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Data Science Engineer

CDI
Paris
Salaire : Non spécifié
Début : 28 novembre 2021
Télétravail non autorisé
Expérience : > 3 ans
Éducation : Bac +4

Ipsos
Ipsos

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Le poste

Descriptif du poste

Our company

Synthesio, an Ipsos company, is a global leader in AI-enabled Consumer Intelligence. Our hybrid offering provides companies, brands, and agencies with the most complete, accurate, and predictive picture of their markets and buyers. Our AICI platform, powered by the most advanced natural language understanding and AI algorithms, supports the broadest set of online and offline data sources and fully leverages Ipsos’ award-winning analytical frameworks. Synthesio was founded in 2006 and has offices in New York, Paris, London, Singapore, and Brussels.

Our department

The Synthesio R&D department is focused on data provisioning, enrichment and exploitation.
We crawl 70M posts each day from a plethora of social networks and mainstream press websites. Each document is then analysed and enriched using custom NLP and image recognition models developed by our data scientists. All this data is stored in our databases (1 PB+ ElasticSearch, 750TB+ MySQL clusters, 50 TB+ ScyllaDB) and can be accessed by our customers via our dashboarding solution.

Our stack: Go, Python, NodeJS, MySQL, ElasticSearch, Cassandra (ScyllaDB), Kafka, Gitlab, Docker, Ansible.

Mission

  • Drive high-level algorithm decisions to improve our existing NLP and Computer Vision models such as sentiment analysis, named entity recognition, topic modeling, logo recognition, and scene recognition.
  • Design and implement state-of-the-art NLP and Computer Vision algorithms to support new product features.
  • Work closely with the data engineering team to set up scalable and production-ready model inference pipelines.
  • Work closely with the product team to help define data science features that would be useful to our customers.

Profil recherché

Technical skills

  • Solid understanding of machine learning and deep learning
  • Solid understanding of the fundamentals of algorithms and data structures
  • Proficiency in Python and openness to learning Go
  • Familiarity with the essential machine learning toolkit (scikit-learn, PyTorch, Tensorflow, Keras, etc.)
  • Experience with deep learning for NLP or Computer Vision is appreciated

The job is for you if you are

  • Ability to work in a multicultural environment
  • Intellectual curiosity and passion to discuss consequences of a design choice
  • Good communicator, self-starter and collaborative enthusiast
  • Interested in understanding user needs
  • Independent, self-organizing, and able to prioritize multiple complex assignments
  • Represent the organization and advocate its efforts and capabilities through external presentations and publications
  • Rigour and strong appetite for software quality
  • Work the details from the beginning, not just at the end
  • Fluent in English and French. This includes written, speaking and reading

Benefits

  • Choice between PC or Mac
  • Flat organization and strong culture
  • Remote friendly (being partially or fully remote is possible)
  • International and diverse environment (US, EMEA, APAC)
  • Competitive salary
  • Working in a fast growing company with talented people
  • The best health insurance in France (Alan)

Déroulement des entretiens

  • A 30 minute screening phone call with the hiring Engineering Manager
  • A technical test to assess your data science skills
  • A 60 minute interview to discuss your solution to the test (video call possible)
  • Optional meet & greet (30 minute each) with various members of the team (Product Managers, Frontend and Backend engineers,…) (video call possible)
  • Proposal

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