Data Engineer

Responsibilities

• Perform data mining and feature engineering using machine learning techniques
• Extend data infrastructure with third-party sources and enhance collection procedures
• Process, cleanse, and verify the integrity of large-scale datasets
• Perform ad-hoc analysis and build automated anomaly detection systems
• Participate in agile development ceremonies including Scrum and sprint planning
• Communicate daily tasks and technical obstacles transparently within the team

Requirements

• 1 to 3 years of experience in data engineering, data science, or advanced data analytics
• Advanced proficiency in Power BI and Snowflake
• Coding skills in Python (highly preferred) or R
• Experience in IoT analytics, Machine Learning, AI, and time-series analysis
• Solid background in Mathematics and Statistics, including Operations Research
• Excellent oral and written communication skills

About the Company

Platform Science is an open IoT platform that partners with innovative fleets, application developers, vehicle manufacturers, and equipment providers in the transportation industry to deliver revolutionary solutions to supply chain professionals across the globe.