Senior Data Scientist

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July 2

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GridMatrix

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Transport • Software • Climate Change

GridMatrix is a cloud-based software platform that transforms existing roadway sensors into a continuous stream of data. Designed for use by traffic engineers, the platform helps reduce congestion and emissions by enhancing signal performance and safety monitoring. By providing real-time data, GridMatrix aims to unlock the potential of existing transportation infrastructure, making it smarter and more efficient for the 21st century.

2 - 10 employees

🚗 Transport

💰 Non Equity Assistance on 2023-03

📋 Description

• Develop, deploy, and manage data pipelines tailored to meet customer requirements. • Optimize cloud infrastructure for cost efficiency, scalability, and performance. • Collaborate with cross-functional teams to implement and measure new features within the cloud and data pipeline environment. • Implement robust and secure data storage solutions, balancing edge and cloud resources. • Manage secondary cloud storage providers for archival storage solutions. • Ensure cloud services are aligned with enterprise standards and best practices for availability and resilience.

🎯 Requirements

• Real-Time Machine Learning Solutions: Demonstrated experience with building real-time machine learning applications, ideally within AWS. • Cloud Infrastructure Management: 4–6 years of experience in a cloud engineering role, with hands-on AWS and enterprise cloud experience. • Edge and Cloud Storage: Knowledge of hybrid cloud storage solutions to balance latency and accessibility requirements. • Secondary Cloud Providers: Proficiency in configuring secondary cloud providers for long-term, archival storage. • Database Proficiency: Strong understanding of database technologies, including PostgreSQL, MySQL, and Cassandra, as well as caching mechanisms to optimize data retrieval. • Containerization and Orchestration: Familiarity with Docker and Kubernetes is a plus. • Bias for Action: Takes initiative and exhibits a proactive approach to problem-solving. • Deadline-Oriented: Demonstrates a commitment to meeting project timelines and delivering quality results on schedule. • Communication & Reporting: Strong skills in documenting and reporting project status and milestones to stakeholders. • Educational Background: BA/BS in an analytical discipline. MS in mathematics, computer science, data science, or equivalent work experience is preferred. • Experience Areas: 4-6 years of experience in cloud engineering, with experience in industries such as IoT, quantitative finance, ad-sales analytics, payments processing, or related fields.