Senior Data Science, AI & Analytics Engineer

About Clean Energy Fuels

Clean Energy Fuels is North America's largest provider of renewable natural gas (RNG) and alternative fueling solutions for the transportation industry. We operate a nationwide network of fueling infrastructure that supports fleets across transit, trucking, municipal services, airports, waste management, and other critical industries.

At Clean Energy Fuels, we are investing in next-generation analytics, AI, Industrial IoT, cloud platforms, and intelligent automation to improve operational performance, increase reliability, enhance decision‑making, and support our mission of delivering cleaner transportation energy solutions.

This is not a traditional reporting or analytics role. It is an opportunity to build practical AI solutions, intelligent automation capabilities, modern data products, and operational intelligence platforms that support real‑world business operations, connected assets, field teams, and enterprise decision‑makers across North America.

We offer a competitive compensation and benefits package with compensation between $140,000 -$150,000 for well qualified candidates.

As part of the IoT, Data Science & Advanced Analytics team, you will work on initiatives that directly impact operations, supply chain, finance, environmental reporting, asset performance, predictive maintenance, and business productivity.

At Clean Energy, your work won’t disappear into another advertising algorithm or consumer application. You’ll have the opportunity to solve meaningful business challenges using AI, analytics, automation, and IoT technologies that directly impact real‑world operations, sustainability initiatives, and critical infrastructure across North America.

• Artificial Intelligence and Intelligent Automation
• Industrial IoT and Operational Intelligence
• Advanced Analytics and Data Science
• Cloud Data Platforms and Modern Data Engineering
• Predictive Maintenance, Digital Twin and Asset Performance Management
• Enterprise Reporting and Business Intelligence
• Digital Transformation and Process Automation

You will help build solutions that support hundreds of connected assets, operational facilities, business processes, and decision‑makers across the organization.

This role offers the opportunity to work with modern technologies including Azure Databricks, Generative AI, AI Agents, Power BI, Grafana, cloud analytics platforms, enterprise and third‑party APIs, IoT telemetry, streaming data, and intelligent automation capabilities while partnering directly with business leaders and operational teams.

If you enjoy solving complex problems, building practical AI solutions, modernizing business processes, and creating technology that delivers measurable business value, you’ll find a unique opportunity to make a significant impact at Clean Energy.

Reporting to the Director, IoT, Data Science & Advanced Analytics, the Senior Data Science, AI & Analytics Engineer is a hands‑on technical role responsible for designing, developing, and supporting artificial intelligence, intelligent automation, data engineering, analytics, and operational intelligence solutions across Clean Energy Fuels.

The successful candidate will work across the full solution lifecycle—from business requirements and architecture through development, deployment, and support—to deliver scalable solutions that improve operational visibility, automate business processes, enhance reporting capabilities, and enable data‑driven decision making.

This role combines data engineering, AI enablement, cloud technologies, enterprise integrations, operational intelligence, and IoT analytics to solve complex business challenges across multiple functions of the organization.

• Design, develop, and maintain scalable data pipelines, enterprise data products, APIs, integrations, and analytics solutions using Azure Databricks, SQL, Python, and cloud‑based technologies.
• Develop and support data integration frameworks connecting ERP systems, operational platforms, financial applications, IoT…