Senior Data Scientist | Generative AI

Wellhub (formerly Gympass) is a corporate wellness platform that connects employees to fitness, mindfulness, therapy, nutrition, and sleep resources in one subscription. This role is in the Generative AI area in Brazil and is remote within Brazil. This position is open to candidates located in Brazil. Opportunity Senior Data Scientist in Generative AI (Remote – Brazil). Responsibilities Multimodal Extraction: Apply state-of-the-art tools (OCR, vision-language models, document understanding frameworks) to interpret diverse input types. Prompt Engineering: Develop and refine strategies for using LLMs to extract, summarize, and transform unstructured content into structured formats. Data Quality & Structuring: Clean, validate, and transform messy, unstructured data into well-defined schemas for training or analytics pipelines. Content Filtering: Define standards and build systems for cleaning, validating, and filtering data to ensure accuracy, reduce bias, and align with ethical/safety guidelines. Human-in-the-Loop Feedback: Design feedback loops where experts validate or enrich data, improving LLM-based extraction reliability. Scalability & Optimization: Architect cost-efficient, high-throughput data pipelines robust to noisy or incomplete sources. Research & Prototyping: Experiment with emerging tools and methods in the LLM + multimodal space to enhance information coverage and extraction reliability. Collaboration: Partner with data engineers and other data scientists to integrate collected data into larger AI and analytics systems. Live the mission: foster wellbeing in the workplace and support work-life balance for teammates. Who You Are Master’s degree (or PhD) in Computer Science, Data Science, Machine Learning, Statistics, or a related field. Proficiency in Python and libraries for web scraping, OCR (e.g., Tesseract, EasyOCR), and NLP (e.g., HuggingFace Transformers). Deep understanding of LLM capabilities in multimodal and extraction contexts, including prompt engineering and few-shot learning. Strong background in unstructured data processing: APIs, web scraping, HTML parsing, OCR, image/document analysis. Strong analytical problem-solving skills, with a track record of turning noisy data into high-quality datasets for ML. Excellent communication and documentation skills, with the ability to influence across technical and product teams. Preferred Qualifications Familiarity with visual-language models (e.g., BLIP, Donut, or LayoutLM) and multimodal pipelines. Hands-on experience in prompt engineering and few-shot learning for data extraction tasks. Experience deploying or supporting data acquisition systems in production environments. What We Offer We are a wellness company committed to the health and wellbeing of our employees. Our flexible program allows you to customize benefits to your needs. WELLHUB: Access onsite gyms and fitness studios, digital fitness programs, and online wellness resources. Gold plan included at no cost; other premium plans discounted. WELLNESS: Health, dental, and life insurance. FLEXIBLE WORK: Flexible hybrid or full remote options with a home office stipend and monthly flexible work allowance. FLEXIBLE SCHEDULE: Flexibility to adjust working hours based on personal schedule and business needs. PAID TIME OFF: Vacations after 6 months; 3 days off per year + 1 day per year of tenure (up to 5 additional days) + birthday off. PAID PARENTAL LEAVE: 100% paid parental leave and extended maternity leave. CAREER GROWTH: Opportunities for personal and career development. CULTURE: Collaborative, global team with a value-based culture of trust, flexibility, and integrity. Diversity, Equity, and Belonging Wellhub is committed to a diverse, collaborative, and inclusive workplace. All qualified applicants will be considered for employment without regard to race, religion, color, sex, gender identity or expression, sexual orientation, age, disability, national origin, veteran status, or any other status protected by law. See our Job Applicant Privacy Notice for data handling information. Questions on how we treat your personal data? See our Job Applicant Privacy Notice. #J-18808-Ljbffr