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A corporate wellness platform is looking for a Remote Senior Data Scientist to enhance their Generative AI capabilities. Candidates should have a strong background in Python, experience in web scraping, and proficiency in multimodal data extraction techniques like OCR and NLP. This role emphasizes creating high-quality datasets and optimizing data pipelines. The company values wellbeing and offers flexible remote work options, competitive benefits, and opportunities for growth.
At Wellhub (Permanent), in Portugal
Salary : €55.000 - €68.000
Expires at : 2026-06-09
Remote policy : Full remote
Your wellbeing matters. Join a company that cares.
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.
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.
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.
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 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;
Scalability & Optimization : Architect cost-efficient, high-throughput data pipelines that are robust to noisy or incomplete sources;
Research & Prototyping : Experiment with emerging tools and methods in the LLM + multimodal space, exploring new ways 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 : 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.
Main requirements
We recognize that individuals approach job applications differently. We strongly encourage all aspiring applicants to go for it, even if they don't 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.
We're a wellness company that is committed to the health and wellbeing of our employees. Our benefits include :
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.