DATA SCIENTIST - Jeune Docteur / PhD

Paris, Île-de-France
€40000 - €50000 per annum

Data Scientist - Jeune Docteur / PhD
Paris, France
40-50K€


Cette belle startup de 2 ans vient de lever plusieurs millions d'Euros pour continuer sa croissance. Elle a construit une plateforme SaaS qui accompagne les entreprises dans leurs projets IT grâce à de l'Intelligence Artificielle et du Machine Learning.

Ce poste offre la possibilité de travailler sur des sujets NLP et des sujets plus larges de Machine Learning, entouré d'une équipe Data Science en place.

LE POSTE:

  • Encadré par le CTO de la société, vous travaillerez avec une équipe de profils seniors et juniors basé sur Paris
  • Votre background académique et technique vous permettra d'apporter votre expertise du côté Data Science sur des sujets R&D Machine Learning (utilisation de Python à prévoir)
  • Vous travaillerez sur divers algo ML pour optimiser la plateforme sur des problématiques clés dans la roadmap data de la société


VOTRE PROFIL:

  • Un Doctorat en Computer Science ou Data Science/NLP ou domaine relié
  • Vous êtes en recherche de votre premier CDI (afin d'être éligible au CIR)
  • Expertise sur Python ou C++
  • Force de proposition et bon communicant


COMMENT POSTULER :

Si vous êtes intéressé(e), merci de faire part de votre CV via ce site / postuler.

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82861WT
Paris, Île-de-France
€40000 - €50000 per annum
  1. Permanent
  2. Natural Language Processing

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Computer Vision is one of the fastest growing markets in Data & Analytics. While it was on a trajectory prior to the pandemic, the needs we have now have amped up the role Computer Vision plays in our day-to-day lives and businesses who want to keep up or get ahead are paying attention.  Unexpected Businesses Using Computer Vision Some unusual players leaning on these technologies are grocery stores. While some have pivoted to pickup and delivery, others have remained stagnant with yesterday’s shopping habits changed only to individuals in store wearing masks. For those who made the leap to the "new normal", they’re using things like shelf sensors and Machine Learning to automate ordering and determine best placement of a product. Though retail stores are no stranger to video analytics, the rise of Deep Learning and AI offer a more rapid analysis of video for real-time threat assessment. Teaching the machine to watch for crowding, erratic movement, or potential conflict allows for quick reaction or proactive measures to stop a conflict in play. Yet, behind all this Machine Learning and Computer Vision elements are people. Real live humans. And it’s their new normal which is a strong part of the world’s new normal as most everyone shifts and remains online, working remotely. Behaviours are changing and many businesses have differentiated themselves from others by staying ahead of the game.        Five Ways Businesses Are Moving Forward in the New Normal Remote work is here to stay. A jump of 18% of remote working after the pandemic is expected to remain key to many businesses. And nearly three quarters of executives, plan to increase their remote workers. Key components of this new change will be to bring onboard those with strong digital collaboration skills, ability to manage virtually, and reassess how goals and objectives are to be decided. How will businesses keep remote employees engaged, enthused, and feel part of the team when they could be miles or countries apart?Gig Workers as Cost-Saving Measure. As employees move out of office and online, gig workers are a go-to for businesses hoping to move forward and keep costs low. Performance management systems will need to be re-evaluated. After all, if the idea is to keep costs low (read: overhead), then how does the debate about whether or not to offer benefits fit in to the mix?Definitions are Changing. Whether the definition includes ‘critical skills,’ ‘critical role,’ or something similar. What these meant once are changing. Now, the focus is on how to encourage, mentor, or coach employees in professional development skills which can open up a variety of opportunities versus one set path to one set role.Keeping Track Virtually. Though most businesses tend to follow the model of ‘productivity and performance’ over simply hours worked, some organisations passively track their remote workforce. This keeping track can include timeclock software virtually managed to computer usage to monitoring communications. Several benefits of data tracking in this manner could be a boon to HR Managers as it could help to understand employee engagement. But it’s a fine line to traverse.Organisational Redesign Done with Efficiency in Mind. As everything from products to people move online, it’s more important than ever to ensure things like logistics, supply chains, and workflows are designed with efficiency in mind. Computer Vision AI models can help take these systems to the next level as things like grocery shopping, retail, and legacy businesses find their business must go online or pivot in the new normal to survive. In our recently released 2020 Salary Guide we discuss each specialism. What’s working. What isn’t. And how businesses can hire and retain top talent to keep their projects on track and their businesses running smoothly.If you’re interested in Data & Technology, Risk or Digital Analytics, Life Sciences Analytics, Marketing & Insight, or Data Science, check out our current opportunities. Alternatively, you can contact one of our expert consultants if you’d like to learn more. 

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