Senior Data Scientist
Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Sep 16, 2026. Verkor scores A on the Alion truth index.
The senior data scientist is responsible for turning data into insights, predictions and decision-support models that help the business reduce uncertainty, improve performance and scale decision making. As senior, he/she is responsible to derive KPI’s aligned to business strategy, focus on translating the business problems, into analytical questions and build data driven solutions.
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