
Senior Industrial Data Scientist
1 week ago
We are seeking a highly skilled Advanced Analytics and Machine Learning Specialist to join our team. In this role, you will be responsible for designing, building, and deploying machine learning models for predictive maintenance, process optimization, demand forecasting, and asset performance management.
\- Develop and manage data pipelines for ingestion, transformation, and storage using tools such as Apache Spark, Airflow, or Kafka.
Work with large-scale datasets sourced from industrial systems to derive insights and inform strategic decisions. Collaborate with domain experts to frame data science problems relevant to operations, manufacturing processes, logistics systems.
\Key Responsibilities\- Perform Exploratory Data Analysis (EDA) to understand data patterns and data readiness for Machine learning use cases.
- Deploy models in cloud or hybrid environments and monitor performance using MLOps best practices.
- Build and maintain visual dashboards and analytics reports using Power BI, Tableau, or Python-based frameworks.
- Communicate insights effectively to business and technical stakeholders.
Strong proficiency in Python and ML libraries (Scikit-learn, TensorFlow, PyTorch, XGBoost, etc.). Experience in Computer vision, Image processing, NLP and multi model techniques.
\Experience with data wrangling and processing large datasets using SQL, Pandas, Spark, or similar. Solid understanding of machine learning, time-series forecasting, statistical modeling, and MLOps practices.
\Experience with LLM fine-tuning, vector databases, or industrial NLP applications. Experience deploying models on cloud platforms (AWS, Azure, or GCP) using tools such as SageMaker, Vertex AI, or Databricks.
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