Job Description

As a Senior Data Scientist, you will enhance Doctolib’s phone assistant by improving speech-to-text accuracy through fine-tuning while ensuring low latency. You will improve user experience by adapting to her emotions in real time and reducing dropout rates by making the conversation feel ever more smooth, seamless and natural. You will also ensure safety by implementing guardrails that catch prediction errors before they happen, or mitigate their impact. The phone assistant will be the playground where you can do your best work and stay at the edge of innovation.

What you'll do

• Creating, finding or adapting model architecture.
• Designing the right annotation and data collection strategy
• Implementing and putting new ideas to the test to improve model performance and ultimately user experience.
• Running offline model evaluation for various types of models with different metrics.
• Deploying algorithms in production using our state of the art ML platform
• Measuring online performance and continuously refine your approach.

What we expect from you

• Have a Master's or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related quantitative field.
• Have at least 5 years of experience in the domain.
• Have significant experience with speech-to-text.
• Have experience with NLP techniques and tools, which is particularly relevant for voice recognition and automation tasks.
• Have experience working with Large Language Models.
• Have knowledge of the latest NLP architecture (Transformer, LLM) and methods (fine tuning, distillation…)
• Are proficient in German.

Nice to have:

• Have experience in deploying and scaling NLP solutions.
• Have experience with text-to-speech models and large multimodal models.
• Have made significant contributions (papers, open source) in the domain.
• Being proficient in French is a plus.

What we offer

• Employee share plan for every Doctoliber
• Additional health plan scheme with our partner Allianz
• Quarterly or monthly bonus (based on your position)
• Minimum 28 days of paid leave
• Parental care program (1 month off in addition to the legal parental leave and 0,5 days off per child when the school starts)
• Solidarity Days (2 days per year to help health charities and create a positive social impact)
• Wellbeing program (free mental health and coaching offer with our external partner)
• For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support.
• A flexible workplace policy offering both hybrid and office-based mode
• Flexibility days allowing to work in EU countries and the UK 10 days per year
• Reimbursement of public transportation or company car (only for Field Sales & Deployment teams)
• Lunch vouchers and healthy snacks in the office
• Discount on the Urban Sports Club package