Data Scientist, hibrido

JR Spain; Barcelona; Híbrido; EUR 40.000 - 80.000; Jornada completa

Descripción de la vacante

Una empresa innovadora busca un Data Scientist para unirse a su equipo en Barcelona. En esta emocionante posición, serás responsable de desarrollar modelos de Machine Learning que mejoren la experiencia del usuario en una plataforma de comercio de segunda mano. Trabajarás en un entorno colaborativo, realizando análisis de datos y proponiendo soluciones creativas. Con la oportunidad de contribuir a proyectos de investigación internos y explorar nuevas tecnologías, esta posición ofrece un camino claro para el crecimiento profesional. Si tienes pasión por los datos y deseas marcar la diferencia en una economía colaborativa, esta es la oportunidad ideal para ti.

Servicios

Paquete competitivo de acciones fantasma

Presupuesto de aprendizaje individual de 2k al año

Clases de idiomas (inglés, catalán, español)

Seguro de salud privado

Horarios flexibles

Plan de bienestar en el gimnasio

Programa de referidos generoso

Donación a organizaciones benéficas

Bonificación por bodas y recién nacidos

26 días de vacaciones al año

Formación

• Experiencia en desarrollo de modelos de Machine Learning y análisis de datos.
• Habilidades de programación en Python y SQL para la creación de productos de datos.

Responsabilidades

• Recopilar y analizar grandes conjuntos de datos para mejorar la dinámica del mercado.
• Desarrollar e implementar modelos de Machine Learning para resolver problemas comerciales.

Conocimientos

Python

Machine Learning

Data Analysis

SQL

Communication Skills

Educación

Bachelor or MSc degree in engineering, mathematics, statistics, physics

Herramientas

Pandas

Numpy

Scikit-learn

TensorFlow

Keras

PyTorch

Airflow

DBT

Descripción del empleo

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Data Scientist

Wallapop is a Barcelona-based scale-up driven by the purpose of empowering people to embrace a more conscious and human way of consumption. We believe in a world where a collaborative economy is mainstream. This is what drives us. Wallapop operates in Spain, Italy, and Portugal, offering a catalog of several hundreds of millions of products and services. Powered by technical innovation and continuous improvement, we bring together the scale trust of classifieds with the marketplace's convenience reach. Our mission is to enable a connected trade ecosystem, making 2nd-hand the norm through smart use of technology. Backed by top investors such as Accel, Insight Partners, and Naver Corp, we bring our total valuation to 690 million EUR and are embarking on our international journey with the aim to become the world's best unique goods trading platform.

The Challenge

The Wallapop platform generates tons of data and, with a mature data infrastructure already in place, the area of Data Science and Machine Learning is gaining momentum. The team is experiencing significant growth and, with many initiatives down the road, the opportunities are endless.

As a Data Scientist at Wallapop, you will be working on the Data Science and Machine Learning initiatives aimed at improving the whole marketplace dynamics. This will include topics such as improving models that power users' main interaction point: Search. You will also look into various models that will help users discover new items through ranked Recommendations, Similar Items, and more.

You will work closely with other Data Scientists, Product Managers, Engineers, UX Researchers, and Analysts to understand the product requirements and explore possible data and ML solutions. You will own the whole product lifecycle, from gathering the data needed to prototyping, building, evaluating, and iterating end-to-end solutions, all within Wallapop's Data and ML Platforms.

Additionally, you will have the opportunity to work on internal research projects, exploring new technologies and building PoCs that could ultimately become data products or insights, and be valuable for Wallapop. You will be part of a growing Data Science team within the Data Analytics department (30+).

What You Will Do

1. Collect, clean, and analyze large datasets from diverse sources, including user behavior, transactions, and market trends.
2. Develop and implement machine learning models to solve business problems, such as personalized recommendations, fraud detection, and pricing optimization.
3. Work with multidisciplinary Product teams to identify opportunities and gather requirements (both in terms of product and tech).
4. Own initiatives from start to deployment: ideation, data processing (ETL), modeling, testing, deployment, monitoring, and iteration (w/ help from Engineering partners).
5. Proactively suggest, research and prototype new ideas for data and ML solutions.
6. Communicate complex data insights to both technical and non-technical audiences, including stakeholders involved in marketplace operations.

