What you’ll do

At Doctolib, we're on a mission to transform the way healthcare is delivered by leveraging the power of AI. As a Senior Data Scientist, you'll play a critical role in developing and implementing cutting-edge AI solutions that will simplify the access and quality of care for all.

In this role, you'll have the opportunity to work with a team of talented data scientists, software engineers, ML ops and healthcare professionals to develop and deploy AI models that will have a real impact on people's lives.

You will work at simplifying how patients find their healthcare practitioner, handle their care plan in the long term and work with business team to contribute expansion of Doctolib in several new markets.

Doctolib is looking for a Senior Data Scientist to join our data science team in charge of our patient solutions.

Your responsibilities include but are not limited to:

  • Find the right technical solution to solve the product domain goals
  • Implement your ideas and test them
  • Deploy your algorithms in production guided by our ML platform team
  • Measure the uplift and continuously improve your approach 

Who you are

You could be our next team mate if you: 

  • Have analytical skills, are result oriented and user first
  • Have at least 6 years of experience in the domain of machine learning
  • Have significant experience in using learning-to-rank methods : operational research, lambdamart.
  • Are proficient in machine learning frameworks: scikit-learn, lightgbm, xgboost, pytorch.
  • Have experience with big data frameworks like Spark

Now, it would be fantastic if you: 

  • Have experience in B2C marketplace.
  • Have experience in other ML methodologies : pattern mining, recommendation, experimentation or causal inference.

What we offer

  • Employee share plan for every Doctoliber (BSPCE)
  • Free Health Insurance for you & your family
  • Quarterly or monthly bonus (based on your position)
  • Up to 14 days of RTT (except for Customer Care)
  • 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
  • Wellbeing program (free mental health and coaching offer with our partner moka.care)
  • Lunch voucher with Swile card
  • Work Council subsidy to refund part of sport club membership or creative class
  • Bicycle subsidy
  • Reimbursement of public transportation 
  • Relocation support for international mobilities
  • Slean voucher for home-office furniture

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 DS Director
  • At least one reference check and A copy of your criminal records (“extrait de casier judiciaire B3”) 

Job details

  • Permanent position 
  • Full Time
  • Location:Paris Area
  • Work mode: Hybrid/Onsite
  • Start date asap
  • Remuneration : fix + bonus on objectives (according to your profile)

At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination.

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.

To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process. Join us in building the healthcare we all dream of!

All information provided is processed by Doctolib for application management. For data processing details, click here. 

Please contact hr.dataprivacy@doctolib.com for inquiries or to exercise your rights.

 

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Diversité et inclusion - Contrôle volontaire de l'égalité des chances

Chez Doctolib, la diversité est plus qu'une valeur acceptée : elle est respectée, célébrée et considérée comme un pilier de notre succès.

Nous nous engageons à maintenir un processus de recrutement inclusif et accessible à tous, afin de constituer une équipe qui soit le reflet de la diversité de notre société. En effet, nous croyons fermement que la diversité d'expériences et de perspectives enrichit notre environnement de travail, influence positivement nos politiques, nos produits et, par extension, contribue à révolutionner les soins de santé pour chacun.

Dans cette optique, nous encourageons nos candidats à partager volontairement leur identité de genre. Bien que cette démarche soit facultative, elle est essentielle pour nous aider à évaluer et à améliorer continuellement notre stratégie de recrutement inclusif.

Répondre ou refuser de répondre à la question ne fait pas partie du processus de prise de décision en matière de recrutement. Concrètement, cela signifie que cela n'a aucun impact sur votre candidature. Les informations collectées seront rendues anonymes et resteront confidentielles conformément à notre politique de confidentialité.

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