Senior Data Scientist (Europe-based, remote)

Sherpany AG; Paris; Hybride; EUR 60 000 - 80 000; Plein temps

Résumé du poste

A leading tech company in Paris is seeking an experienced data scientist to build data workflows, apply machine learning models, and support data-driven decision-making. Ideal candidates will have over 4 years of experience in data science, advanced SQL and Python skills, and excellent communication abilities. The role offers flexibility, professional development support, and a collaborative team culture.

Prestations

Flexible working hours

Remote working options

Financial support for education

Well-being support

Qualifications

• 4+ years of experience in building data science projects and production-grade analytics/ML workflows.
• Outstanding modeling expertise and ability to explain models and results.
• Experience analyzing business and usage data of software products.

Responsabilités

• Build and own end-to-end model-driven data workflows.
• Apply advanced statistical or ML models.
• Guide stakeholders towards data-driven decisions.

Connaissances

Experience in building data science projects

Modeling expertise

Analysis of business and usage data

Interpersonal and communication skills in English

Advanced SQL skills

Python or R skills

Outils

SQL

Python

R

Airbyte

dbt

Databricks

Tableau

Description du poste

Sherpany is the leading solution for managing board and executive meetings. We support 20,000+ global leaders and executives in streamlining and optimising the entire meeting lifecycle—from preparation and collaboration to follow-up—and deliver AI-powered insights to turn focussed discussions into powerful outcomes.

Since 2024 Sherpany has been part of the Datasite Group, the global leaders in secure transaction technology. Together we’re making high-impact decision making the standard for businesses across the globe.

Your area of responsibility:

• Build and own end-to-end model-driven data workflows: Proactively identify opportunities where quantitative insights can support business growth, and autonomously turn them into concrete data modeling and engineering tasks
• Apply advanced statistical or ML models with rigor and clarity, explain them in simple terms, and translate results into actionable recommendations
• Partner with stakeholders to refine their questions, guide them towards data-driven decisions, and capitalize on hidden opportunities through analytics
• Support and extend our data platform (Airbyte, dbt, Databricks) to ensure reliable pipelines, robust KPIs, and strong self-service foundations
• Communicate results with visualizations that highlight what truly matters and inspire action

What sets you apart:

• 4+ years of experience in building data science projects and production-grade analytics/ML workflows
• Outstanding modeling expertise – you know when and how to use the right statistical or ML method, able to explain models and results with ease at different levels of complexity
• Experience analyzing business and usage data of software products is a must; SaaS, A/B testing and PLG are a plus
• Solid background in data or analytics engineering
• Advanced skills in SQL and Python or R; dbt and Tableau are a plus
• You have great interpersonal and communication skills in English

Do you think you have what it takes, even if you don't fulfill 100% of the job description? Get in touch with us anyway! We hire for potential and attitude!

Why you should choose SHERPANY:

• You will be joining this amazing team
• At Sherpany, you’ll be part of an international company with a flat hierarchy, meaning your voice is heard, and you can take on real responsibility from day one! Your ideas? Always welcome.
• Your freedom and flexibility is important to us - we offer flexible working hours and remote-working
• Your personal and professional development is important to us, which is why we offer financial support for further education, training, etc.
• Your personal well-being is important to us - our partner nilo.health supports you in this.
• Last but not least: Our corporate culture means a lot to us, which is why we regularly organize great team events and cultivate a value-oriented cooperation.

Recruiting process:

• Interview with our Talent Acquisition Specialist
• Meet our Head of Analytics
• Get to know the team and show us your skills
• Job offer

Are you ready for the challenge? We look forward to receiving your application!