Data Scientist

Ascendion; Teletrabalho; BRL 160.000 - 200.000; Tempo parcial

Resumo da oferta

Uma empresa de soluções digitais está buscando um Cientista de Dados Sênior para avaliar produtos baseados em LLM. O candidato ideal deve ter 6-7 anos de experiência em Data Science e forte conhecimento em IA generativa. O trabalho envolve revisão e avaliação de saídas de IA, definição de critérios de avaliação e colaboração com equipes de engenharia. O modelo de trabalho é remoto, oferecendo flexibilidade e a oportunidade de impactar a transformação digital em clientes de ponta.

Qualificações

• 6-7 anos de experiência em papéis de Data Science, ML ou AI.
• Experiência prática na avaliação de saídas de LLM.
• Interesse em segurança de IA, confiabilidade e processos de IA responsável.

Responsabilidades

• Revisar e avaliar saídas de LLM quanto à qualidade e precisão.
• Definir critérios de avaliação simples e diretrizes de pontuação.
• Analisar resultados e compartilhar feedback claro com equipes de produto e engenharia.

Conhecimentos

Experiência em Data Science

Experiência com LLMs e Inteligência Artificial Generativa

Habilidades sólidas em Python

Habilidades de comunicação

Mentalidade colaborativa

Ferramentas

AWS: Lambda, EC2, S3, SQS, SNS

Descrição da oferta de emprego

Descrição da vaga

About Ascendion

Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next.

Ascendion | Engineering to elevate life

We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:

• Build the coolest tech for the world’s leading brands
• Solve complex problems – and learn new skills
• Experience the power of transforming digital engineering for Fortune 500 clients
• Master your craft with leading training programs and hands‑on experience.

Experience a community of change-makers!

Join a culture of high‑performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.

About the Role

Job Title: Data Scientist

Contract Type: Contract in Brazil

Office model - Remote

We’re looking for a Senior Data Scientist focused on evaluating LLM-based products. The role is all about making sure AI outputs are high‑quality, accurate, safe, and useful, using a mix of human evaluation and LLM-based evaluation approaches (LLM-as-a-Judge and LLM-as-a-Jury). You’ll work closely with SMEs, product, and engineering teams to build and scale evaluation frameworks that help improve AI products.

What You’ll Do:

• Review and evaluate LLM outputs for quality, accuracy, safety, and relevance.
• Work with SMEs on manual and human‑in‑the‑loop evaluations.
• Use LLMs to evaluate other LLMs (LLM-as-a-Judge / LLM-as-a-Jury)
• Define simple evaluation criteria and scoring guidelines.
• Analyze results and share clear feedback with product and engineering teams.
• Help improve evaluation processes and best practices over time.

What We’re Looking For:

• 6-7 years of experience in Data Science, ML, or AI roles.
• Strong experience with LLMs and Generative AI.
• AWS: Core AWS - Lambda, EC2, S3, SQS, SNS, etc.
• Hands‑on experience evaluating LLM outputs (manual or automated).
• Solid Python skills for analysis and automation.
• Experience with LLMs like ChatGPT, Claude, Mistral, or similar.
• Strong communication skills and a collaborative mindset.

Nice to Haves:

• Experience with AI evaluation metrics or quality frameworks.
• Familiarity with LLMOps or AI monitoring.
• Interest in AI safety, reliability, and responsible AI processes.