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Arolytics

Verified Job Source

Operational Efficiency via Strategic Emissions Management.

Calgary, Alberta

Oil and Gas
11–50 people

About

Arolytics is a software and consulting company on a mission to optimize oil and gas operations, cut emissions, and boost profitability through intelligent, data-driven solutions. ------------------------ 🌐 How We Help • AroIQ – Emissions <> SCADA Platform: AroIQ integrates operational and emissions data to enable remote, digital emissions management - including detection, causation, duration, prioritization, and prediction of emission events. Link operations and environment team workflows and significantly lower the cost and effort for both parties. • AroViz – LDAR Management Platform: A powerful system that unifies multi-sensor data, inspections, and workflows, enabling efficient desk-top review and providing year-over year, basin to facility-level confidence. • OGMP 2.0 L5 Reconciliation: A code-based service that delivers highly efficient, transparent, statistics based, and repeatable results. • Expert Emissions Advisory: Backed by 10,000+ site visits, peer-reviewed publications, multi-sector collaboration, and recognition organizations such as Forbes and SPE, our team delivers on your unique emission reduction challenges. 🚀 Our Impact • Designed methane management programs for 6,500+ North American facilities over 7 years. • Evaluated 125+ monitoring technologies. • Trusted by producers, midstream & downstream operators, regulators, technology providers, and consultants to manage, forecast, report, and reduce emissions globally. 💡 Why Arolytics? We fuse deep oil & gas expertise with cutting-edge digital tools and a sensor-agnostic approach. 📩 Reach us at [email protected] to learn how a pilot can deliver value in < 1 month.

Open positions

Senior Data Scientist

Remote · Calgary, Alberta, Canada

Own end-to-end customer engagements by analyzing raw SCADA data to build defensible emission detection and quantification models. Collaborate with engineers and customers to translate physical process operations into auditable data models.