Senior Data Scientist

About us 

Ankorstore is on a mission to rewild retail !

With decades of experience in retail and building marketplaces, in 2019 the Ankorstore founding team knew it was time to create a global wholesale solution – one that swings the balance in favour of independents and restores retail to its natural order !

They’ve created a new ecosystem that harnesses the power of modern technology to create a mutually beneficial community that reinvents the way brands and retailers work together. As a result, wild independents can thrive.

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.

Benefits/Perks 

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 

• Look around and visit our website, LinkedIn, Instagram, Facebook, Youtube and Welcome to the Jungle

• Read about us in the media: How to build a 2 million unicorn in under 3 years, Rewild Retail, Ankorstore is shaping the shopping of the future, Mary Portas & Ankorstore

• Ankorstart

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.