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Описание вакансии
Текст:
TL;DR
Senior Data Scientist (Python/Databricks): Developing analytical models and production-grade data workflows for industrial datasets with an accent on large-scale data processing, model validation, and translating business questions into data science problems. Focus on distributed processing with Apache Spark, model training with PyTorch or TensorFlow, data quality assessment, and communicating findings to production and business stakeholders.
Location: Grenoble, Auvergne-Rhône-Alpes, France
Company
Verkor develops industrial battery solutions focused on contributing to a sustainable future.
What you will do
- Translate business and production questions into analytical and data science problems, defining success metrics and evaluation criteria.
- Explore structured and unstructured data, identify patterns and anomalies, and assess data quality, completeness, bias, and limitations.
- Transform data for modeling, develop and validate models, and document assumptions, risks, and limitations.
- Build production-grade automation workflows and work with data engineers and the Digital team to operationalize data preparation.
- Interpret analytical findings for non-technical stakeholders and collaborate with operators, production and quality technicians, data scientists, and CAE experts.
Requirements
- 8–11 years of professional experience and a Master’s or PhD in data science, applied mathematics, or statistics.
- Experience working with large-scale datasets in an industrial environment.
- Strong foundations in linear algebra, calculus, probability, and statistics, plus knowledge of distributed systems, data partitioning, and parallel processing.
- Hands-on experience with Databricks, Python, SQL, Apache Spark, pandas, and NumPy for data exploration, feature engineering, and analytical workflows.
- Experience with distributed model training using PyTorch or TensorFlow.
- English and French are both mandatory.
Nice to have
- Experience with knowledge graphs.
Culture & Benefits
- Culture based on contribution, transparent communication, team spirit, and commitment to a sustainable future.
- Stimulating work environment with pleasant offices and a multicultural team.
- Lunch vouchers and financing of 50% of local transportation costs.
- Industry-leading healthcare.
- Opportunities to network with experts worldwide.
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