Data Scientist (M/W)

Description du poste

In less than a decade, ManoMano has become a key player in the home improvement and renovation sector.

Launched in 2013, ManoMano is the reference online marketplace for DIY, home improvement and gardening. Co-founded by Philippe de Chanville and Christian Raisson, ManoMano brings together the largest offer of DIY & gardening online products: electricity, plumbing, hardware, frames, indoor and outdoor furniture, tools, etc. With more than 2 600 seller partners and 7,5 million products, ManoMano currently employs 600 people and operates in 6 markets (France, Belgium, Spain, Italy, Germany, United Kingdom).

Motivated by the prospect of improving the living environment of their customers and convinced of the importance of the home market for sustainable consumption habits, the ManoMano teams want to help write a new page in their industry, which is struggling to reform itself. ManoMano brings to a highly technical world the power of its sector expertise, combined with that of data and digital in all its dimensions, to offer our customers easy access to innovative advice, products and services 100% online.

The ambition of the Founders and, above all, of Manas & Manos? To accompany this sector transformation with a strong culture of boldness, in an ingenious and frugal organization that places people and teams at the heart of the company's development.

The Data Science team is at the forefront of this mission, delivering projects that influence both internal stakeholders and our diverse range of B2B and B2C customers. From product categorization to recommendation systems and LTV estimation, our projects are diverse and challenging.

The Data Science Catalog team, in particular, focuses on enriching ManoMano's product offerings through advanced algorithmic solutions, playing a crucial role in our commitment to delivering a great customer experience.

Missions:

As part of the Data Science Catalog team, your responsibilities will include:

• Enhancing and curating ManoMano's product catalog through content enrichment.

• Supporting the selection of the best offers using internal algorithms.

• Developing and implementing solutions for product categorization, deduplication, and attribute extraction.

• Assist stakeholders in implementing GenAI solutions for instance by developing and fine-tuning LLMs

• Collaborating closely with product managers and other nontechnical stakeholders to align data science projects with business objectives.

Requirements:

• You’ve already deployed an LLM in production

• A strong foundation in NLP and familiarity with modern architectures, particularly transformers. In particular, experience with question-answering pipelines training and evaluation is valued.

• Experience through internships or otherwise with real world data (be it mislabelled training datasets or unstructured and heterogenous texts)

• A solid understanding of machine learning theory and algorithms.

• Proficiency in Python and SQL, with the ability to write clean, efficient code.

• A keen interest in Generative AI and its applications in e-commerce and product information management.

• Willingness to iterate quickly from R&D to productization with scalability in mind

• Good communication skills, with the ability to engage effectively with nontechnical stakeholders.

• Nice to have:

  • familiarity with Streamlit and MLOps practices.

  • Knowledge of scalable processing frameworks (Dask, Ray, etc.)

Our tech stack

• Python 3.10+

  • Data processing libraries (numpy, pandas, polars, Dask)

  • Transformers

  • Pytorch

• Snowflake

• AWS Stack (including EKS, Batch, S3, etc.)

• Devspace

Why Join Us?

At ManoMano, we believe in creating an environment where our team members can thrive both professionally and personally. Here’s what we offer:

• Comprehensive Benefits: Enjoy coverage for transportation costs and private health insurance, along with access to restaurant vouchers.
• Generous Paid Leave: Benefit from an ample amount of paid leave, with flexibility tailored for our executive roles.
• Hybrid Working Model: Embrace a flexible work arrangement that allows for remote work while still enjoying collaboration in the office.
• Employee Perks: Take advantage of discounts, free gym access, and fun amenities like a music room and modern office spaces.
• Supportive Policies for Parenthood: We offer flexible arrangements for expecting parents, including extended maternity leave, helping you balance work and family life.
• Professional Development: Gain free access to Udemy courses, empowering you to expand your skills and knowledge.
• Career Growth Opportunities: Unlock your potential with various opportunities for advancement, including Moka sessions for continuous learning.

Join us and become part of a dynamic team that values collaboration, innovation, and personal growth!