Staff 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.

We are seeking a Lead Data Scientist (staff level) who will serve as a technical leader in driving innovation and shaping our data strategy.

This role demands a blend of technical expertise, strategic thinking, and business acumen to tackle high-impact challenges across our organization.

As a Staff Data Scientist, you will represent the cornerstone of this team delivery, working transversally in the company (squads and business teams).

Main responsibilities

You will be responsible for spearheading strategic data initiatives, developing scalable end-to-end ML solutions, and influencing key business decisions.

Your experience in building advanced recommender systems, personalization and search solutions (with a focus on ElasticSearch), as well as leveraging Large Language Models (LLMs), will be critical in enhancing user experiences and driving our core product offerings. You collaborate cross-functionally to translate business objectives into innovative data solutions.

• Algorithmic Development: develop state-of-the-art solutions for recommender systems, personalization, and search functionalities optimized for our B2B ecommerce environment.

• Leadership & Mentorship: act as a technical leader and mentor for the data science team, cultivating an environment of innovation and continuous learning.

• Technical Vision & Strategy: evaluate emerging technologies, including cutting-edge developments in LLMs, and integrate these innovations into our ecosystem.

• Strategic Business Alignment: champion a data-driven culture across the organization, identifying new opportunities to improve our products and services.

To do so, you will work closely with Product Managers, Tech and Data Engineers, and report to the Head of Data.

Tech Stack: Python, SQL, FastAPI, GCP, Kubernetes, Kafka, Airflow, Clickhouse, Aiven, openAPI,

Requirements

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

• 7+ years of industry experience on machine-learning teams, with at least one year in a leadership position.

• Experience building and deploying machine learning models in production.

• Experience in one or more of the following areas: NLP, ranking, search engine, recommender systems.

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

• Strong programming skills, especially in Python.

• Solid understanding of engineering and infrastructure best practices, general software development principles.

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

• Experience with relational databases and noSQL databases.

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

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

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, and you will have a hybrid contract, based in Paris.

• 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.

• Paid leaves + RTT.

• Modern offices located in Paris (Opéra), providing a vibrant and inspiring work environment.

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.