What would you be doing
As a member of the data science team, alongside our technical experts, you will be able to:
Understand health data and healthcare insurance dynamics.
Improve our OCR pipeline deployed on insurance claims data.
Work on our NLP pipelines for medical coding inference and patient journey analysis.
Enhance our fraud detection machine learning models.
Scale our proprietary patient journey optimizer based on state-of-the-art optimal transport.
Supervise the implementation and optimization of associated algorithms.
Think about the best ways to test and deploy our machine learning models at scale.
Continuously provide ideas to improve the solution.
Integrate this in our awesome python/pytorch/react/postgresql/django stack.
Participate to client meetings and workshops around data science deployment projects.
Scope clients needs and feedback and translating them to achievable data science tasks.
Preferred Experience
2+ years of experience in Data Science and AI: You are familiar with multiple Deep Learning algorithms, CV, NLP, Document Intelligence.
Experience in consulting or project with internal clients is a plus.
Advanced technical skills in Applied Mathematics, preferably in machine learning, probabilistic modeling, computer science, statistics and/or operations research.
Strong analysis and synthesis abilities, not afraid to deal with details.
Able to write quality production code.
Spanish at a native level is required.
Fluent in English - French is a plus.
Bonus skills
Working on production-grade projects with good software engineering insights.
Experience in deep learning and pytorch.
Previous experience working within an agile framework.
Previous startup or insurance industry experience.
Benefits of working at Qantev
Opportunity to join a challenging environment among top-notch engineers and experienced entrepreneurs.
Develop a deep understanding of the health insurance industry.
Take part in scaling a global tech company.
Remote policy: 2 days remote / 3 days in the office.
International remote policy: work from abroad 10 days per year (2 x 1 week).
Location: 10 rue Auber, 75009 Paris.
Competitive compensation & Equity stake in the company.
Annual company off-site.
Start-up ecosystem benefits
Brand new Macbook
Alan Blue health insurance
Swile (daily lunch vouchers & gift cards)
Navigo reimbursement
Introductory Call - 30-45min
Onsite or Video Technical Interviews - 3 x 60min
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