DocMorris AG is a leading company in online pharmacy, marketplace, and professional healthcare, with strong brands in Germany and other European countries. Our vision is to create a digital health ecosystem for everyone to manage their health in one click. In Spain and France, we operate the leading marketplace for health and personal care products in Southern Europe. Our innovative business model integrates the catalogs of trusted off-line pharmacies, offering 24h delivery for over 200,000 products from more than 1,000 pharmacies and health stores. We have been recognized with awards such as Best Webshop in Spain and Best Mobile App from the E-Commerce Awards.
Role Description
We are seeking a Data Scientist to join our Data team. You will report to the Data Science Tech Lead and collaborate closely with business, marketing, and engineering teams in an Agile environment. The Data team is responsible for researching, developing, testing, maintaining, and deploying systems that extract maximum value from data to inform decisions, answer questions, and fuel data products, ultimately improving the experience for our customers, sellers, and internal stakeholders.
Tasks and Responsibilities
- Interface with stakeholders to understand and address their data needs, co-create new data products, and assist them in making data-driven decisions, including the use of generative AI.
- Create, evaluate, and improve a variety of data products such as smart/optimization/personalization algorithms, AI agents, LLM applications, recommender systems, and predictive models.
- Develop analytics, models, and algorithms from conception to production deployment, focusing on the end-user/stakeholder, accuracy, scalability, and an iterative approach.
- Maintain high standards and quality in analyses, code, and implementation.
- Support teammates through data science brainstorming, code reviews, and collaborative work, particularly during the Proof of Concept (POC)/Research & Development (R&D) phase.
What we are looking for:
- Minimum 2 years of experience as a Data Scientist, preferably in a customer-centric company within e-commerce, a transactional marketplace, or e-health.
- Degree in Computer Science, Data Science, Engineering, Statistics, or a related field.
- Experience in creating, evaluating, and improving Data Products using:
- Advanced Python: Proficiency with libraries such as pandas/polars, PyTorch, LangChain, etc., and experience deploying to production environments using Kubernetes or other cloud-native solutions.
- Advanced SQL: Experience with data warehouses like Snowflake, Redshift, BigQuery, or similar.
- Domain knowledge in areas such as Marketing, Business, Finance, Logistics, or Health.
- Background skills in ML/LLMOps, data analysis/visualization/pre-processing, statistics, A/B testing, quantitative and qualitative analysis, and cloud technologies.
- Previous Data Engineering and/or Data Analysis experience (a full-stack mindset) is a significant advantage.
Other Skills:
- Version control using GIT.
- Languages: Proficiency in Spanish and English; German is a plus.
- Experience with Agile methodologies.
Our Benefits
- Restaurant vouchers worth €11 per day worked.
- 25 days of holiday.
- A day off for your birthday plus a €50 voucher for our website!
- Health insurance with Sanitas, covered by PromoFarma (optional).
- Social benefits package: Option to allocate part of your gross salary to Ticket Transport or Nursery.
- Opportunity to participate in the employee participation program (stock options).
- 10% discount on all purchases on our website and up to 30% discount on DocMorris branded products.
- Access to e-learning platforms like LinkedIn Learning.
- Individual training opportunities and a budget for personal development.
- Access to the corporate wellness platform "Wellhub" (formerly Gympass) offering various discounts on gyms, studios, classes, workouts, and wellness apps.
- Access to mobile consultations with medical specialists, lawyers, or veterinarians via "Doctor i".
- Engaging employee events and annual company celebrations.