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Data Scientist - Intern

mirakllabs · Paris

<div class="content-intro"><p><strong>About Mirakl:</strong></p> <p>Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy.<br><br>Today, Mirakl’s operating system combines an enterprise marketplace solution (Mirakl Platform) that enables retailers and B2B organizations to launch, scale, and operate marketplaces and dropship, AI-powered multichannel selling (Mirakl Connect), retail media (Mirakl Ads) and an agentic commerce infrastructure (Mirakl Nexus).<br><br>With dual headquarters in Boston and Paris, Mirakl 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 Mirakl to grow their businesses in new and remarkable ways.</p> <p>For more information: <a href="http://www.mirakl.com">www.mirakl.com</a>.</p> <p><strong>Mirakl in Numbers:</strong></p> <ul> <li>🗓️ Founded in 2012 | Member of French Tech Next40</li> <li>👥 750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo</li> <li>🇫🇷 350+ Mirakl Tech teams members mainly based in France</li> <li>⚙️ 5 Saas Solutions</li> </ul> <p><strong>Our Values:</strong></p> <p>Working at Mirakl 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.</p> <p>Our 5 values guide how we collaborate:</p> <ul> <li>💡<strong> Work Hard Together:</strong> Teamwork and collaboration are the foundation of our success</li> <li>🏆 <strong>Get Things Done: </strong>&nbsp;We prioritize action and efficiency for impactful results</li> <li>🚀 <strong>Go Above &amp; Beyond:</strong>&nbsp; We tackle challenges proactively and always aim for excellence</li> <li>🎓 <strong>Succeed Through Expertise:</strong> Knowledge sharing and continuous learning are core to our culture</li> <li>🤝 <strong>Satisfy &amp; Empower Clients:</strong> We're committed to our clients' success</li> </ul></div><h2><strong>Data Science Intern - January 2027</strong></h2> <h3><strong>1. The Team You'll Join</strong></h3> <p>You'll be part of our Data Science team, a group of around 70 data professionals working at the heart of Mirakl'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.</p> <h3><strong>2. Your Impact</strong></h3> <ul> <li><strong>Analyze and prepare data</strong> to ensure quality and relevance for algorithm development, following best practices for exploration and transformation</li> <li><strong>Prototype and iterate on algorithms</strong>, testing and refining ideas with the support of your mentor and team</li> <li><strong>Collaborate with Data Engineers</strong> to bring your solutions from experimentation to real-world production deployment</li> <li><strong>Build dashboards</strong> to showcase the relevance of your work and monitor performance in production</li> <li><strong>Present your findings</strong> weekly with the team, contributing to brainstorming sessions and tech watch initiatives</li> </ul> <h3><strong>3. What You'll Bring to the Role</strong></h3> <p><strong>Experience:</strong></p> <ul> <li>Currently enrolled in the final year of a Master's (Bac+5) in Computer Science at an engineering school or university</li> <li>Familiarity with data preparation techniques and feature engineering</li> <li>Understanding of statistics, machine learning, and deep learning algorithms</li> <li>Interest in the industrialization and scaling of data science models beyond experimental work</li> </ul> <p><strong>Skills:</strong></p> <ul> <li>Cloud environment awareness (AWS, Google Cloud, or MS Azure)</li> <li>Strong communication and ability to work collaboratively in cross-functional teams</li> <li>Curiosity, autonomy, and a proactive approach to problem-solving</li> </ul> <h3><strong>4. Tech Stack</strong></h3> <p>Python &amp; 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&nbsp;</p> <h3><strong>5. Languages</strong></h3> <ul> <li>French – Fluent required</li> <li>English – Professional level required</li> </ul> <h3><strong>6. Compensation, Perks &amp; Benefits</strong></h3> <p><strong>Internship stipend:</strong> Based on your Master's status</p> <p><strong>Perks &amp; Benefits:</strong></p> <ul> <li>A workplace that supports well-being and balance: breakfasts, fitness and yoga classes, after-work events, game nights</li> <li>Mentoring from senior technical experts and regular feedback to support your growth</li> <li>Immersion in a collaborative, international team pa

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