Data Scientist @ Aarvi Encon

Job scope:
With the support of the Head of the Digital Services Factory and the Digital Transformation Manager, manage an in-depth evaluation of data platforms that could cover both the needs of Citizen Data scientists and that of experienced data scientists for projects to be delivered on production
Develop models and algorithms related to digital services (production or consumption forecasts, asset preventive maintenance, risk scoring, real-time alerting, document processing, image recognition, natural language processing, etc.)
Work in the complete data science pipeline, from data selection, data cleaning, data storage, model training, data processing, data visualization, and project industrialization
Help frame a growing community of data scientists within the company
Coordinate with different business and functional teams for requirements, model management and monitor outcomes
Technological watch

Must have:
Very good knowledge of data science techniques: supervised and unsupervised training, time series, neural networks, natural language processing and image recognition, etc.
Good knowledge of Python and R, and their respective frameworks
Experience in putting models into production
Experience working with and creating data architectures, Good knowledge of cloud environment, preferably Microsoft Azure
Familiar with agile methodologies (Scrum, Kanban)
Fluent English mastering French is a plus
Nice to have:
Knowledge of Microsoft Azure environment and Databricks is a plus
Knowledge of Azure ML, Dataiku, and / or RapidMiner is a plus
An experience in the Engineering and/or Energy sectors is a plus
Good understanding of product management
Work experience: 4 years of similar experience
Minimum education level: Master of Engineering, Master of Science, or equivalent
Additional Information:
Location: India or France (La Dfense)
Envisioned Start date : January 2022
Envisioned End date : 6 months, can be extended
If Interested, Kindly send your updated resume to [Confidential Information]