and customer behavior.
Validate statistical significance and methodology of A/B tests.
Ensure accuracy and consistency of test readouts.
Define guardrails and best practices for experimentation measurement.
Partner with Product and Analytics teams (without owning test execution).
Translate complex analyses into clear, actionable insights for non-technical stakeholders.
Develop high-quality presentations and narratives for senior leadership and executives.
Clearly articulate assumptions, risks, and confidence levels in models and forecasts.
Influence decision-making through structured, data-driven storytelling.
Work closely with Data Analytics Manager (India), Data Engineering / DW team, Product, Marketing, and Finance stakeholders.
Help define scalable data models and structures to support analytics and AI use cases.
Build models and workflows using Python (preferred) or R.
Build models and workflows using SQL / BigQuery (GCP ecosystem).
Work with modern AI tooling: LLM APIs (OpenAI, Claude, Gemini).
Help establish scalable pipelines for both traditional ML and LLM-based systems.
Establish best practices for prompt design, validation, and governance.

Requirements

5+ years in Data Science or Advanced Analytics (preferably eCommerce or consumer business).
Experience presenting to senior executives and driving decisions.
Strong experience with forecasting and time series modeling.
Strong experience with Customer Lifetime Value (LTV) modeling.
Strong experience with Python and SQL (BigQuery preferred).
Strong experience with statistical analysis and experimentation.
Proven ability to build executive-level presentations and communicate complex insights clearly.
Hands-on experience with LLMs and AI tools (OpenAI, Claude, Gemini, etc.).
Experience building or prototyping AI-powered workflows or applications.
Strong ability to evaluate and validate AI-generated outputs for accuracy and plausibility.
Understanding of prompt engineering.
Understanding of model limitations (hallucination, bias, cost tradeoffs).
Excellent verbal and written communication skills.
Ability to influence stakeholders across Product, Marketing, Finance, and Leadership.
Master's degree (or foreign equivalent) in Data Science or Statistics.
Preferred: Experience with GCP ecosystem.
Preferred: Exposure to MLOps or productionizing models.
Preferred: Experience in eCommerce or high-volume consumer environments.

Skills

Forecasting
Budgeting
Advanced Analytics
AI
Large Language Models (LLMs)
Data Science
LTV modeling
Experimentation validation
Statistical analysis
Machine learning
Python
R
SQL
BigQuery
GCP
LLM APIs (OpenAI, Claude, Gemini)
Prompt engineering
Executive Storytelling
Communication

Location

West Los Angeles, CA

Work Type

Hybrid

Experience Level

5+ years

Education Level

Master's degree (or foreign equivalent) in Data Science or Statistics

Salary/Compensations

USD 100,000 - USD 135,000 - yearly

Benefits

Top-notch medical coverage
Comprehensive vision and dental plans
401k with match eligibility
24/7 online physician consultations
Virtual mental health resources
Life coaching
Engaging employee community groups
Cash rewards for healthy habits and fitness reimbursements
Library of on-demand fitness videos
Clear paths for career progression and internal mobility
Dedicated Learning and Organizational Development department
People Manager and leadership training
Webinars
eLearning courses
Company-wide mentorship program
Continuous Improvement Training
Wonderful Giving program
Wonderful Neighbor program

About the Company

Teleflora provides innovative marketing, education, and technology to member florists.
Teleflora has been a part of The Wonderful Company family since 1979.
Teleflora is the world's largest flower delivery service with more than 10,000 member florists in North America.
Teleflora leads the industry by working directly with its florists to hand-arrange and hand-deliver every bouquet.
The Wonderful Company is a successful, fast-growing privately held $6 billion company with 10,000 employees worldwide.
The Wonderful Company's connection to consumers has health at its heart and giving back in its DNA.
The company has a long-standing commitment to corporate social responsibility, including significant investments in environmental sustainability, charitable giving, education initiatives, and innovative health and wellness programs.

Equal Opportunity

The Wonderful Company is an Equality Opportunity Employer that provides opportunities for advancement.
We are committed to creating a diverse workforce that embodies a deep culture of acceptance, equity, and inclusion.
All qualified applicants will receive consideration for employment without regard to race, color, region, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories.
EEO is the law