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Senior Data Scientist - Circularity Strategy

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? 


Core to Back Market's Circular mission is its Trade-in service. It enables customers to sell their used tech devices for cash to Back Market's network of refurbishers (the sellers), fueling the circular economy by easing the sourcing of tech devices while providing a customer-centric solution preventing the accumulation of e-waste in our landfills (or drawers).


As a Senior Analyst/Data Scientist, you will be guiding senior stakeholders and the wider Data Analytics & Insight team to better understand the drivers of our trade-in service, those of our competitors & enable the best decision-making to reach our goals. Specifically, you will explore, analyze and recommend new and innovative approaches for improving our trade-in value proposition and delivering optimal pricing and experience for both sellers and customers across our marketplace.


YOUR MISSION (IF YOU ACCEPT IT): 🥇
  • Conduct research and analysis within our circularity services (Trade-In, Recycling), to tackle operations challenges and identify opportunity areas where Back Market can provide incremental value to sellers and customers
  • Model and forecast seller and customer behavior to optimize Long Term Value for the company 
  • Analyze and model the optimal pricing strategies which sellers and Back Market can participate in to deliver growth in trade-in device volumes , profitability (for both sellers and Back Market) and customer satisfaction
  • Explore and recommend new approaches for understanding used device flows, opportunities to continue to grow the circular market and win over new customers and sellers
  • Be an active contributor to circularity strategy, by thinking beyond immediate analysis to understand the long-term implications of actions and leverage opportunities beyond Circularity scope (supply creation, customer acquisition, etc.)
  • Collaborate closely with business & top management : supporting their needs, providing tools to ease access to insights, easing performance monitoring, sharing your analysis & recommendations in an impactful way to get their buy-in


YOU ARE IN THE RIGHT PLACE IF: ⭐
  • You have 5+ years of relevant industry experience (ecommerce, retail, marketplace…)
  • You possess a good balance of statistical/technical skills, business acumen, and communication skills
  • You have experience partnering with internal teams and senior decision makers to drive decision and action, leveraging data insights. You act as an expert and provide direction on analytics
  • You have  excellent knowledge of SQL but Python or another coding language is a plus


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.

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What You Should Know About Senior Data Scientist - Circularity Strategy, Back Market

Hey there! Back Market is on a mission to revolutionize tech consumption and promote sustainable practices, and we’re looking for a Senior Data Scientist specialized in Circularity Strategy to help drive this change! Based in London, this role is all about understanding our Trade-in service and optimizing our sustainable offerings. If you've got 5+ years in the industry and a knack for data analysis, we want to hear from you! You’ll work closely with senior stakeholders to decode seller and customer behaviors, analyze pricing strategies, and contribute innovative ideas for enhancing our services. By joining us, you’ll play an instrumental role in reducing e-waste and making tech accessible to everyone. You’ll dive deep into research concerning circularity services and collaborate with top management to share insights and gameplay strategies that drive results. Plus, we’re a certified B Corp, meaning your work will genuinely matter and have an impact on our planet's health! Experience in SQL and a good mix of statistical skills with business acumen will really set you apart here. So if you're ready to join a diverse team that values creativity and sustainability, we invite you to apply and make a difference at Back Market!

Frequently Asked Questions (FAQs) for Senior Data Scientist - Circularity Strategy Role at Back Market
What responsibilities does a Senior Data Scientist in Circularity Strategy at Back Market have?

As a Senior Data Scientist in Circularity Strategy at Back Market, your main responsibilities include conducting research and analysis within our circularity services, optimizing the trade-in value proposition, modeling customer and seller behaviors, and recommending innovative approaches to grow the circular market. You'll also collaborate closely with top management to ensure that your insights align with strategic goals.

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What qualifications are needed for the Senior Data Scientist role at Back Market?

To qualify for the Senior Data Scientist position at Back Market, you should have at least 5 years of relevant industry experience, a strong grasp of statistical and technical skills, and excellent communication ability. Logical and analytical prowess is essential, as is a solid understanding of SQL, with Python being a beneficial additional skill.

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How does the Senior Data Scientist contribute to Back Market's circularity mission?

The Senior Data Scientist at Back Market contributes to the circularity mission by analyzing trade-in services, understanding device flows, and developing optimal pricing strategies to boost trade-in volumes. The role is crucial in reshaping how the company engages with sellers and customers, ultimately driving growth while promoting sustainability.

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What kind of work environment can a Senior Data Scientist expect at Back Market?

At Back Market, a Senior Data Scientist can expect a hybrid work environment that encourages work-life balance, offering two remote days a week and a fully remote work week each quarter. The company places a significant emphasis on diversity, inclusion, and impact-driven work, making it a meaningful place to be.

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What impact does Back Market aim to achieve through its Circularity Strategy?

Through its Circularity Strategy, Back Market aims to significantly reduce e-waste and enhance sustainable tech consumption. By optimizing trade-in services and encouraging device reuse, the company strives to create a more circular economy and improve customer accessibility to reliable technology at reduced environmental costs.

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Common Interview Questions for Senior Data Scientist - Circularity Strategy
How do you approach data modeling for customer behavior?

When approaching data modeling for customer behavior, focus on historical data, utilize statistical methods, and look for trends. Incorporate segments that might influence decision-making, and always validate your models to ensure accuracy.

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What is your experience with SQL and other coding languages?

I have extensive experience writing complex SQL queries for data extraction and manipulation, as well as using Python for data analysis and automation tasks. My skills include optimizing queries for efficiency and integrating datasets from various sources.

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Can you describe a time you influenced a business decision with data?

Absolutely! In my previous role, I analyzed customer trade-in patterns, presenting insights to management that led to adjustments in pricing strategy. This directly resulted in a notable increase in trade-in volumes and improved customer satisfaction.

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What strategies have you employed to identify growth opportunities in a business?

I typically analyze market trends and competitor strategies, run scenario-based modeling, and gather and synthesize customer feedback. These practices help pinpoint areas for potential growth and refine our value proposition.

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How do you ensure effective communication of your data insights to stakeholders?

I ensure effective communication by tailoring my insights to the audience, using visuals like dashboards or charts for clarity, and summarizing key points to capture attention. Engaging stakeholders in discussion further solidifies mutual understanding.

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What experience do you have with forecasting seller and customer behaviors?

I have worked on multiple forecasting models using regression and time-series analysis techniques. Delivering actionable insights to teams has always been my priority, helping stakeholders understand predicted trends and their implications.

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How would you approach optimizing pricing strategies?

I would analyze historical pricing data, competitor pricing, and customer response metrics to devise dynamic pricing models. A/B testing can help compare strategies in real time, ensuring we adjust based on actual performance.

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What tools do you prefer for data visualization and why?

I typically prefer tools like Tableau or Power BI for data visualization due to their user-friendly interfaces and powerful visualization capabilities, making it easier for stakeholders to grasp complex datasets intuitively.

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How do you keep up with the latest trends in data analysis for e-commerce?

I keep up with the latest trends in e-commerce data analysis by engaging with industry publications, attending webinars, and participating in data science forums. Continuous learning is essential in this rapidly evolving field.

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In what ways can data enhance the customer experience in a marketplace?

Data enhances customer experience by personalizing recommendations, optimizing inventory management to avoid stockouts, and tailoring marketing efforts. Understanding behaviors can ultimately lead to a more meaningful and satisfying customer journey.

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Leading the way in a shift towards a circular economy, freeing the planet from electronic waste, and building a leading global tech company are three solid reasons to wake up every morning. Taking part in Back Market’s adventure means committing ...

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Full-time, hybrid
DATE POSTED
April 2, 2025

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