Data Scientist - Tours

Project overview

As part of strengthening its Data & Analytics activities, the company is looking for a Senior Data Scientist / Data Analyst to support business teams, particularly sales and marketing, in exploiting and valorizing data.

The mission is part of a business continuity context, following the departure of the current Data Analyst / Data Scientist expert, scheduled for February 2027.

The consultant will act as a true Data partner for the business units. They will be responsible for conducting advanced statistical studies, developing predictive models, and producing analyses to improve customer knowledge and support decision-making.

Responsibilities

Main Deliverables Expected:

Profile Sought

We are looking for a confirmed Senior Data Scientist / Data Analyst with solid experience in statistical analysis, predictive modeling, and data exploitation, ideally in environments with a strong business dimension.

The candidate must be able to work on the entire Data cycle, from understanding business needs to model design, exploitation, and result reporting.

Essential Technical Skills:

Functional Skills and Qualities Expected:

Work Environment

The consultant will join the Analytics and Business Insights Domain, within the Data & Analytics department.

They will work in an environment focused on Data Science, advanced statistics, and data valorization, in close interaction with business teams, particularly sales and marketing.

Technical Environment:

The consultant will need to work closely with business teams to transform data into actionable analyses and concrete recommendations to support strategic and operational decisions.

• Business Scoping and Support: Gather, analyze, and rephrase the needs of sales and marketing teams to translate them into concrete Data problems. Provide consulting by identifying new trends, analysis avenues, and improvement opportunities.
• Data Exploration and Preparation: Explore, qualify, clean, and structure large volumes of data from various sources.
• Data Development and Industrialization: Build, optimize, and maintain processing workflows within the Dataiku DSS platform.
• Statistical Analyses: Perform exploratory and confirmatory analyses, apply appropriate statistical tests, and identify trends, correlations, and relevant variables.
• Predictive Modeling: Design and develop segmentation and clustering models, create predictive models, and produce business scores, particularly propensity and churn risk scores.
• Reporting and Valorization of Results: Conduct action reviews, measure the impact of business initiatives, and present results clearly and pedagogically.
• Decision Support: Design presentation and reporting materials for business teams and decision-makers.
• Built, optimized, and documented Dataiku DSS workflows.
• Prepared and valorized datasets for various business uses.
• Finalized segmentation and clustering algorithms.
• Operational predictive models and propensity/churn scores.
• Statistical study reports and action reviews.
• Presentation materials in Google Slides and Google Docs.
• Technical and functional documentation of developments and models.
• Python – Confirmed: Mastery of the language for data exploration, processing, and modeling.
• Statistical Analysis – Expert: Mastery of exploratory and confirmatory analyses as well as statistical tests.
• Predictive Modeling – Expert: Design, development, and evaluation of predictive models.
• SQL – Expert: Extraction, manipulation, and exploitation of data from different sources.
• Tableau – Confirmed: Creation of visualizations and dashboards for monitoring and reporting indicators.
• Dataiku DSS – Expert: Construction, optimization, maintenance, and documentation of Dataiku workflows.
• Good understanding of sales and marketing issues.
• Ability to gather and rephrase business needs.
• Analytical mindset and ability to formulate relevant recommendations.
• Autonomy in conducting studies and Data projects.
• Ability to simplify statistical results for non-technical audiences.
• Excellent communication and reporting skills.
• Languages: Python, SQL.
• Data Platform: Dataiku DSS.
• Visualization and Reporting: Tableau.
• Collaborative and Office Environment: Google Workspace (Google Slides and Google Docs).
• Functional Domains: Data Analytics, statistical studies, customer segmentation, scoring, propensity prediction, and churn risk.

Project details

• Start: ASAP
• Duration: 6 mois renouvelable
• Remote: hybrid
• Location: Tours, Centre-Val de Loire, FR
• Rate: 50-56 EUR/h
• Languages: French