Data Scientist - AI Marketplace Platform, Bordeaux

Data Scientist - AI Marketplace Platform About Mirakl

Mirakl is the leading provider of eCommerce software solutions. Mirakl's suite of solutions provides enterprises with a transformative way to drive significant growth and efficiency in their online business. Since 2012, Mirakl has been pioneering the platform economy, empowering retail and B2B enterprises with the most advanced, secure and scalable technology to digitize and expand product assortment through marketplace and dropship, improve efficiency in supplier catalog management and payments, personalize shopping experiences, and boost profits through retail media.

Mirakl is trusted by 400+ industry-leading businesses worldwide including Macy’s, Decathlon, Best Buy, Airbus, Toyota Material Handling and Sonepar.

Headquartered in Paris with another office in Bordeaux and with offices in 7 countries, Mirakl is recognized as a Great Place to Work company.

With more than 350 people, Mirakl Labs teams are mainly based in France. They work together on a daily basis to develop our roadmap for our 5 SaaS solutions.

They also address the issues faced by our customers and users, responding to various challenges related to new features, scalability, security, and usability.

About the job As part of our Data Science team (50+ people), your main mission will be to prototype, iterate, and put algorithms into production in collaboration with the Product teams, Data Engineers, and Development teams.

The topics you will be working on will have a real impact on 450+ of the world's largest retailers (Best Buy, Decathlon, Leroy Merlin, Macy's, etc.) and 100k+ sellers. The goal is to make the most of our rich and varied data in order to increase their revenue, optimize the operational management of their businesses, and ensure the security of users and transactions.

We are looking for someone on a permanent contract, based in Paris, Bordeaux, or working fully remotely (from France).

Here are some of the current and future topics the team is working on:

Detecting anomalies in product prices

Analyzing sentiment in seller/consumer exchanges to prioritize critical messages

Predicting and anticipating stock shortages

Detecting anomalies in seller behavior

Developing AI agents to help sellers take action on their businesses

This job offers you:

Implementing algorithms that will have a visible impact on more than 500 e-commerce sites/marketplaces in 40 countries, some of which are very large (millions of products, customers, orders per year)

A wide variety of techniques (time series, heuristics, deep learning, NLP, LLM, etc.)

Real autonomy and responsibility in the projects you own

Our stack and tools: Python, Tensorflow, Keras, Pytorch, Databricks, Spark, AWS (Amazon Redshift, s3, etc.), SQL, Airflow, Delta Lake

On a daily basis, you will:

Analyze and prepare data, prototype algorithms

Put them into production in collaboration with Data Engineers and development teams

Create dashboards to illustrate the relevance of algorithms and monitor production

Present results at weekly data science meetings and participate in team brainstorming sessions

Liaise with other teams to refine use cases, user experience, and integration methods

You will enjoy this job if:

You have a background in machine learning, mathematics, computer science (or a related field)

You already have 3 years of experience in a similar position

You have significant experience in applied ML in a business setting

You have a good knowledge of machine learning and deep learning algorithms (particularly state-of-the-art architectures, such as Transformers)

You are proficient in Python, Tensorflow, and/or PyTorch.

You are pragmatic, data-driven, and business-oriented with good team spirit.

You like to take ownership of your projects and are curious.

You have a positive attitude: respect and kindness are part of your values.

Want to join us?⭐

A 30-minute phone call with one of our Tech recruiters. This will be an opportunity to discuss your background and expectations, and to find out what Mirakl can offer you in return.

An initial 30-minute technical discussion via Zoom with a member of the Data Science team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.

A practical case study to complete at home.

A 75-minute technical review and discussion with a manager from the Data Science team.

A final 1-hour Zoom meeting with future Mirakl colleagues to discuss our values and corporate culture.

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, we strongly encourage you to apply to any of our roles, even if you think you’re not an exact match. 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 .

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