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Niche senior ML/IIoT skills and solution-architect focus reduce applicant density.
Core ML skills transferable but IIoT and industrial domain expertise increase domain specificity.
Requires deep ML/IIoT expertise and specific tech stack, leading to strict technical filtering.
Design and develop advanced data science and analytics solutions for IIoT platforms, focusing on large-scale industrial and telemetry data.
Own development, scalability, accuracy, and quality of analytical models and predictive algorithms to support business decision-making.
Contribute to long-term AI/ML and analytics platform strategy and ensure reliability and performance of solutions.
Bachelor’s or Master’s degree in Mathematics, Data Science, Statistics, Computer Science, or related field.
Strong programming expertise in Python and experience with Python tools: Jupyter, pandas, NumPy, SciPy, scikit-learn.
Practical experience in quantitative statistical analysis of large, industrial datasets and developing scalable, performance-critical algorithms.
Experience with Apache Spark and Databricks preferred; knowledge of CI/CD and automation in analytics workflows; experience with IIoT data processing is advantageous.
Experienced in architecting and implementing scalable data science solutions in industrial or IIoT domains, handling large-scale telemetry data.
Demonstrates strong ability to translate business needs into reliable data-driven insights and predictive analytics.
Skilled in cross-functional collaboration involving engineering, analytics, and product teams, contributing to architecture and reusable frameworks.