[Hiring] Senior Data Scientist @Wellhub

Wellhub; Deutschland; Remote; EUR 80.000 - 100.000; Vollzeit

Zusammenfassung

A wellness company is seeking a Senior Data Scientist to work remotely in Portugal. The role focuses on multimodal data extraction, using tools like Python and various NLP libraries. Candidates should possess a Master's degree or PhD and have a strong background in unstructured data processing. The company offers a flexible work model, comprehensive wellness benefits, and a commitment to employee wellbeing.

Leistungen

Access to digital fitness programs

Flexible work options

Paid time off of at least 25 days per year

100% paid parental leave

Qualifikationen

• Experience with libraries for web scraping, OCR, and NLP.
• Strong background in unstructured data processing.
• Familiarity with visual-language models is a plus.

Aufgaben

• Apply state-of-the-art tools to interpret diverse input types.
• Develop strategies for using LLMs to transform unstructured content.
• Clean, validate, and transform messy data into well-defined schemas.

Kenntnisse

Proficiency in Python

Deep understanding of LLM capabilities

Strong analytical problem-solving skills

Excellent communication and documentation skills

Ausbildung

Master's degree or PhD in Computer Science

Tools

Tesseract

HuggingFace Transformers

Jobbeschreibung

Overview

Sep 10, 2025 - Wellhub is hiring a remote Senior Data Scientist. Location: Portugal.

Your wellbeing matters. Join a company that cares.

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

• 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.

WHO YOU ARE

• 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., 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.

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.

WHAT WE OFFER YOU

We are a wellness company committed to the health and wellbeing of our employees. Our benefits include:

• WELLHUB: Access digital fitness programs, 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: Two work model options: flexible hybrid and full remote, with a home office stipend and a monthly flexible work allowance. The model for this role can be discussed with your recruiter and hiring manager.
• FLEXIBLE SCHEDULE: Flexibility to adjust working hours based on personal schedule, time zone, and business needs.
• PAID TIME OFF: Minimum of 25 days paid holiday per year with additional days for tenure (up to 5) plus holidays (including a birthday holiday).
• PARENTAL LEAVE: 100% paid parental leave to all new parents and extended maternity leave.
• CAREER GROWTH: Opportunities for personal and career growth and a dedication to employee development.
• CULTURE: An inclusive, global environment with a value-based culture of trust, flexibility, and integrity. More info on our careers page.

Follow us on social media for a glimpse of life at Wellhub: Instagram @lifeatwellhub and LinkedIn.

Diversity, Equity, and Belonging

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, disability, national origin, veteran status, or any other basis covered by applicable law.

Questions on how we treat your personal data? See our Job Applicant Privacy Notice.

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