Integrated into the Data team with experienced people, you will help to create a scalable and efficient product that meets the needs of our clients!

You will work on various missions to create value from Trustpair’s internal and client data.

For example, you will have the opportunity to work on :

• Fraud detection & risk algorithms based on geographical, payment and company data ;
• Statistical models to improve & optimize our operation workflow ;
• OCR from our clients documents and NLP/NLU on text recognition results

If you have worked on different areas of ML solutions, aren’t afraid of dealing with complex data, and like challenges, take the plunge, apply and join us in the adventure.

Challenges

🔬 RESEARCH — Research and innovation to extract value from our clients’ data ;

🔎 Exploratory analysis ;

🎨 Turn business questions into data challenges ;

🔑 Identify key prediction/classification problems and build prototypes

🖱️ STATE-OF-THE-ART-TECHNO — A team that challenges itself to achieve technical excellence ;

🤖 Machine Learning (Shallow and deep algorithms), NLP/NLU ;

👨‍🔬 Work in pair with Data Engineers for tests, scalability and model deployment in production.

🔥 DELIVERY — Shape-Up, an innovative product methodology that breaks Agile Scrum habits ;

📢 Full responsibility, full leadership, involvement of teams in the roadmap ;

🏗️ Work from request to delivery, Deliver only the relevant features

What to expect from us

• Liberty, full ownership ;

• Great and sane work environment :

  • A cross-functional team, working remotely, used to promoting best practices ;
  • A constantly evolving project, new features delivered several times a month

MUST HAVE

• 1-2 years of professional experience in ML (besides internships) ;
• Master’s or PhD in Statistics, Computer Science, Engineering, or Mathematics ;
• Experience with programming languages (Python, Scala …) ;
• Experience with datascience tools (ScikitLearn, Tensorflow, Keras, Pytorch …) ;
• Know ML Design fundamental ;
• Ability to debug/troubleshoot code and models ;
• Fluent English

NICE TO HAVE

• SQL Basics ;
• Worked on problem scoping/definition, modeling, results interpretation and presentation ;
• Good knowledge of statistical algorithms and demonstrated skills in selecting the right statistical tools given a data analysis problem ;
• Autonomous

Recruitment process

• Call with Maja, Talent Partner (20 min) ;
• Call with Simon, CTO (1h00) ;
• Case study (1h30 exercice + 30 min of live restitution) with Amin, Lead Data Engineer;
• Fit Coffee with two members of Trustpair (30 min) ;
• Call with Baptiste, CEO (45 min)