Data Scientist

Wallapop; Barcelona; Híbrido; EUR 40.000 - 70.000; Jornada completa

Descripción de la vacante

Wallapop is looking for a Data Scientist to enhance their Machine Learning initiatives aimed at improving marketplace dynamics. This role involves collaborating with various teams on issues like logistics optimization, fraud detection, and customer service experience. The position offers the chance to work on internal projects and new technologies while being part of a growing team. Competitive benefits and flexibility in work arrangements highlight Wallapop's commitment to employee satisfaction.

Servicios

Competitive phantom shares package

Generous individual learning budget of 2k per year

Group and individual English & Spanish lessons

Private Health Insurance with Cigna

Flexible working hours & short Fridays

Gym & Wellness plan

26 holidays per year

TOP hardware of your choice

Formación

• Strong coding skills in Python, capable of building data and ML solutions.
• Experience building data products and ML solutions in a production environment.
• Good understanding of the entire ML development lifecycle.

Responsabilidades

• Take ownership of Data Science and ML initiatives.
• Work with multidisciplinary teams to gather requirements.
• Build and monitor scalable data and ML solutions.

Conocimientos

Python

Machine Learning

Data Analysis

SQL

Data Engineering

Statistical Analysis

Communication

Educación

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

Herramientas

Pandas

NumPy

Scikit-learn

TensorFlow

Keras

PyTorch

Airflow

Descripción del empleo

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 in the Wallapop Managed Marketplace Tribe, 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 optimizing our Shipping and Logistics operations, fighting against fraud and contributing to the Trust & Safety of our platform, and improving the Customer Service user experience.

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 Machine Learning team (7) within the Data & Analytics department (30+).

What You Will Do

• Take responsibility for the Data Science and ML initiatives within the Managed Marketplace Tribe
• Work with multidisciplinary Product teams to identify opportunities and gather requirements (both in terms of product and tech).
• Work with Data Scientists, ML Engineers and Software Engineers to explore and build the best performance and scalable solutions.
• Take ownership of the complete Data Science and Machine Learning workflow : ideation, data processing (ETL), modeling, testing, deployment, monitoring and iteration.
• Proactively suggest, research and prototype new ideas for data and ML solutions.

What We’re Looking For

• Bachelor or MsC degree in engineering, mathematics, statistics, physics, or another quantitative field.
• Good understanding of ML concepts and techniques, and the whole ML development lifecycle.
• 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.
• Strong coding skills (Python is a must, but other languages are also valued), capable of building robust data and ML software.
• Experience with common libraries and frameworks such as Pandas, Numpy, Scikit-learn, TensorFlow, Keras, PyTorch.
• 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).
• Analytical and rigorous mindset, but also innovative and proactive, with autonomy and a team-player attitude.
• Fluent communication skills in English (both written and spoken), capable of explaining complex concepts to peers and stakeholders.

What Would Be A Plus

• Experience working within the Logistics, Trust & Safety or Customer Service domains.
• 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 (preferably), but also Google Vertex AI, Microsoft Azure ML, and other MLOps tools (MLFlow, Flyte, Feast, Kubeflow, etc).
• Familiarity with MLOps philosophy.
• Experience with GenAI tools (AWS Bedrock) and use cases (chatbot, RAG, etc).
• Experience working with Big Data technologies (Spark)
• Experience with data visualization tools (Looker, Amplitude, Tableau, or others)..

Do note that all our jobs are Barcelona based. We work in a mostly remote capacity offering great flexibility to our employees, but we believe in the power of getting together regularly in our office. As a first iteration, we expect a 4+ day / month office attendance for which the specifics are decided on a team level.

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 set up and work together towards achieving our meaningful mission, we offer the following Perks & Benefits :

• Competitive phantom shares package for all employees
• Generous individual learning budget of 2k per year
• Group and individual English & Spanish lessons as part of our working day
• Private Health Insurance with Cigna
• Flexible working hours + short Fridays
• Flexible remuneration to deduct from gross salary (kindergarten / food / transport check)
• Gym & Wellness plan, including physiotherapist in the office
• Generous referral Program & Charity Donation
• Bonus for weddings & newborns
• Monthly plan for free shipping, bumps & home-pick-up on our services
• Workiversary Gifts and Birthday Surprises
• Contribution towards your WIFI in your monthly payroll
• One-off payment based on compensation package to go towards setting up your home office
• 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)

What does the hiring process for this position look like?

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

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.

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.

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.

Stakeholder Interview - run by relevant stakeholders reflecting the reality of the context of the role, focus on the ability to collaborate & deliver in a cross-functional set-up. This usually takes 60 minutes.

Culture-Add Interview - run by culture interviewers, focus on adherence to Wallapop's purpose and business proposition. This usually takes 60 minutes.

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.