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Data Scientist

Résumé du poste
Salaire : 55K à 65K €
Télétravail fréquent
Compétences & expertises
Contenu généré


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Le poste

Descriptif du poste

🌈 Diversity, Equity, Inclusion and Belonging

Research shows that while men apply to jobs where they meet an average of 60% of the criteria, women and other underrepresented groups tend to only apply when they meet 100% of the qualifications. At Beamy, we value respectful debate and people who aren't afraid to challenge assumptions, so we are looking for diverse perspectives as long as you meet 75% of the criteria.

All qualified applicants will receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws.

We are looking for our first Data Scientist to develop and enhance the data potential of Beamy.

Throwback to mid-2023, when Beamy was recruiting its Data team. The aim was to create a web extension to collect real-time data on SaaS usage in companies. Since then, we've been monitoring +35 customers every day, 200K users concerned and Millions of event reports streamed every day. We covered around 30K Saas.

We have the strong conviction that we have a golden asset in our hands, which is largely underestimated and under used. We have now the stack and the data volumes to pick up the pace for Data science.


Data Analysis and Insights Generation

Analyze large volumes of data to identify patterns, trends, and actionable insights that can drive strategic business or technical decisions.

Utilize statistical methods and more advanced data science techniques to uncover hidden opportunities and optimize current models.

Model Development and Implementation : set the socle for future AI development with a strong business/end-user perspective

Develop, test, and deploy advanced and/or predictive models and algorithms to enhance data-driven decision-making processes. Continuously monitor and refine models to ensure their accuracy and effectiveness in real-world applications. These models can be imagined for internal needs (operations, quality, …) or for clients directly (predictive insights on the platform such as predict the evolution of an application usage in the future)

Set the framework for installing AI at the core of our product as of 2025. For now, we only exploit basic gen AI capacities, which largely accelerated some PoCs and features. But we are convinced that our products will be AI-driven in the future.

Collaboration and Communication with internal teams

Work closely with cross-functional teams, including product development, sales, and operations, to understand their data needs and provide analytical support.

Communicate complex findings and recommendations in a clear, concise manner to both technical and non-technical stakeholders.

For further information, take a look at our technical page.


We are seeking Data Scientist with a strong product oriented mindset, who has already worked in a Product Data Team.

You are bilingual in French, or it’s your native language.

You have strong data exploration skills (SQL/Big Query, Python…)

You’re used to working with Python (Pandas, …) and ML frameworks (scikit-learn, pytorch, tensorflow, …)


55K€ to 65K€ + stock options 💰

A strong transparency culture (salaries and financial situation of the company shared internally, transparent career tracks...) coupled with an excellent and healthy atmosphere (no micromanagement, strong ownership...).

A key position in our organisation and the opportunity to be a fundamental player in Beamy's acceleration and international scale.

The best health mutual and lunch vouchers available (Alan & Swile) & RTT


30-minute introductory call with Leslye, Talent & HR Partner.

30-minute video discussion with Lucas, Head of Data & AI.

An homework test to showcase your skills.

A Culture Fit Interview with Leslye to ensure our values align.

An on-site visit over lunch to meet the team & founders.

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