Senior Data Scientist



Data Science
Posted on Tuesday, June 25, 2024

About us

We are in business to save independent retail in Europe!

Across our towns and city centres, unique neighbourhood shops have been overshadowed by large chains and e-commerce giants. To combat this, we’ve created a BtoB wholesale marketplace designed to help independent retailers to compete against larger competitors and thus maintain a connected community of stores, brands and shoppers in the places we live.

Established in 2019 in France, we’ve since expanded to other European countries, including Spain, Germany, UK and the Netherlands. Driven by our commitment to customer satisfaction, we constantly innovate to develop cutting-edge tools and services that set new standards in the market.

Get in touch if you are looking to join a purpose-driven, international team that revolutionizes an old-fashioned industry!

Together Let’s Rewild Retail!

The Team :

As a member of the data science team, the first and foremost driver is contributing to Ankorstore success metrics.

We need you to improve and scale our data-driven features as part of the core product value proposition for our Brands and Retailers.

By joining the data science and machine learning team of 3 people, you will be in charge of developing models, leveraging AI and genAI current and future capabilities, to make Ankorstore a successful company.

Main responsibilities :

This role is designed for a driven data scientist who is not only technically proficient but also adept at fostering collaboration across teams to integrate data-driven solutions that support and amplify our business objectives.

  • Design and/or improve our search, ranking, recommendations, and browsing algorithms, improve personalization; develop core data science enablers that will be leveraged down the line into business use cases.

  • Put them in production, measure their performance, and iterate.

  • With the help of our ML Ops and data Engineering team: design, build and scale real-time and batch processing pipelines to compute features, perform inference, and make decisions.

  • Contribute in the Data Science roadmap and delivery

  • Collaborate closely with Product Managers, Engineers, and the Data Science Manager to align data science projects with organizational goals and product roadmaps.

Tech Stack: GCP, Python, Kubernetes, Kafka, Clickhouse, Aiven, openAPI, ...

Some of the enablement that have been delivered since 2023:

  • Search experience improvement with better accuracy on search terms detection and matching against search results

  • Reranked products in search and catalog browsing experiences

  • Recommended carousels throughout the digital marketplace (homepage, cart, product detail pages, …)

  • Prediction of product metadata in order to offer a top notch Brands’ experience, relying on commodity and seamlessly integration, …

Requirements :

  • B.S., M.S., or Ph.D. in Computer Science or equivalent field.

  • 3+ years of industry experience on machine-learning teams.

  • Experience building and deploying various machine learning models.

  • Experience in one or more of the following areas: NLP, ranking, LLM, search engine, recommender system, and ML

  • Experience with modern back-end machine learning tech stacks.

  • An excitement and willingness to learn new tools and techniques.

  • Strong communication skills and the ability to work with others in a closely collaborative team environment.

  • Designing software for low latency and high throughput environments.

  • Experience in training, launching, and iterating on machine-learning models

  • Extensive experience with relational databases, SQL and python.

  • Strong fundamental programming skills:

    • Object-oriented design

    • Functional programming

    • Systems Design

  • Solid understanding of engineering and infrastructure best practices, general software development principles with a machine learning software development life-cycle orientation.


At Ankorstore we offer a versatile range of benefits to support employees' well-being and work-life balance, fostering personal growth within an innovative and adaptable work environment.

  • We are a remote-friendly company; depending on your role, you will have a full remote or a hybrid contract

  • All of our employees are automatically covered by Health Insurance & Life Insurance. Our Health Insurance (Mutuelle) and Life Insurance (Prévoyance) are SideCare

  • We have partnered with Swile to provide you with meal vouchers

  • You will have access to Leeto a platform that provides you with exclusive discounts, cultural activities, holiday vouchers and more

  • Enjoy health benefits through Class Pass, offering you the flexibility to attend in-person classes, digital sessions, or wellness workshops, keeping you active and engaged

  • Modern WeWork offices located in Paris, providing a vibrant and inspiring work environment

  • 360Learning, a dynamic learning platform offering engaging, customized training experiences and fostering skills development across the entire organisation

Learning more about Ankorstore

Ankorstore is proud to be an equal opportunity workplace dedicated to promoting diversity. We don’t discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.