Senior Data Scientist - Applied AI 2741

We are looking for a Senior Data Scientist to join a high-impact team focused on advanced analytics for manufacturing (machine data, IoT, battery manufacturing). What will you do in this role? Collaborate with business teams to devise Data Science solutions for complex challenges. Perform exploratory data analysis (EDA) with data coming from Data Lakes and Big Data platforms. Develop, maintain, and improve models for Machine Learning, Deep Learning, and Computer Vision (Must Have). Train and optimize models using techniques such as hyperparameter tuning. Build pipelines for model deployment and integration (MLOps is a plus). Communicate insights, results, and findings to stakeholders and product owners. Work in an Agile/Scrum environment (standups, planning, sprints). Essential Requirements: Advanced C1 English. 5+ years of experience. Solid experience in applied ML/DL (8+ years minimum). Experience in Computer Vision (mandatory). Proficiency in Python and modeling with Spark / Spark-ML. Experience working with Big Data. Experience in manufacturing and time-series models (essential). Research background (PhD highly desirable). 2+ years minimum essential experience in research projects. Experience in industrial data: manufacturing / machine data / IoT / battery data. Nice to have: MLOps / production deployment pipelines. Experience with AWS. Knowledge of Databricks or AWS SageMaker. Airflow, CI/CD, GitHub. Power BI or Tableau.