Overview

We’re looking for a Senior Data Scientist with expertise in both machine learning and electric power systems. You’ll build predictive models and analytics solutions that influence how we plan and operate the power grid, working with complex datasets from DER integration, grid simulations, and large-scale operational sources. Beyond analysis, you’ll lead data science strategy, mentor teammates, and own the full model lifecycle from prototype to production.

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Key Responsibilities

• Model the impact of Distributed Energy Resources (DER) on grid operations, control, and planning using tools such as PSS/E, Matpower, Cyme, GridCal, GridLAB-D, pypower, PSAT, or OpenDDS.
• Design and develop predictive and machine learning models to forecast outcomes and support critical business decisions.
• Build and maintain complex datasets from large, unstructured data sources; oversee automated analytics pipelines in Python.
• Partner with Data Engineers on dataset identification, pipeline review, and database design for unstructured data.
• Work within Databricks and big data platforms to process and analyze data at scale.
• Lead proof-of-concept prototypes, define ML testing strategies, and manage model deployment and monitoring in production.
• Act as data science lead on agile teams; shape overall data science strategy and mentor team members.
• Communicate findings and model outcomes to technical and non-technical stakeholders across the business.

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Qualifications

Required

• Bachelor’s in Electrical Engineering, Mathematics, Statistics, or Computer Science.
• 5+ years in data science or applied analytics.
• Advanced Python skills for modeling, data processing, and automation.
• Hands-on ML experience: model building, validation, and production deployment.
• Strong statistics foundation and experience managing very large datasets.

Preferred

• Experience with power systems tools: PSS/E, Matpower, Cyme, GridCal, GridLAB-D, pypower, PSAT, or OpenDDS.
• Familiarity with DER technologies and grid operations.
• Experience with Databricks, Apache Spark, or equivalent big data platforms.
• Background in energy, utilities, or smart grid environments.

Overview

We are building a team of OT cybersecurity professionals to support the delivery of the OT-ACE (Automated Controls Environment) program for a leading multinational company. This is a hands-on, execution-focused role embedded within a cross-functional team of Product Owners, Deployment Coordinators, and central engineering teams.

The OT-ACE Delivery Engineer will be responsible for translating approved architectural patterns into deployable solutions, supporting day-to-day operational execution, and ensuring that OT environments meet the highest standards of safety, availability, and cybersecurity. Resources will work directly within OT/PCN production environments and are expected to contribute from day one.

 

Key Responsibilities

Solution Engineering

• Translate approved OT architectural patterns and standards into deployable, production-ready solutions.
• Support engineering design decisions while balancing OT safety, availability, and cybersecurity constraints.
• Collaborate with central engineering teams to ensure solutions align with enterprise OT security standards.

OT Admin Zone Architecture

• Implement and maintain OT Admin Zone (OTAZ) architectural patterns in production environments.
• Work with EAZ, DAZ, PAZ, DMZ, and PCN integrations across deployment scenarios.
• Ensure all implementations comply with enterprise OT segmentation and access control standards.

Operational Readiness & Documentation

• Author and maintain Standard Operating Procedures (SOPs), runbooks, and work instructions.
• Produce as-built documentation and supporting evidence required for audit and compliance purposes.
• Ensure documentation standards are met across all deployment phases.

Transition to Operations (TTO)

• Execute structured Transition to Operations activities following deployments.
• Lead or support knowledge transfer sessions to operations and sustainment teams.
• Provide stabilization support and hypercare coverage post-deployment.

Day-to-Day Delivery Execution

• Respond to and resolve support requests during deployment and hypercare phases.
• Work operational tickets within defined SLAs during hypercare windows.
• Contribute to backlog execution in coordination with product and operations teams.

Qualifications

Required

• 3+ years of hands-on experience in OT/ICS cybersecurity or OT network engineering in production environments.
• Practical experience working within PCN (Process Control Network) or equivalent industrial network environments.
• Demonstrated ability to write technical documentation: SOPs, runbooks, as-built records, and compliance evidence.
• Experience supporting or executing structured deployment and transition-to-operations processes.
• Advanced English proficiency (written and spoken) — the role requires daily interaction with international teams.

Technology Experience

Candidates must have hands-on experience with one or more of the following enterprise-approved technologies:

Preferred

• Prior experience deploying or operating OT cybersecurity tools in Oil & Gas, Energy, or other critical infrastructure environments.
• Working knowledge of OT Admin Zone (OTAZ) architecture patterns (EAZ, DAZ, PAZ, DMZ).
• Familiarity with OT/ICS security frameworks: IEC 62443, NIST SP 800-82, or NERC CIP.
• Experience with Purdue Model or equivalent OT network segmentation models.
• Relevant certifications: GICSP, ISA/IEC 62443, CISSP, or equivalent.