Barcelona, Spain

The Open Pricer Platform is used by major international logistics groups (parcel networks,

road freight, e-commerce delivery). It is a key contributor to their financial performance

through dynamic pricing1. It also contributes to a sustainable supply chain by aiming to optimize the use of vehicle capacity.

We are an innovative European software company with offices in Paris, Barcelona and

Dubai. We are quickly expanding internationally to support several thousand users in 30+

countries.

Our technology is based on real-time analysis and modeling of large amounts of

operational, financial and sales data. Users access our platform either via our Web App or

through APIs from other applications (CRM, Customer Portals, etc.).

Our R&D team is responsible for the on-going development of the platform in order to

deliver the best recommendations to our clients. It works closely with product management,

pricing experts, data scientists and our delivery team. We apply an agile development

methodology and our technology stack includes: Agile Scrum, GitLab, Jira, Java, Spring,

Hibernate, Bootstrap, Docker, Jenkins, PostgreSQL, Python, R, TensorFlow, Swagger.

1 Dynamic prices are calculated instantly, optimized for every transaction and frequently updated to

reflect market changes.

Your missions

• Participate to the development of new features and the corresponding test scenarios, run the tests and ensure quality standards are met;
• In particular you will integrate into the platform advanced price analyses, KPIs and intelligent alerts generated by the Pricing Cockpit DS/ML modules (Fair Price, Performance Dashboard, Forecast/Attrition and Churn, Win-Loss Analysis and Dynamic Pricing);
• As a member of the Agile team, contribute to the grooming and planning of new features;
• Contribute to project delivery by designing and implementing solutions to complex business issues.
  
  

To enable you to quickly build your skills on the Open Pricer platform and understand the

business needs of our clients, you will receive a one-week training course on our pricing

methodology and technology in our office in Paris.

Your profile2

• You are a student in last year or a graduate from an engineering or IT school;
• You are interested in the applications of computer science and data science to improve business performance;
• You can quickly understand and analyze business requirements and translate them into software design specifications;
• You have good interpersonal skills and are a team player;
• You have an experience of at least 1 year in JAVA and SQL;
• You have an analytical, logical and rigorous mind;
• You know how to manage priorities and meet deadlines;
• You can communicate fluently with clients in English.
• Knowledge of French, German, Spanish or Portuguese is not mandatory but will be appreciated.
  
  

2 Hard skills are underlined

Our Added Value

• A booming solution with high added-value for business success (price optimization) and contributing to a sustainable world (reduction of GHG and pollutants thanks to optimized use of vehicles capacity);
• A dynamic and innovative company on a human scale with international clients in high growth sectors (E-Commerce - Supply Chain);
• An exciting scientific environment around Data Science and Machine Learning;
• An opportunity to develop your career in a new and growing area of expertise;
• Great coworking spaces in the center of Paris (Wojo - Saint-Lazare), Barcelona and Dubai, and soon in Brazil and the United States;
• Remote work was in our culture before the Covid crisis as the team was already working from different countries and locations. We meet daily online and physically when needed to develop team cohesion and boost creativity. Office work is always available for those who prefer;
• Attractive remuneration (fixed salary, bonus based on company success and employee shareholding). You will also benefit from our mutual health insurance, restaurant tickets and reimbursement of your travel and remote work expenses.
  
  

Recruitment Process

• Apply on the right panel
• Interview with Head of R&D (in English)
• Case study and/or technical test (online) - 1h