Direct and optimize data gathering, mining, and processing pipelines across large-scale, multi-source datasets; develop and maintain advanced analytical and machine learning models.
Explore, develop, and implement semantic and intelligent system capabilities—such as AI agents, natural language interfaces, text analytics, and machine learning applications—to improve user experiences and scalability.
Define requirements, scope analysis efforts, and deliver actionable business insights through high-quality, intuitive data visualizations, dashboards, and analytical storytelling.
Lead research and experimentation on algorithm optimization, new modeling techniques, and analytic methods to improve accuracy, scalability, and real-time condition monitoring performance.

Machine Learning & Intelligent Systems (Extensive): Deep understanding of ML algorithms, AI agents, LLM-based workflows, and predictive modeling; ability to design, train, deploy, and validate advanced analytical solutions at scale.
Programming & Data Engineering (Extensive): Strong proficiency in Python (NumPy, SciPy, Pandas, scikit-learn, PyTorch/TensorFlow optional), with experience building production-grade data pipelines and model-serving components.
Data Visualization & Storytelling (Extensive): Expertise in designing insightful, intuitive data visualizations using Power BI, Tableau, Plotly, or similar platforms; ability to communicate complex analytics to technical and non-technical audiences.
Business Statistics & Analytical Thinking (Extensive): Strong statistical foundation and the ability to structure ambiguous problems, identify analytical approaches, and derive measurable, business-relevant insights.
Query & Database Tools (Extensive): Robust experience working with large databases and cloud data environments (AWS, Snowflake); ability to extract, transform, and manipulate data efficiently.

Senior Data Scientist, Cat Foresight

Key skills