Your wellbeing matters. Join a company that cares. GET TO KNOW US Wellhub (formerly Gympass*) is a corporate wellness platform that connects employees to the 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. *Big news: Gympass is now Wellhub!  We are thrilled to announce our rebranding as Wellhub, marking a significant milestone in our journey. This transformation reflects our evolution from a “pass for gyms” to a comprehensive employee wellbeing solution. With our refreshed identity, we are poised to embark on an exciting new chapter of growth and expansion. We are elevating our offerings, including a completely new app experience and an expanded network of wellbeing partners. Learn more about it <a href="https://gympass.com/en-us/blog/gympass-news/gympass-rebrands-to-wellhub/">here. </a> 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. Please note that this role is only open to candidates in Portugal.  YOUR IMPACT <ul> <li>Multimodal Extraction: Apply state-of-the-art tools (OCR, vision-language models, document understanding frameworks) to interpret diverse input types;</li> <li>Prompt Engineering: Develop and refine strategies for using LLMs to extract, summarize, and transform unstructured content into structured formats;</li> <li>Data Quality &amp; Structuring: Clean, validate, and transform messy, unstructured data into well-defined schemas ready for use in training or analytics pipelines;</li> <li>Content Filtering: Define standards and build systems for cleaning, validating, and filtering data to ensure accuracy, reduce bias, and align with ethical/safety guidelines;</li> <li>Human-in-the-Loop Feedback: Design feedback loops where experts validate or enrich data, improving LLM-based extraction reliability;</li> <li>Scalability &amp; Optimization: Architect cost-efficient, high-throughput data pipelines that are robust to noisy or incomplete sources;</li> <li>Research &amp; Prototyping: Experiment with emerging tools and methods in the LLM + multimodal space, exploring new ways to enhance information coverage and extraction reliability;</li> <li>Collaboration: Partner with data engineers and other data scientists to integrate collected data into larger AI and analytics systems;</li> <li>Live the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life balance.</li> </ul> WHO YOU ARE <ul> <li>Master’s degree (or PhD) in Computer Science, Data Science, Machine Learning, Statistics, or a related field;</li> <li>Proficiency in Python and experience with libraries for web scraping, OCR (e.g., Tesseract, EasyOCR), and NLP (e.g., HuggingFace Transformers);</li> <li>Deep understanding of LLM capabilities in multimodal and extraction contexts, including prompt engineering and few-shot learning;</li> <li>Strong background in unstructured data processing: APIs, web scraping, HTML parsing, OCR, image/document analysis;</li> <li>Strong analytical problem-solving skills, with a track record of turning noisy data into high-quality datasets for ML;</li> <li>Excellent communication and documentation skills, with the ability to influence across technical and product teams.</li> </ul> Preferred Qualifications: <ul> <li>Familiarity with visual-language models (e.g., BLIP, Donut, or LayoutLM) and multimodal pipelines;</li> <li>Hands-on experience in prompt engineering and few-shot learning for data extraction tasks;</li> <li>Experience deploying or supporting data acquisition systems in production environments.</li> </ul> We recognize that individuals approach job applications differently. We strongly encourage all aspiring applicants to go for it, even if they dont match the job description 100%. We welcome your application and will be delighted to explore if you could be a great fit for our team. For this specific role, please note that prior experience in data science and Python are mandatory requirements. WHAT WE OFFER YOU  Were 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. You will receive the Gold plan at no cost, and other premium plans will be significantly discounted. FITNESS: Additional fitness subsidy to access onsite gyms and fitness studios. 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. The model for this role can be discussed with your recruiter and hiring manager. 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: We understand that together, Wellhubbers and their leaders can make the best decisions for their own individual scopes. This includes flexibility to adjust their working hours based on their personal schedule, time zone, and business needs.  PAID TIME OFF: We know how important it is to take time away from work to recharge. 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!). PARENTAL LEAVE: Welcoming a new child is one of the most special moments in your life and we want our employees to take the time to be present and enjoy their growing family. We offer 100% paid parental leave to all new parents and extended maternity leave. CAREER GROWTH: Outstanding opportunities for personal and career growth. That means we maintain a growth mindset in everything we do and invest deeply in employee development. CULTURE: An exciting and supportive environment filled with passionate individuals from all over the world! You’ll partner with global colleagues and share in the success of a high-growth technology company disrupting the health and wellness space. Our value-based culture of trust, flexibility, and integrity makes this possible every day. Find more info on our <a href="https://wellhub.com/careers/">careers page</a>!  And to get a glimpse of life at Wellhub… Follow us on <a href="https://www.instagram.com/lifeatwellhub/">Instagram</a> @lifeatwellhub and <a href="https://www.linkedin.com/company/wellhub/">LinkedIn</a>   Diversity, Equity, and Belonging at Wellhub We aim to create a collaborative, supportive, and inclusive space where everyone knows they belong.  Wellhub is committed to creating a diverse work environment and is proud to be an equal opportunity employer. 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. Questions on how we treat your personal data? See our <a href="https://wellhub.com/en-us/careers/job-applicant-privacy-notice/">Job Applicant Privacy Notice.</a> #LI-REMOTE