Senior Data Scientist | Ecommerce - Paris (Hybrid)

Global Enterprise Partners; Paris; On-site; EUR 50,000 - 75,000; Full time

Job summary

Global Enterprise Partners is seeking a Senior Data Scientist to join their Digital Analytics team in Paris. This role offers the chance to work with advanced data science and machine learning to enhance customer experiences. Responsibilities include developing and deploying machine learning models, optimizing use cases, and collaborating with cross-functional teams. Ideal candidates will have proven experience in delivering data science solutions within a product environment, along with strong Python and SQL skills. Competitive salary and transformative projects are offered.

Qualifications

• Proven experience delivering end-to-end data science solutions in a product environment.
• Strong expertise in Python, SQL, and large-scale data processing.
• Solid understanding of machine learning, statistical modelling, and experimentation.

Responsibilities

• Develop and deploy machine learning models to solve complex ecommerce and customer experience challenges.
• Own end-to-end data science use cases, from problem definition through to deployment and optimisation.
• Design and analyse A/B tests and experiments to support continuous product improvement.

Skills

Python

SQL

Machine learning

Statistical modeling

Experimentation

Data processing (Spark/PySpark)

Tools

Databricks

TensorFlow/PyTorch

MLflow

Amplitude

Tableau

Job description

Senior Data Scientist | Ecommerce & Digital Analytics

We're partnering with a leading digital-driven organization to hire a Senior Data Scientist to join a high-impact Digital Analytics team. This is a fantastic opportunity to work at the intersection of data science, product, and customer experience, shaping how data drives smarter decisions and better digital journeys.

The Opportunity

In this role, you'll go beyond traditional analytics - leveraging advanced data science, experimentation, and machine learning to influence product development and customer behavior at scale. You'll work closely with cross-functional teams to build data-driven features, enhance personalization, and deliver measurable business impact.

What You'll Be Doing

• Develop and deploy machine learning models to solve complex ecommerce and customer experience challenges
• Own end-to-end data science use cases, from problem definition through to deployment and optimisation
• Apply predictive and prescriptive analytics to uncover actionable insights
• Design and analyse A/B tests and experiments to support continuous product improvement
• Collaborate with product, engineering, and analytics teams to deliver scalable solutions in production

What We're Looking For

• Proven experience delivering end-to-end data science solutions in a product environment
• Strong expertise in Python, SQL, and large-scale data processing (e.g. Spark/PySpark)
• Solid understanding of machine learning, statistical modelling, and experimentation
• Experience working on customer-focused use cases such as personalization, conversion optimisation, or engagement
• Ability to translate complex data into clear business insights and impact

Tech Stack (Example)

Python, SQL, Spark/PySpark, Databricks, TensorFlow/PyTorch, MLflow, Amplitude, Tableau

Apply directly or send your CV to g.machia(at)globalenterprisepartners.com