AVISIA

Data Scientist H/F - Nantes

Nantes, France6 months ago

Details

Grade

Middle

Experience

from 3 years

A cover letter for this job

An email or a Telegram message to the recruiter

Responsibilities

We work with our clients on 100% data-related projects that combine technical and operational aspects. Depending on your profile and interests, you will have the opportunity to participate in projects that address purely technical challenges or challenges more oriented towards business. Our clients are present in various sectors of activity (luxury, retail, telecommunications, banking, insurance, etc.), and the data science project themes you can work on are also diverse. Some examples of current themes:

Development of churn prediction models for an e-commerce website of a retailer. Prediction
Creation and industrialization of a recommendation engine designed to optimize the conversion of website visitors. Recommendations
Creation of churn scoring to identify customers of a large distribution operator experiencing slow activity decline, Churn
Implementation of customer segmentation to optimize a brand's marketing and commercial actions (targeting, retention, depending on communication channel preferences). CustomerSegmentation

Requirements

We are looking for talents:

With excellent communication skills,
With a desire to contribute to the success of client projects,
With good analytical and synthetic thinking skills,
With a strong focus on the quality of results, as well as their presentation and popularization,
Curious and eager to stay updated on market trends,
With a desire to continue learning to actively develop,
With at least three years of experience

Technical Skills: You have a university or prestigious school diploma in the data field, and you:

Have a good knowledge of fundamental statistical modeling or machine learning methods (Random Forest, XGBoost, K-means, ...),
Have a good knowledge of SQL,
Are proficient in Python, R, and/or SAS,
Know one of the main software solutions on the market (Dataiku, SAS, Alteryx…),
As a bonus, have an understanding of cloud technologies: GCP, AWS, Azure…

Our tasks: We work with our clients on 100% data-related projects that combine technical and operational aspects. Depending on your profile and interests, you will have the opportunity to participate in projects that address purely technical challenges or challenges more oriented towards business. Our clients are present in various sectors of activity (luxury, retail, telecommunications, banking, insurance, etc.), and the data science project themes you can work on are also diverse. Some examples of current themes:

Development of churn prediction models for an e-commerce website of a retailer. Prediction
Creation and industrialization of a recommendation engine designed to optimize the conversion of website visitors. Recommendations
Creation of churn scoring to identify customers of a large distribution operator experiencing slow activity decline, Churn
Implementation of customer segmentation to optimize a brand's marketing and commercial actions (targeting, retention, depending on communication channel preferences). CustomerSegmentation

Human Factor: We are looking for talents:

With excellent communication skills,
With a desire to contribute to the success of client projects,
With good analytical and synthetic thinking skills,
With a strong focus on the quality of results, as well as their presentation and popularization,
Curious and eager to stay updated on market trends,
With a desire to continue learning to actively develop,
With at least three years of experience.

Technical Skills: You have a university or prestigious school diploma in the data field, and you:

Have a good knowledge of fundamental statistical modeling or machine learning methods (Random Forest, XGBoost, K-means, ...),
Have a good knowledge of SQL,
Are proficient in Python, R, and/or SAS,
Know one of the main software solutions on the market (Dataiku, SAS, Alteryx…),
As a bonus, have an understanding of cloud technologies: GCP, AWS, Azure…

Hiring Process: First, you will interact with our Talent Acquisition Lead, who will invite you for an initial interview by phone, video, or in person. A technical test (QCM and practical cases) will be sent to you by email. Then, you will meet with an experienced consultant (Manager or Practice Lead), preferably in person. If necessary, informal meetings with the team can be organized so you can discover your future work environment in parallel.