Data Scientist (M/F)

Altares - Dun and Bradstreet; Puteaux; Hybride; EUR 60 000 - 90 000; Plein temps

Avantages offerts par ce poste

Hybrid work environment

International context

Competitive compensation

Résumé du poste

Altares is recruiting a Data Scientist to join an international data team. You will perform statistical analyses on structured data, design models, and contribute to model deployment and monitoring within a collaborative environment.

The role requires 3+ years in Data Science, proficiency in Python and R, and strong communication with non-technical stakeholders. A hybrid work setup is offered in an international context.

Qualifications

• Master’s degree (Bac+5) in Mathematics, Data or Statistics applied to business challenges.
• Minimum 3 years of Data Science experience.
• Proficiency in Python and R.
• Snowflake experience highly appreciated.
• Professional English – C1 level.
• Ability to work in a team and communicate with non-technical stakeholders.

Responsabilités

• Perform statistical and exploratory analyses on structured data.
• Design, develop, and evolve data science models.
• Contribute to production deployment and monitoring of models for reliability and documentation.
• Collaborate closely with Data Engineering, Product, and Business teams.
• Present findings clearly in English.

Connaissances

Python

R

SQL

English (C1)

Formation

Master’s degree (Bac+5) in a scientific field

Outils

Snowflake

Git

Notebooks

Data Visualization tools

Description du poste

About Altares

As a leader in business information, Altares collects, structures, analyzes, and enhances B2B data to make it actionable, enabling its clients to make informed decisions. The group deploys its expertise across the entire data value chain, particularly in the fields of Risk, Compliance, Marketing, and Database Management.

About Altares

As a leader in business information, Altares collects, structures, analyzes, and enhances B2B data to make it actionable, enabling its clients to make informed decisions. The group deploys its expertise across the entire data value chain, particularly in the fields of Risk, Compliance, Marketing, and Database Management. Operating in France, Benelux, and North Africa, Altares is the exclusive partner of Dun & Bradstreet, the global reference in business intelligence for nearly 200 years. This collaboration allows Altares to provide access to a database of over 550 million companies across more than 190 countries. The group employs over 420 people in Europe. Our core values are Trust, Commitment, Ambition, and Innovation.

Context

Within a structured and continuously evolving data environment, we are strengthening our team by recruiting a Data Scientist. You will work on various analytical use cases within an established data team in an international context.

Strategic Challenges

• Excellence of the Data Asset: With a global registry of 550 million companies, our primary challenge is the quality, reliability, and consistency of our data. It is the essential foundation of trust upon which all our clients' decisions are built.
• Efficiency and Industrialization: In a logic of continuous evolution, we optimize our data processing to make it more efficient, robust, and automated.
• Product & Business Convergence: Strengthening the link between technical expertise and business applications. The goal is to design Data products that accurately meet market needs and integrate seamlessly into our clients' daily operations.
• Value Creation through Use Cases: Identifying and addressing high-value-added customers use cases. The challenge is to translate statistical complexity into concrete growth levers for finance and marketing departments.

Key Responsibilities

• Performing statistical and exploratory analyses on structured data.
• Designing, developing, and evolving data science models.
• Contributing to the production deployment and monitoring of your models to ensure industrial performance, reliability, and thorough documentation of processes.
• Collaborating closely with Data Engineering, Product, and Business teams.
• Presenting your findings in a clear and structured manner, including in English.

Technical Environment

• Languages: Python and R
• Data: SQL, Notebooks, Snowflake
• Tools: Git, Data Visualization tools
• Infrastructure: Cloud environment and industrial best practices

Candidate Profile

• Master’s degree (Bac+5) in a scientific field, specializing in Mathematics, Data, or Statistics applied to scientific or business challenges.
• Proven experience in Data Science (at least 3 years).
• Proficiency in Python and R.
• Practical experience in a Snowflake environment is highly appreciated.
• Professional English – C1 level.
• Ability to work in a team and communicate effectively with non-technical stakeholders.
• Rigor, autonomy, and a strong sense of responsibility.

What We Offer

• A position within an established and collaborative data team.
• Concrete data projects in a structured environment.
• A hybrid work organization.
• An international context.