Data Scientist Engineer (M/F)

About the company

In 2025, Wivoo (the benchmark for Product Management & Data/AI) joined Wavestone to merge strategic power with operational excellence.

Passionate and solution-oriented experts who place people at the heart of performance and growth. We are strengthening our expertise to transform data assets into concrete value levers. We are constantly developing our client and project portfolio, with an international reach and a real desire to generate a positive impact.

Join Wivoo, a Wavestone company, and express your potential in a stimulating and collaborative environment.

Your tasks

Reporting to our Data & AI expertise department, you will act as a Product Data Scientist. Your task is to develop expertise in data-driven products with a strong business impact, within a community of experts.

You will have the opportunity to support our clients in building and improving Data / AI products and solutions, while ensuring the delivery of innovative solutions through close collaboration with technical, business, and data teams.

As a Product Data Scientist, you will be expected to play a key role in the following pillars:

Client Support & Delivery

• Sharing vision, co-constructing roadmaps, and prioritizing high business impact projects by instilling a data-driven culture.
• Managing the development, measurement, and optimization of data products via agile methodologies.
• Developing dashboards and key performance indicators (KPIs) to monitor product effectiveness.
• Communicating analyses and strategic recommendations to various stakeholders.

Internal Offer Development

• Active contribution to the development of the "Product Data AI" offer through technological monitoring.
• Participation in marketing events and pre-sales phases.

Training & Mentoring

• Mentoring more junior profiles depending on your experience.
• Participating in the creation and facilitation of training programs to upskill the community's future Product Data Scientists.

Requirements

Are you a true team player, driven by strong values? Are you curious and determined, with a desire to learn every day? Then you are in the right place.

More than just boxes to tick, we are looking for a hybrid profile between data science and product culture:

• You are a graduate of an engineering school with a specialization in data science, data analysis, statistics, or economics.
• You have significant experience (minimum 3 years) as a Data Scientist or Data Analyst (e.g., developing recommendation models, defining impact KPIs, assisting PMs in feature prioritization).
• You master AI tools and concepts: machine learning, data visualization, cloud computing (GCP, Azure, AWS), and specialized libraries (Scikit Learn, Tensorflow, Pytorch, etc.).
• You master one or more programming languages (Python, SQL) as well as visualization tools (Tableau, Power BI).
• You have a good knowledge of Agile and Product practices (Scrum, Safe, RICE, MoSCoW).
• You possess excellent popularization skills and great interpersonal skills to collaborate with diverse profiles.
• You are proficient in English, both spoken and written.

What we offer

By joining Wavestone, you will benefit from

• Career model: A clear vision of your career path thanks to our skills matrix and evolving responsibilities (Lead Data Product, Head of Data Product).
• Further training: A comprehensive training program (WiAcademy) based on internal mentoring to strengthen your Product Management skills.
• Smartworking: A flexible and mobile collaboration framework, with premises designed for conviviality in the heart of the 8th arrondissement.
• A Great Place To Work: A culture valuing fulfillment, with structured onboarding (NPS of 9.25/10) and regular follow-ups (client, sales, and HR feedback).
• Salary dynamics: A transparent and objective compensation policy (range for this position: 42k€ - 70k€ depending on experience).
• Recruitment process: A structured journey including an initial video call, a sales interview, a double technical test (Data Game 45min + Product Game 60min), and a meeting with the co-founders. Offer within 48h.