Senior Data Scientist

BH-273535
  • Good
  • France Ile De France Paris
  • Contract
  • Alternative & Renewable Energy
  • Hydrogen
Senior Data Scientist – 12 Months Contract – Central Paris, France

Hybrid working 3 days on site, 2 days remote

Must be fluent in Frent and English

Successful experience of at least 5 years experience within Data Science

CV's in English to me by Friday 21st June 

Start of date: July/August 2024

ESSENTIAL: - Must have good command of Git and first experience in a DevOps context (CI/CD, with GitHub or similar), an appetite for software craftmanship / clean code. Experience working with Computer Vision (and LLM).  Respect MLops best practices (versioning, monitoring). Nice to have knowledge of micro-services, experience in AWS/Azure cloud technologies, experience in hexagonal Architecture.  Must have mastery of statistical and mathematical tools, mastery of programming languages (Python preferably) and underlying data processing libraries, ability to collect, clean and analyse structured or unstructured data, understanding of the main data processing algorithms machine learning and their applications. Proven experience in deep learning, especially in computer vision.

My large global client is looking for a Senior Data Scientist with experience in Computer Vision (and LLM)

Data Science consists of extracting, analysing and leveraging data from various sources, in order to solve business problems or create new opportunities. The skills required to carry out a Data Science service are as follows:
 
  • Master Data Exploration techniques to collect, clean and prepare data with a posture that aims to support the profession in the ideation phase.
  • Know how to perform exploratory and descriptive analysis of data, using statistics and visualizations, to identify trends, correlations, anomalies, opportunities for optimization or value creation.
  • Design, develop, test and deploy Data Science models adapted to business issues, using various approaches (Optimization, Machine Learning, Computer Vision, Generative AI, etc.).
  • Respect MLops best practices (versioning, monitoring, CI/CD, etc.) to ensure the quality, reliability and security of models in production.
  • Document and present the results of analysis and models to internal stakeholders using appropriate supports (reports, dashboards, etc.).
  • Contribute to technological choices and innovation.

Senior Data Scientist cross-functional contributions:
 
  • Participate in the design/maintenance of new tools/packages common to the organization.
  • Challenge the team’s vision.
  • Participate in CoPs (Communities of Practice) and team rituals.


With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining and Manufacturing sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.

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