What are the responsibilities and job description for the Senior Data Scientist position at Hydrogen Group?
Job Title: Data Scientist - Power Systems
Job Description:
We are seeking a Data Scientist with deep expertise in power systems to support utility operations, grid modernization initiatives, and data-driven engineering efforts. The ideal candidate combines strong data science skills with a solid understanding of electric transmission and distribution systems, enabling them to derive actionable insights that enhance reliability, efficiency, and resiliency.
Key Responsibilities:
Develop and implement advanced analytics, machine learning, and statistical models to solve complex problems in power system operations, asset management, and grid planning.
Analyze large volumes of operational and engineering data (SCADA, AMI, outage, DER, GIS) to detect patterns, forecast performance, and optimize system behavior.
Collaborate with engineering, operations, and IT teams to identify high-value use cases and deliver practical, data-driven solutions.
Leverage domain knowledge in power systems to inform data feature engineering, model interpretation, and stakeholder communication.
Support the development of digital twins, grid simulations, and predictive maintenance models.
Contribute to the design and implementation of scalable analytics pipelines and cloud-based solutions.
Present findings to both technical and non-technical audiences, translating insights into business recommendations.
Stay up to date on emerging technologies, tools, and trends in utility analytics and the energy sector.
Required Qualifications:
Bachelor's degree in Electrical Engineering, Power Systems, Data Science, Computer Science, or a related field (Master's or Ph.D. preferred).
7 years of experience in data science, analytics, or applied research roles, with at least 3 years in a utility or power systems context.
Strong understanding of electric power systems, grid operations, or utility engineering (e.g., load flow, protection, reliability, DER integration).
Proficiency in Python, R, or similar tools for data analysis and modeling.
Experience with data visualization tools (e.g., Power BI, Tableau, Plotly).
Familiarity with SQL and cloud platforms (e.g., Azure, AWS).
Excellent problem-solving, communication, and collaboration skills.
Preferred Qualifications:
Experience working with utility-specific datasets such as SCADA, OMS, AMI, or GIS.
Knowledge of utility industry standards, regulatory frameworks, and planning practices.
Familiarity with tools like PSS/E, CYME, OpenDSS, or PSCAD.
Exposure to real-time analytics, edge computing, or IoT in grid environments.
What We Offer:
Competitive compensation and benefits.
A mission-driven culture focused on safety, sustainability, and innovation.
Opportunities to work on impactful projects shaping the future of the grid.
Professional development and training support.
Flexible and hybrid work arrangements.
If you are a data-driven professional with a passion for power systems and utility analytics, we encourage you to apply!
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