Senior Data Scientist - AI Core

Hi, we’re Back Market.

We’re here to help make tech reliable, affordable, and better than new. We're a global marketplace for refurbished devices, helping lower our collective environmental impact by providing trustworthy, affordable tech with 92% less carbon emissions than new.

Yep, you read that right. Turns out refurbished tech is way better for the planet than new. In fact, With every device purchased on Back Market, our positive impact on the planet grows. From our Customer Care representatives to our software engineer, every individual at Back Market cuts the planet — and consumers — a break. Our mission is simple: to do more with what we already have.

Are you ready to join us?

Hi, we’re Back Market.

We’re here to help make tech reliable, affordable, and better than new. We're a global marketplace for refurbished devices, helping lower our collective environmental impact by providing trustworthy, affordable tech with 92% less carbon emissions than new.

Yep, you read that right. Turns out refurbished tech is way better for the planet than new. In fact, With every device purchased on Back Market, our positive impact on the planet grows. From our Customer Care representatives to our software engineer, every individual at Back Market cuts the planet — and consumers — a break. Our mission is simple: to do more with what we already have.

Are you ready to join us? 

As a member of the Bureau of Technology, your mission will be to design, develop, and implement AI-driven solutions to enhance our marketplace. You will join our AI team, which functions as our Data Science & Machine Learning incubator, where we explore new AI applications and bring the most promising ones to production.

Currently, our primary focus is on utilizing generative AI at scale to address needs related to customer care (sentiment analysis, agent helping tools, etc.) and improving the management of our catalog.

Here is an overview of what we are currently doing:

1. https://engineering.backmarket.com/how-machine-learning-boosted-available-cash-flows-for-our-sellers-eddd697269fc

2. https://www.linkedin.com/posts/florianvaleye_generativeai-llm-ai-activity-7137833031997779968-CHLl?utm_source=share&utm_medium=member_desktop

3. https://www.linkedin.com/posts/florianvaleye_dataengineering-ai-largelanguagemodel-activity-7141117138756444160-fDDP?utm_source=share&utm_medium=member_desktop

What you will do:

• Own the results of high-impact projects covering problem definition, metrics development, data extraction and manipulation, implementation of analytical/statistical models and presentation to stakeholders

• Identify company problems and opportunities that can be tackled through AI; develop evidence of the validity and utility of data science solutions (e.g. through prototypes or MVP); collaborate with relevant teams to design and build the product features that leverage it

• Hands-on development, productionisation, and operation of machine learning models and pipelines at scale, including both batch and real-time use cases, structured and unstructured data

• Contribute to the development of the AI community within the company by promoting best practices and sharing your work internally to raise awareness about AI capabilities

• Regularly present work internally (demo, internal conferences,...) to technical, engineering and product stakeholders to acculturate the business to AI related topics

Your Background:

• At least 6 years of industry experience in data science or related fields, with a Master’s or PhD in a quantitative discipline such as Statistics, Economics, Sciences, or Engineering

• Proven track record of leading impactful initiatives to develop data science products that solve business problems

• In-depth understanding of the machine learning lifecycle, including best practices, algorithms and domains (e.g. time series prediction, NLP, computer vision and recommendation)

• Strong coding skills in Python and familiarity with software engineering principles of testing, code review and deployment

• Experience in designing, prototyping, scaling and launching data science products, with a focus on balancing execution, research and evolutionary design

• Proven ability to mentor and develop scientists, engineers and peers

• Strong communication skills to effectively convey complex technical concepts to audiences with varying levels of technical expertise

• Curiosity, proactivity, humility and team spirit

Recruitment process:Call with our Tech Talent Advisor, to get a better understanding of your searchHomeworkTechnical interview with Romain, one of our Data Scientist and Vlad, one of our ML EngineersTeam Fit with Aurélien (Engineering Manager) and Anne Sophie (Group PM) Culturally Fit

WHY SHOULD YOU JOIN US ? ✌🏼

At Back Market, we’re committed to hiring and supporting diverse teams of people from all backgrounds, experiences, and perspectives — it’s one of the reasons we’re such a high-scoring certified B Corp company (93.2).

No matter your role and seniority level, you’ll enjoy impact-driven work with hands-on career development in an innovative, driven, and fast-paced environment — with benefits to match, like: 

- A mission driven work environment where your day to day makes an impact on the planet. Seriously.

- Hybrid work environment, with 2 remote days a week and 1 remote work week per quarter, plus 3 flex days. 

- Employee Resource Groups, including mentorship programs, comprehensive accessibility policies, and cultural competency training. 

At Back Market, we strive to create a workplace that embodies the world we’re trying to change. We’ve embedded our diversity, equity, and inclusion principles into our DNA — from dedicated staff to employee resource groups to our company values. 

We know that the perfect background for a role doesn’t mean the perfect fit — we encourage you to apply for a role even if you think you may not have all the qualifications. 

If reasonable accommodations are needed for the interview process, please do not hesitate to discuss this with the Talent Acquisition Team.