Bayesian Modeler

Job title:

Bayesian Modeler

Company:

Quinten

Job description

Quinten est une société d’experts de l’Intelligence Artificielle au service de l’efficacité des métiers de l’entreprise. Elle bâtit depuis plus de 16 ans des solutions sur mesure d’aide à la décision tirant parti du plein potentiel des données avec un objectif clair et des bénéfices systématiques pour ses clients.Quinten se différencie de ses concurrents directs, non seulement par sa longue expérience multisectorielle, en particulier en santé et en Banque/Assurance et ses choix technologiques résolument tournés vers l’augmentation de l’humain, mais aussi par sa capacité à concevoir, développer et industrialiser de véritables solutions d’aide à la décision, dont certaines sont utilisées par des milliers d’utilisateursGrâce à une capitalisation interne constante et une R&D à la pointe du marché, Quinten trouve les solutions qui font entrer la donnée dans l’amélioration de la performance qu’attendent ses clients. Enfin c’est une société partenaire stratégique de la transformation numérique de plusieurs entreprises de premier plan.Descriptif du posteWithin the Quinten Healthcare subsidiary, you will be part of a team of statisticians and data scientists. In close collaboration with Project Managers and clients you put your expertise to the benefit of the development of Quinten’s activities in the healthcare sector and the execution of projects on several dimensionsPropose analytical strategies to address customer challenges and align with business needs;Plan and execute statistical/modeling studies to achieve the highest degree of client satisfaction using appropriate techniques; initiate, drive, and implement novel methods for Bayesian inference, complex statistical models, and innovative trial designs;Identify and anticipate the technical benefits and risks associated with the analytical approach;Actively participate in exchanges with the client and be a key player in the project, from its framing to the presentation of the results;Provide expertise to support documentation and submission activities, explaining statistical methodologies, and interpreting analysis results;

Participate in scientific dissemination e.g. via abstracts, posters, manuscripts, conferencesParticipate in business development activities, such as proposal writing;In addition to your role as Bayesian Modeler in the project teams, you will also contribute to the evolution of skills and know-how of the company and actively participate in technology watch in order to anticipate technical and commercial opportunities.Profil recherchéA master’s degree + 6-7 years of experience or PhD + 3-4 years of experience in a related and relevant area (statistics, data science, mathematical modeling, biometrics etc…).You have experience in Bayesian statistics and modeling, MCMC practice, Bayesian decision analysis or simulation-based optimization (e.g. Bayesian optimal design)You have experience in advanced statistics including e.g. parametric and non-parametric analyses, mixed-effects models, predictive modeling, network meta-analysis, imputations, advanced survival analysis, multi-state modeling, time series, stochastic processes, machine learning, model selectionYou master Python and/or R programming ;You have synthesis and communication skills allowing you to argue technological choices and explain their risks and benefits ;You have an appetite for knowledge transmission and can explain complex concepts to a non-expert audienceYou have a strong appetite for the field of health ; experience in the health sector is a plusYou have organizational and rigorous qualities, and a taste for teamwork ;You are comfortable in English, both oral and writtenYou master statistical and machine learning libraries (sklearn/caret, pandas/data.table, …) ;You have knowledge of continuous integration (Git versioning, unit tests) ;Experience with Bayesian software such as Stan or PyMC3 is a plusKnowledge of distributed computing (parallelization and/or Spark) is a plus

Expected salary

Location

Paris

Job date

Sat, 10 Aug 2024 03:17:24 GMT

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