SENIOR DATA SCIENTIST | MACHINE LEARNING | DATA SCIENCE

At Wellhub (formerly Gympass) (Permanent), in Portugal Salary : €55.000 - €68.000 Expires at : 2025-12-09 Remote policy : Full remote Your wellbeing matters. Join a company that cares. GET TO KNOW US Wellhub (formerly Gympass) is a corporate wellness platform that connects employees to best partners for fitness, mindfulness, therapy, nutrition, and sleep, all included in one subscription designed to cost less than each individual partner. Founded in 2012 and headquartered in NYC, we have a growing global team in 11 countries. At Wellhub, you have the opportunity to build a career in a high-growth tech company that places wellbeing at the foundation of its culture, and contribute to making every company a wellness company. This transformation reflects our evolution from a "pass for gyms" to a comprehensive employee wellbeing solution. We are elevating our offerings, including a completely new app experience and an expanded network of wellbeing partners. THE OPPORTUNITY We are hiring a Senior Data Scientist in our Generative AI area in Portugal This is a Remote – Portugal position, meaning you can work from anywhere within the country. 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 ready for use in 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. Architect cost‐efficient, high‐throughput data pipelines that are robust to noisy or incomplete sources. Research & Prototyping: Collaboration: Partner with data engineers and other data scientists to integrate collected data into larger AI and analytics systems. MAIN REQUIREMENTS Master's degree (or PhD) in Computer Science, Data Science, Machine Learning, Statistics, or a related field. Proficiency in Python and experience with libraries for web scraping, OCR (e.g., 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. We strongly encourage all aspiring applicants to go for it, even if they don't match the job description 100%. For this specific role, please note that prior experience in data science and Python are mandatory requirements. NICE TO HAVE Familiarity with visual‐language models (e.g., Hands‐on experience in prompt engineering and few‐shot learning for data extraction tasks. Experience deploying or supporting data acquisition systems in production environments. BENEFITS & PERKS WHAT WE OFFER YOU We're a wellness company that is committed to the health and wellbeing of our employees. Our benefits include : WELLHUB: We believe in our mission and encourage our employees and their families to take care of their wellbeing too. Access digital fitness programs, and online wellness resources for meditation, nutrition, mental health support, and more. FLEXIBLE WORK: At Wellhub, flexibility fosters a happier, healthier, and more productive work environment for everyone. As a Flexible First company, we offer two work model options: flexible hybrid and full remote, and make the office a place for collaboration, community, and team building. We offer all employees a home office stipend and a monthly flexible work allowance to help cover the costs of working from home. FLEXIBLE SCHEDULE: PAID TIME OFF: Employees receive a minimum of 25 days paid holiday per year with an additional day for each year of tenure (up to 5) in addition to annual holidays (including an extra holiday on your birthday). You'll partner with global colleagues and share in the success of a high‐growth technology company disrupting the health and wellness space. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity or expression, sexual orientation, age, non‐disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.