Analytical Data Scientist

The company

30% of global agricultural raw materials end up as wasted resources. In other words, 6% of our global carbon emissions are generated for nothing. That’s it. 

At Hubcycle, we are reshaping the food industry by transforming overlooked by-products into competitive ingredients. Our approach hacks conventional supply chains, demanding boldness, peak performance, pragmatism, and collaboration. This should never prevent us from delivering the highest food safety standards, though. 

We act as professionals, always.


Our culture

We believe a great workplace is about working alongside exceptional people who push us forward. We cultivate a culture of excellence, ownership, and impact, ensuring that each person at Hubcycle contributes meaningfully to our mission. 

This requires creativity, resilience, and a hunger to challenge the norm. We are not here to play it safe; we are here to build a company that changes how the world sources food. 

We move fast. We expect excellence. 

We challenge each other constantly. We don’t hide behind excuses. We don’t tolerate mediocre standards, negligence, nor carelessness. 

This environment is demanding and high-impact, but deeply rewarding. Let’s be clear: Even if this sounds sexy, Hubcycle is not for everyone. 

So please read on. 

Our mission

We buy what others discard.

We spot and assess agri-food by-products, turning them into high-quality, competitive & sustainable ingredients.

We’re not just avoiding waste, we’re rethinking the supply chain, creating a fully upcycled ecosystem for tomorrow’s food.

By connecting industry players to untapped resources, Hubcycle boosts circularity and food access, doing more, with less

At Hubcycle, we have one simple mission: to create value where others don’t see it.

As our new Analytical Data Scientist, your role will be critical in supporting this mission and enhancing our performance across existing and new markets.

By combining strong analytical skills with data science expertise, you will bridge the gap between descriptive analytics and predictive modeling. You will work closely with business stakeholders to analyze data, generate insights, and build advanced analytical models that support decision-making and business performance.

On a day-to-day basis, your role and responsibilities will include:

• Analyzing large and complex datasets to produce actionable insights and business recommendations

• Defining, building, and maintaining dashboards, KPIs, and automated reports

• Performing advanced analytics, including statistical analysis and exploratory data analysis (EDA)

• Developing and validating predictive and explanatory models (regression, classification, clustering, time series)

• Translating business questions into analytical and data science use cases

• Conducting feature engineering and data preparation for modeling

• Communicating insights and model results clearly to both technical and non-technical stakeholders

• Ensuring data availability, consistency, and quality

• Running experiments, A/B testing, and performance measurement initiatives

The team around you

Reporting to the Chief of Staff, you will be our first “tech profile.” Benefiting from the support of our ERP Manager, you will evolve alongside our on-site team. Learning from category and operations experts, you will gain a deep understanding of our business model’s specificities and be involved in the development of strategic projects, while maintaining the company’s fast-paced growth

Who You Are

• You like challenges and aim high !

• Flexible and agile, you know what it takes to be part of a Start-Up, an ever changing environment.

• Autonomous, dedicated, humble, rigorous, proactive, details oriented. You know how to prioritize and “cut the crap”. 

• You’re efficient & business oriented -no BS, just solutions. 

• Team player AND lone wolf : you own your projects but ask for help when needed. 

• You are known for your interpersonal and customer service skills, even in highly stressful situations.

Must-Haves 

• At least 5 years of experience in a similar role.

• Technically : SQL, Python, API, etc., if you know, you know!

• Power BI, Tableau, Preset or Metabas. You know which ones are good, which ones are to avoid, 

• French or English. No problem, you master both of them. 

• Ability to explain product technicity and specificities to different stakeholders. 

• Curiosity to hunt for data and market info to support decision making and business opportunities

Nice-to-Haves 

• You have a “circular economy mindset”

• You already developed Data Tools and/or tailored existing ones.

You embody our core values

• Discernment 

• Boldness 

• Dedication to performance 

• Communication 

• Collaboration 

• Pragmatism 

• Integrity 

Salary and conditions 

• Contract : Permanent Full-time 

• Status : Cadre 

• Workplace : Avignon (South)

• Work from home : 2 days/week after the first month

• Salary : from 45k€ to 50k€ gross / Year + attractive bonus scheme 

• Start ASAP 

Process

• Interview with our Talent Acquisition Manager 

• Interview “Deep Dive” with the Tech Team and Manager 

• Technical study case

• On-Site case presentation + Culture fit meeting with Manager.