Senior Data Scientist - NLP (x/f/m) - AI Teams

Posted 19 Days Ago
Be an Early Applicant
Paris, Île-de-France
Senior level
Healthtech • Software
The Role
As a Senior Data Scientist at Doctolib, you will leverage NLP and AI to develop innovative ML-driven features for healthcare professionals. Your role involves developing, testing, and deploying models, and collaborating with teams to improve product functionalities based on user insights.
Summary Generated by Built In

What we do

Join a team of passionate and hardworking entrepreneurs to transform healthcare! 

By leveraging advanced AI and machine learning techniques, our Data Science team ensures high accuracy, reliability, and seamless integration of these technologies into existing workflows. This enables us to provide around-the-clock access to healthcare services, ensuring that patients receive the care they need when they need it. Our team is dedicated to continuous improvement, pushing the boundaries of what AI can achieve in the healthcare sector.

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 Data Scientist, you'll play a critical role in developing and implementing cutting-edge AI/ML-driven features that will power the products used by Healthcare Professionals in their day to day job.

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

You will build AI/ML services to power Doctolib products for healthcare professionals. You will leverage textual data, from documents or generated by users, to automate or simplify administrative, financial and clinical daily tasks. Also, you will carry out explorations to better understand how users use our product, to orientate the roadmap of Product teams.

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

Are you convinced that you have exactly what it takes for the position? Then we encourage you to apply. Even if you don't meet every requirement, you might be exactly the right future Doctoliber for this or other positions!

You could be our next teammate if you:

  • Have analytical skills, are result oriented and user first
  • Have 5+ years of significant experience in NLP, and a solid knowledge of latest NLP architecture (transformers, LLM)
  • Have already deployed models to production environments
  • Have an appetite for mentoring and helping your teammates upskill

Now, it would be fantastic if you:

  • Are at ease to collaborate with ML engineers to take into consideration production constraints
  • Have experience in other ML methodologies : recommendation, experimentation or causal inference.

What we offer

  • Free Health Insurance for you & your family
  • Up to 14 days of RTT
  • Parental care program (1 month off in addition to the legal parental leave and 0,5 days off per child when the school starts)
  • Wellbeing program (free mental health and coaching offer with our partner moka.care)
  • 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 
  • Lunch voucher with Swile card
  • Work Council subsidy to refund part of sport club membership or creative class
  • Bicycle subsidy

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 A copy of your criminal records (“extrait de casier judiciaire B3”) 
  • Offer!


Job details

  • Permanent position
  • Full Time
  • Workplace : Paris area
  • 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(at)doctolib.com for inquiries or to exercise your rights.

Top Skills

Python
SQL
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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