Senior Data Scientist

Main Responsibilities :

• Turns business questions into analytical and data science problems 

• Defines success metrics and evaluation criteria aligned with business outcomes  

• Analyze and explore structures and unstructured data to identify patterns, trends and anomalies 

• Build production grade automation workflows 

• Assess data quality, completeness, bias and limitations 

• Identify additional data sources needed to improve analysis or models 

• Perform data transformation for modelling purposes  

• Model development and validation 

• Interpret model results and analytical findings in business terms 

• Communicate findings clearly to non-technical stakeholders 

• Document assumptions, limitations and risks of the model 

• Works with operators and production/quality technicians to understand objectives, constraints and decision needs

• Work with data engineers /Digital team to operationalize data preparation when needed.

• Works with data scientists and CAE experts to understand the value of the project and how it links with the roadmap.   

Prerequisites :

• 8 - 11 yrs of Experience  

• Masters or PhD in Data science/ Applied mathematics/Statistics 

• Experience working with large-scale data sets in an industrial environment 

• Strong fundamentals of linear algebra, Calculus, probability and statistics. 

• Solid understanding of distributed systems concepts, data partitioning and parallel processing 

• Hand-on experience using databricks for data exploration, analysis, feature engineering and model training 

• Strong proficiency in Apache spark (dataframes, SQL, ML lib concepts), for large scale data processing,  with hands-on experience in distributed model training using Pytorch or tensor flow.  

• Databricks notebooks (Python/SQL) 

• Experience in Knowledge Graph a plus 

• Strong proficiency in pandas and numpy for exploration, feature engineering and analytical workflows 

• English & French are both mandatory