What We're Looking For

1. Bachelor or MSc degree in engineering, mathematics, statistics, physics, or another quantitative field.
2. Strong coding skills (Python is a must, but other languages are also valued), capable of building robust data and ML software.
3. Experience building complex data products and ML solutions to real-life problems in a production-oriented environment, identifying the right techniques to solve the problem at hand.
4. Experience with common libraries and frameworks such as Pandas, Numpy, Scikit-learn, TensorFlow, Keras, PyTorch.
5. Advanced in SQL, capable of getting the data required from the appropriate sources, and building and maintaining data pipelines if needed (experience in tools such as Airflow or DBT would be a plus).
6. Excellent communication and presentation skills, with the ability to explain data insights to business stakeholders in the context of marketplace dynamics.

What Would Be A Plus

1. Experience working with Search Ranking models in production environments.
2. Experience working within an eCommerce or Marketplace platform, or in a product-tech company.
3. Experience working within the Logistics, Trust Safety or Customer Service domains.
4. Experience working within the AWS cloud (Redshift, S3, Lambda), and with cloud MLaaS solutions such as Amazon SageMaker (preferably), but also Google Vertex AI, Microsoft Azure ML, and other MLOps tools (MLFlow, Flyte, Feast, Kubeflow, etc).

Do note that all our jobs are Barcelona based. We follow a hybrid model where flexibility rules. We commit to a minimum of 6 days per month in the office. Each team self-organizes to decide on cadence and in-person/remote rituals.

Wallapop is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees as we want Wallapop to be a place for everyone. We sponsor visa processes for international candidates when applicable and provide legal admin support along the process combined with a competitive relocation package.

Additionally, to the opportunity to contribute to an agile product setup and work together towards achieving our meaningful mission, we offer the following Perks & Benefits:

1. Competitive phantom shares package for all employees.
2. Generous individual learning budget of 2k per year.
3. Group and individual English, Catalan, and Spanish lessons as part of our working day.
4. Private Health Insurance with Alan.
5. Flexible working hours + intensive Fridays.
6. Flexible remuneration to deduct from gross salary (kindergarten/food/transport check).
7. Gym Wellness plan, including physiotherapist in the office.
8. Generous referral Program Charity Donation.
9. Bonus for weddings and newborns.
10. Wallapop Renta (Tax income support).
11. Monthly plan for free shipping, bumps home-pick-up on our services.
12. Work anniversary Gifts and Birthday Surprises.
13. Contribution towards your WIFI in your monthly payroll.
14. One-off payment based on compensation package to go towards setting up your home office.
15. Relocation package (monetary support and legal advice) and visa sponsorship, if applicable.
16. 26 holidays per year.
17. TOP hardware of your choice (latest Apple or Windows).

What does the hiring process for this position look like?

Please, note that all interviews take place remotely over hangouts.

1. Intro Call - run by talent acquisition, focus on providing more information about the role and the company as well as going over your experience, motivation, and expectations. This usually takes 45-60 minutes.
2. Task - you will be assigned a task to submit within 5 up to 7 days where you will be able to showcase your expertise and technical skills required for the role.
3. Expertise Interview - run by the hiring team, focus on the required core skills and the ability to deliver in a given context. This usually takes 60-90 minutes.
4. Stakeholder Interview - run by relevant stakeholders reflecting the reality of the context of the role, focus on the ability to collaborate and deliver in a cross-functional setup. This usually takes 60 minutes.
5. Culture-Add Interview - run by culture interviewers, focus on adherence to Wallapop's purpose and business proposition. This usually takes 60 minutes.
6. Offer - should you be the right candidate, your offer will be discussed over a call with talent acquisition and will then be confirmed in writing.