ФранцияData Scientist - Intern
1 нед. назад
ФранцияTrainee
pythonmachine learningdata analysis
Internship role in Data Science at involving data analysis and machine learning.
О компании
- Founded in 2012, has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy. Today, ’s operating system combines an enterprise marketplace solution ( Platform) that enables retailers and B2B organizations to launch, scale, and operate marketplaces and dropship, AI-powered multichannel selling ( Connect), retail media ( Ads) and an agentic commerce infrastructure ( Nexus). With dual headquarters in Boston and Paris, helps a global ecosystem of 450+ marketplaces (B2C and B2B) and a network of over 100k third-party marketplace sellers. Brands like Macy’s, Decathlon, Carrefour, Asos, and Airbus Helicopters use to grow their businesses in new and remarkable ways.
- For more information:.
- Working at means accelerating your career alongside ambitious, passionate, and supportive colleagues. We're proud of the diversity of backgrounds, perspectives, and experiences that make our teams unique.
- Our 5 values guide how we collaborate:
- 💡 Work Hard Together: Teamwork and collaboration are the foundation of our success
- 🏆 Get Things Done: We prioritize action and efficiency for impactful results
- 🚀 Go Above & Beyond: We tackle challenges proactively and always aim for excellence
- 🎓 Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture
- 🤝 Satisfy & Empower Clients: We're committed to our clients' success
Обязанности
- Analyze and prepare data to ensure quality and relevance for algorithm development, following best practices for exploration and transformation
- Prototype and iterate on algorithms , testing and refining ideas with the support of your mentor and team
- Collaborate with Data Engineers to bring your solutions from experimentation to real-world production deployment
- Build dashboards to showcase the relevance of your work and monitor performance in production
- Present your findings weekly with the team, contributing to brainstorming sessions and tech watch initiatives
Требования
- Currently enrolled in the final year of a Master's (Bac+5) in Computer Science at an engineering school or university
- Familiarity with data preparation techniques and feature engineering
- Understanding of statistics, machine learning, and deep learning algorithms
- Interest in the industrialization and scaling of data science models beyond experimental work
- French – Fluent required
- English – Professional level required
Условия
- Internship stipend: Based on your Master's status
- A workplace that supports well-being and balance: breakfasts, fitness and yoga classes, after-work events, game nights
- Mentoring from senior technical experts and regular feedback to support your growth
- Immersion in a collaborative, international team passionate about sharing knowledge
- 2 remote work days per month
- Access to Works Council discounts (tickets, etc.)
- Gymlib pass for your well-being
- Modern offices in the heart of Paris (near the Eiffel Tower)
- Swile meal vouchers
- Transportation covered (50% Navigo, bike, etc.)
Как откликнуться
- We warmly encourage you to apply to any of our roles, even if you think you're not an exact match.
- Please click the "Apply" button to submit your application — this helps us make the best possible assessment and get back to you as quickly as possible.
- Manual screening of your CV by a recruiter, followed by an AI-powered screening conversation (10 min) with Emma, 's AI Talent Ambassador, to explore your background and motivation for the role. You will need to complete this step within 3 days , otherwise we won't be able to move forward with your application.
- Interview with your future manager — Pierre Lourdelet , Data Scientist
- Interview with a future colleague, using structured STAR-method interviews to ensure transparency and fairness.
- Welcome to ! 🎉
- This is an internship position based in Paris, with up to two days of remote work permitted per month.
- We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you’re ready to join a global leader powering digital transformation for 450+ of the world’s most innovative retailers and B2B organizations.
- As part of our recruitment process, processes your personal data to review and manage your application and, where appropriate, to consider your profile for future opportunities. You can exercise your data protection rights at any time, and as further detailed in our policies. For more information about how we process your personal data and your rights, please consult our Recruitment Privacy Notice, here in English and here in French.
- We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews .
Другое
- 🗓️ Founded in 2012 | Member of French Tech Next40
- 👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo
- 🇫🇷 350+ Tech teams members mainly based in France
- ⚙️ 5 Saas Solutions
- You'll be part of our Data Science team, a group of around 70 data professionals working at the heart of 's platform. Together, you'll be making the most of rich and diverse marketplace data to grow customer revenue, optimize operations, and ensure the safety of users and transactions.
- Cloud environment awareness (AWS, Google Cloud, or MS Azure)
- Strong communication and ability to work collaboratively in cross-functional teams
- Curiosity, autonomy, and a proactive approach to problem-solving
- Python & its data science ecosystem (pandas,sklearn), SQL for data querying and manipulation, TensorFlow, Keras, PyTorch, Databricks, Spark, AWS (Amazon Redshift, S3), Airflow, Delta Lake, streamlit, pydantic