Data Scientist - Remote Opportunities with Relocation Support
About the Role
We are seeking a talented Data Scientist to join our team at Wallapop. This Data Scientist remote position offers an exciting opportunity to work on innovative projects that empower people to embrace a more conscious and human way of consumption. As a part of our growing team, you will leverage your expertise to improve marketplace dynamics through end-to-end machine learning solutions.
What You'll Do
- Collect, clean, and analyze large datasets from diverse sources, including user behavior, transactions, and market trends.
- Develop and implement machine learning models to solve business problems, such as personalized recommendations, fraud detection, and pricing optimization.
- Work with multidisciplinary Product teams to identify opportunities and gather requirements (both in terms of product and tech).
- Own initiatives from start to deployment: ideation, data processing (ETL), modeling, testing, deployment, monitoring, and iteration (with help from Engineering partners).
- Proactively suggest, research, and prototype new ideas for data and ML solutions.
- Communicate complex data insights to both technical and non-technical audiences, including stakeholders involved in marketplace operations.
Requirements
- A degree in a quantitative field (Engineering, Math, Stats, Physics) or equivalent practical experience in data science.
- Proficiency in Python and the ability to write clean, maintainable code for ML applications.
- A proven track record of building and deploying data products that solve business challenges in a production environment.
- Advanced SQL skills and experience handling large datasets (knowledge of libraries like Pandas or Scikit-learn is highly valued).
- Solid understanding of Machine Learning fundamentals, specifically as they apply to personalization or recommender systems.
- Experience working with Search, recommendations & Ranking models in production environments.
Nice to Have
- Experience working within an eCommerce or Marketplace platform, or in a product-tech company.
- Experience working within the AWS cloud (Redshift, S3, Lambda), and with cloud MLaaS solutions such as Amazon SageMaker.
What We Offer
- Generous individual learning budget of 2k per year.
- Group and individual English, Catalan & Spanish lessons as part of our working day.
- Private Health Insurance with Alan.
- Flexible working hours + intensive Fridays.
- Relocation package (monetary support and legal advice) and visa sponsorship, if applicable.
- 26 holidays per year.
- TOP hardware of your choice (latest Apple or Windows).
This Data Scientist role at Wallapop offers a unique opportunity to work remotely while contributing to impactful projects in the eCommerce space. With generous benefits and relocation support, it's an attractive position for data professionals.
About Wallapop
Explore Wallapop careers in 2026 and discover exciting job opportunities across remote, hybrid, and office roles. Utilize our advanced filters to tailor your search, track your applications seamlessly, and gain valuable company insights. Whether you’re seeking a tech, marketing, or operations role, let us help you find the perfect fit at Wallapop, where innovation meets career growth.
Who Will Succeed Here
Proficient in Python and familiar with libraries such as Pandas and scikit-learn, enabling effective data manipulation and machine learning model development.
Adaptable to remote and hybrid work environments, demonstrating self-motivation and excellent time management skills to balance project deadlines and collaboration.
Experience with ETL processes and SQL for data extraction and transformation, showcasing a strong analytical mindset and the ability to derive actionable insights from complex datasets.
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