Did you notice the world of work is changing?

Malt connects the best freelancers with the most exciting companies in Europe. We pride ourselves on offering a combination of AI and human powered sourcing that is 10x more efficient than the traditional players. Plus, we offer a simple secure payments process that provides peace of mind for both parties. 

We are a tech company with a human approach. Everyday thousands of people come to Malt looking for Choice, who to work with, when and how.

Malt in numbers:

•  A community of 230,000 freelancers (the largest in Europe) 30,000 clients

• 112 million euros raised with ISAI, Serena, IDInvest, Eurazeo Growth & Goldman Sachs

• 4 offices in Paris, Lyon, Madrid & Munich

• Twice recognised by LinkedIn as one of the best start-ups to work at

• Over 200 Malters sharing one culture

• 50% of Malt Leaders are women, we are committed to equality and diversity

Join us and become part of the #NewWorkOrder

Malt is growing rapidly. In order to achieve our ambitious goals, we are offering you the opportunity to join the Malt Data team as a Lead Data Scientist.

The Data team is part of the product team that is in charge of creating the most efficient marketplace possible for our freelancers and clients. This team also supports the other teams in order to provide them with the tools they need to make their daily life easier. 

The product team is also the meeting of various skills. It is composed of about forty people:

- Front-end software engineers (Javascript, TypeScript, VueJS, VanillaJS)

- Software engineers back (Java, Kotlin)

- Product managers

- UX designers

- Cloud engineers 

- Data engineers, data scientists & data analysts

We are organized in tribes. Each tribe is responsible for a part of the product (user research, design, architecture, support, technical debt, production...), and imagines the best solutions to reach the product OKRs and thus contribute directly to the company's growth. 

At Malt, we believe that curiosity is an asset. The whole team participates in the product architecture, all decisions are collegial and we regularly engage in discussions on the best way to do things.  

Our Challenges 

There are many challenges, both business (internationalization, payment, integration with third-party services, automatic moderation, recommendation, etc.) and technical (scalability, support, security, distributed architecture, search engine, machine learning, etc.) 

Tech Culture at Malt

Knowledge sharing is part of our DNA. We organize more events: 

- LesMalt Academy allowing everyone to access quality presentations to learn. As a member of the team, you will be encouraged to actively participate

- Malt Tech Training Sessions or Malt Tech Days to share knowledge and practices within the team. We regularly participate in technical meetups or conferences. As a member of the team, you have the possibility to attend the events that interest you, we take care of everything and we leave you the time to prepare interventions as a speaker. 

- Communities of practice (guilds) created to share knowledge on front-end development, security, data or back-end architecture

- Code retreats once a year in various places (Madrid, Porto, Barcelona, Seville...) to stimulate our creativity.

The team also actively participates in writing articles on our blog, Inside Malt.

Our Technical Stack 

- Backend development: Java, Kotlin, MongoDB, Elasticsearch, RabbitMQ, PostgreSQL, Spring boot, Redis

- Frontend Development: Javascript, Typescript, VueJS, VanillaJS, Gulp, Webpack

- Ops: Google Cloud Platform, Docker, Kubernetes, Terraform

- Data: BigQuery, SQL, Python, Spark, Scala

- Mobile: Kotlin, Swift

Mission

As a Lead Data Scientist within the Data team, you will have a role of data referent and mentoring on your peers. 

Your mission will include : 

- Be the technical referent of the Data Science team

- Be an evangelist of the benefits of data-driven  

You will work on the following issues: 

- Improving the matching between customer searches and our freelancers

- Streamline and optimize marketing projects

- Designing efficient recommendation systems  

Profile required 

Must have: 

- Strong knowledge of Python and SQL.

- Good understanding of machine learning, deep learning and in particular Natural Language Processing algorithms.

- Ability to design models and put them into production.

- Experience with a Cloud environment ideally GCP. 

Nice to have: 

- Have already worked with Airflow and on BigQuery

- Knowledge of Spark 

What we offer 

- A stimulating work environment that fosters creativity, autonomy and leadership

- Excellent hardware (SSD, 32GB RAM, multi-core), you will have the choice of OS (Mac or Linux) and software you are most comfortable with. We believe that you should not skimp on your workstation, the heart of your productivity. 

- The possibility to work in full remote, with participation in team events to meet your colleagues when necessary to strengthen our cohesion. Our team is mainly based in Lyon and Paris and we are used to working remotely since always. Moreover, we work in flex-office in our different European offices and we encourage the members of the engineering teams to discover the business and the challenges of the members of the other teams in all our offices in Europe. 

Recruitment process

- Screening with a Talent Acquisition Manager

- Interview with the Head of Data

- Interview with VP Engineering, Benoit

- Technical test and debrief with the team

- Final interview with our Chief People Officer, Richard

Today we are 200 Malters. Each Maltter carries our values, which directly impacts the way we work together and make decisions as a community

Office and life at Malt

🏫 One week of onboarding - Learn about our product and culture before diving into your new role in your team

🏝 Annual off sites - Les Arcs, Amsterdam, Séville, Agadir… What’s next ?

🎤 Karaoke - Since the beginning, the team has been a fan of karaoke, once a month

🧑‍💻 Home office - We believe that exchange between people is important, but sometimes it is easier to concentrate at home

📚 Free books - For any subject directly or indirectly related to your work, we will order the book for you, without any approval process or headaches