Senior Data Scientist
About this role
Main Responsibilities :
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Turns business questions into analytical and data science problems
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Defines success metrics and evaluation criteria aligned with business outcomes
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Analyze and explore structures and unstructured data to identify patterns, trends and anomalies
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Build production grade automation workflows
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Assess data quality, completeness, bias and limitations
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Identify additional data sources needed to improve analysis or models
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Perform data transformation for modelling purposes
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Model development and validation
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Interpret model results and analytical findings in business terms
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Communicate findings clearly to non-technical stakeholders
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Document assumptions, limitations and risks of the model
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Works with operators and production/quality technicians to understand objectives, constraints and decision needs
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Work with data engineers /Digital team to operationalize data preparation when needed.
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Works with data scientists and CAE experts to understand the value of the project and how it links with the roadmap.
Prerequisites :
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8 - 11 yrs of Experience
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Masters or PhD in Data science/ Applied mathematics/Statistics
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Experience working with large-scale data sets in an industrial environment
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Strong fundamentals of linear algebra, Calculus, probability and statistics.
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Solid understanding of distributed systems concepts, data partitioning and parallel processing
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Hand-on experience using databricks for data exploration, analysis, feature engineering and model training
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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.
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Databricks notebooks (Python/SQL)
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Experience in Knowledge Graph a plus
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Strong proficiency in pandas and numpy for exploration, feature engineering and analytical workflows
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English & French are both mandatory
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