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Altares- Fr

Data Scientist (M/F)

Altares- Fr · Puteaux, Ile-de-France, France

Information Services · 201-500 employees

19 h ago
Mid (2-5 yrs) Full-time France
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About the role

The Data Scientist will perform statistical and exploratory analyses while designing, developing, and deploying data science models. They will also collaborate with cross-functional teams including Data Engineering, Product, and Business units to translate complex data into actionable insights.

What they look for

Python R SQL Snowflake Data Science Statistical Analysis Exploratory Data Analysis Data Modeling Git Data Visualization Cloud Computing Communication Teamwork Problem Solving

Requirements

Candidates must hold a Master's degree in a scientific field such as Mathematics, Data, or Statistics with at least 3 years of professional experience. Proficiency in Python, R, and SQL is required, along with a C1 level of professional English.

Benefits

Hybrid work organization

Full description

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

To maintain its leadership in business intelligence, Altares is currently tackling four major challenges where Data Science plays a driving role:

 

  • 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

As a Data Scientist, you will contribute to the team’s data science initiatives, specifically:

 

  • 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.