Senior Research Data Scientist

Senior Research Data Scientist About us Spore.Bio is a deeptech start-up born in 2023, building a new paradigm in the quality control systems in Food&Beverage, Cosmetics, and Pharmaceutics factories. After spending a lot of time in factories environments, we saw the pain it was to make sure products were safe. Traditional quality control has heavy constraints and long waiting times. To change that, we decided to build Spore.Bio, a new generation of microbiological testing. Our team is dedicated to bringing technology and developing a cutting-edge solution, based on advanced optical and deep-learning technologies, to detect bacterial contamination within seconds. Are you ready to revolutionize microbiology monitoring in factories? Spore Bio is seeking a Senior Research Data Scientist to develop our cutting-edge data science solution. Join our dynamic team of R&D experts and product managers, and help us build the future of industrial microbiology. About the role Drive innovation by proposing new ideas to enhance and optimize model performance. Develop and implement advanced methods in image generation and unsupervised learning. Stay ahead of the curve by continuously engaging with the latest research in computer vision and deep learning. Contribute to a high-impact, multidisciplinary project combining machine learning, microbiology, and photonics to revolutionize microbiology quality control About you Required qualifications/ experience : We value curiosity, initiative, and a growth mindset — not every box needs to be ticked to apply. Education & Background: PhD, Master’s degree (or equivalent) in Data Science, Computer Science, Engineering , or a related field Experience (professional or academic) in Computer Vision and/or Deep Learning M inimum 7 years of professional experience Technical Skills: Solid bibliographic knowledge with the ability to identify, analyze, and apply cutting-edge research. Hands-on experience with PyTorch for building and deploying deep learning models. Practical experience in at least one key domain: semantic segmentation, image generation, or unsupervised learning. Strong coding fundamentals and clean code practices Soft Skills & Mindset Ability to navigate and contribute in multi-disciplinary environments, including client-facing or cross-functional discussions Proactive, execution-oriented mindset — you take ownership and make things happen We don’t expect you to know everything from day one. What matters most is your curiosity , drive to learn , and willingness to dive into challenges . Why joining us? Work in an innovative and rapidly growing startup. Participate in exciting and impactful projects. Evolve in a collaborative and stimulating work environment. Opportunities for professional development and continuous training. What we offer We believe that flexibility and trust are important parts of a company. Our work environment reflects this thanks to: Flexible remote : If you live in Paris, you can work from our office or from your place with no constraints. On top of that, we offer many perks such as: a budget for remote work equipment a Gymlib subscription for you to stay in shape wherever you are premium health insurance (Alan in France) a Swile card for your meals, if you are based in France frequent team events and in-person gatherings every quarter! Recruitment process 30-min call with the Hiring Manager 45-min personality interview with two team members A 1 hour technical case study followed by a debrief with team members 1 hour Founders interview Reference calls You might also be invited to meet other team members at the office for a lab visit and a coffee ! This is a unique opportunity for someone who thrives on curiosity and has a genuine passion for technology. If you enjoy taking on challenges and solving complex problems, this role will provide the perfect environment for growth and impact. The ideal candidate is someone who is self-driven, eager to learn, and excited to contribute to shaping the future of microbiology monitoring. Join our innovative and dynamic team, and let's make a difference together! We look forward to meeting you! Department Machine Learning Team Role Data Scientist Locations Paris Remote status Hybrid Employment type Full-time