Cientista de Dados Sênior - GenAI & LLMs at Expedia

São Paulo, State of São Paulo, Brazil

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Datatech, Financial Services, Risk Analysis, Fraud PreventionIndustries

Requirements

5+ anos de experiência em Data Science/ML, com pelo menos 1 ano em GenAI/LLMs
Proficiência em Python e bibliotecas de data science (pandas, scikit-learn, matplotlib)
Vivência em NLP, embeddings e técnicas de processamento de texto
Sólidos conhecimentos em estatística, experimentação (A/B testing) e análise de dados
Experiência com evaluation de modelos generativos (BLEU, ROUGE, BERTScore etc.)
Familiaridade com frameworks de LLMs e MultiAgents (OpenAI, LangChain, CrewAI, VannaAI)
Conhecimento de SQL e manipulação de grandes volumes de dados
Differentials (Nice-to-Have)
Mestrado ou PhD em áreas quantitativas (Estatística, Ciência da Computação, Matemática)
Experiência com Fine-tuning e transfer learning
Domínio de frameworks de ML (PyTorch, TensorFlow, Hugging Face)
Domínio de frameworks e ferramentas de automação (n8n, FlowIse, LangFlow)
Experiência com Prompt Optimization (DSPy, Automatic Prompt Engineering)
Conhecimento em interpretabilidade e explainability de modelos
Familiaridade com ferramentas de visualização (Plotly, Streamlit, Tableau)

Responsibilities

Conduzir experimentos com diferentes LLMs (GPTs, Claude, Gemini, Llama, Deepseek, etc) aplicados a casos de uso de negócio
Desenvolver frameworks de avaliação e benchmarking para agentes GenAI (accuracy, relevance, hallucination)
Otimizar pipelines de RAG, ajustando chunking, embeddings e estratégias de retrieval com base em métricas reais
Medir performance e ROI de agentes, criando dashboards e relatórios de experimentação
Implementar A/B tests e análises comparativas de prompts, modelos e arquiteturas
Criar datasets de avaliação e benchmarks específicos por domínio
Apoiar decisões estratégicas entre Fine-Tuning, RAG ou Prompt Engineering
Documentar descobertas e traduzir resultados em recomendações acionáveis para produto e tecnologia

Skills

GenAI

LLMs

GPT

Claude

Gemini

Llama

Deepseek

RAG

Embeddings

Prompt Engineering

Fine-Tuning

A/B Testing

Benchmarking

Data Science

Machine Learning

Dashboards

Expedia

Travel booking platform for flights, hotels, rentals

About Expedia

Expedia Group operates in the travel industry, offering a wide range of services for travelers and travel-related businesses. It connects users with options for flights, hotels, car rentals, vacation packages, and activities through its various brands, including Expedia, Hotels.com, and Vrbo. Travelers can easily find and book trips that match their preferences and budgets. The company earns revenue primarily through commissions on bookings and advertising from travel service providers looking to promote their offerings. Additionally, Expedia Group supports its partners by providing access to valuable data and technology, helping them improve their operations and grow their businesses. The goal of Expedia Group is to create a seamless travel experience for users while maximizing the potential of its partners.

Bellevue, WashingtonHeadquarters

1996Year Founded

$3,277.3MTotal Funding

IPOCompany Stage

Consumer Goods, EntertainmentIndustries

10,001+Employees

Benefits

Competitive Paid Time Off

Travel Discounts

Healthcare Flexible Spending Accounts

Employee Assistance Program

Wellness & Travel Reimbursement

Workplace Accomodations

Medical, Dental, & Vision Insurance

Matching Gifts

New Parental Benefits

Risks

Riyadh Air's entry could increase competition, affecting Expedia's market share.

CFO transition may lead to strategic shifts impacting financial management and investor confidence.

Expedia's partnerships may strain resources, affecting service quality if not managed well.

Differentiation

Expedia offers a comprehensive suite of travel services under one platform.

The company leverages a diverse portfolio of brands like Hotels.com and Vrbo.

Expedia provides partners with valuable data and technology to optimize their offerings.

Upsides

Expedia can capitalize on the rise of 'workcations' with longer stay packages.

The trend of 'bleisure' travel offers opportunities for specialized leisure-business packages.

Increased demand for personalized travel experiences can enhance user engagement for Expedia.

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