Senior Data Scientist - Conversational AI (German Speaking)(x/f/m) - AI Teams

Posted 10 Hours Ago
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Berlin
Senior level
Healthtech • Software
The Role
As a Senior Data Scientist at Doctolib, you will enhance the AI phone assistant by improving speech-to-text accuracy and user experience through real-time emotion adaptation. Responsibilities include model architecture design, data collection strategy, algorithm deployment, and performance measurement.
Summary Generated by Built In

What you'll do

At Doctolib, we're on a mission to transform the way healthcare is delivered by leveraging the power of AI. You can play a key role in developing and implementing cutting-edge AI models that power our AI phone assistant for medical practices. The phone assistant allows patients to make, reschedule, or cancel appointments via phone without long hold times, providing more flexibility and around-the-clock access to healthcare services. It addresses a significant challenge in the healthcare sector: managing the high volume of telephone calls in order to improve the efficiency of healthcare professionals in their daily tasks.

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 also develop a conversational flow based on intent classification, information extraction (potentially using LLMs, Agentic Framework or traditional ML techniques) and internal API calls. You will improve user experience by adapting to users’ 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.

Your responsibilities include, but are not limited to:

  • 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.

Who you are

  • 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 applied AI domain
  • Have significant experience with either / or
    • Speech-to-text, Text-to-speech
    • NLP techniques and tools (especially for voice recognition and automation tasks)
    • LLMs and / or Agentic frameworks
  • Have knowledge of the latest NLP architecture (Transformer, LLM) and methods (fine tuning, distillation…)
  • Are proficient in German (mandatory)


Now, it would be fantastic if you: 

  • Have experience in MLOps and large production deployment (service being deployed to hundred of thousands of users) 
  • Have made significant contributions (papers, open source) in the domain.
  • Being proficient in French is a plus.

What we offer

  • 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

The interview process 

  • HR Screen
  • Behavioral Interview with 2 members in Data Science team
  • Technical Deep Dive(Question+Coding)
  • System Design
  • Final interview with the Senior Director of Data&AI
  • At least one reference check and criminal background check
  • Offer!

Job details

  • Permanent position
  • Full Time 
  • Workplace : Berlin or Paris (relocation assistance provided if needed)
  • Start date: asap
  • Remuneration : fix + bonus on objectives (according to your profile)

At Doctolib, we believe in improving access to healthcare for everyone - regardless of where you come from, what you look like. This translates into our recruitment process: Doctolib is an equal opportunity employer. We don't just accept diversity at Doctolib, we respect and celebrate it!

The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability, or place of origin. If you have a disability, let us know if there's any way we can make the interview process smoother for you! 

All the information transmitted via this form is processed by Doctolib for the purpose of managing applications. For more information on how Doctolib processes your application data, click here.

If you wish to exercise your rights or if you have any questions about the processing of your data, you can write to us at [email protected].

Top Skills

Python
The Company
HQ: Île-de-France
3,117 Employees
On-site Workplace

What We Do

Since Doctolib's creation in 2013, we have had one purpose: strive for a healthier world.

1. We aim to improve the daily lives of care teams by providing them with a new generation of technologies and services.

2. We aim to improve health for all, by offering a fast and frictionless journey for all care episodes, creating new ways for people to receive care and empowering them to become actors of their health.

At Doctolib, we are honored to work in the healthcare field and we believe that innovation in healthcare should be handled differently. We apply 4 guiding principles in everything we do:

1. We create helpful solutions for care teams and people.
2. We serve everyone equally and create well-designed and accessible technologies.
3. We team up with our users to strive for a healthier world and act as one team.
4. We protect our users' privacy. It’s their health, their data.

To achieve our purpose, we are assembling a team dedicated to improving healthcare, with a human-centric approach and an entrepreneurial mindset.

www.doctolib.com

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