Senior Data Scientist

Founded in 2003, Bramcolm, LLC has been at the forefront of IT solutions for two decades, consistently delivering innovative technology services to clients across diverse industries. With a strong presence in Indianapolis, IN, Bramcolm has built a reputation for excellence in the IT services and consulting industry.

At Bramcolm, we are committed to leveraging advanced technologies such as AI, machine learning, and data analytics to solve complex business challenges. We work closely with clients to understand their unique needs and tailor our services accordingly. We value creativity, technical excellence, and a collaborative approach to delivering transformative solutions.

The Bramcolm team is seeking a Senior Data Scientist
who’s excited to develop innovative solutions and prototypes that enable reliable operation of modern power grid systems. You’ll collaborate with engineers, operators, and fellow data scientists to lead complex initiatives leveraging AI, machine learning, and advanced analytics for predicting grid disturbances, optimizing power flow, and improving system resiliency.

The right person will blend deep expertise in data science, machine learning, and statistical analysis with an understanding of power systems, renewable energy integration, and electric grid operations. If this sounds like you, we’d love to talk.

Given our support for a diverse range of clients in the energy sector, you will have the opportunity to engage in projects spanning various domains and technologies. This diversity demands exceptional flexibility and adaptability. You will need to quickly understand new data sources, business processes, and technical requirements unique to each client’s operational environment.

• Play a pivotal role in advanced research and experimentation to improve predictive fault analysis, state estimation, contingency analysis, and power flow optimization for grid operations
• Apply statistical, analytical, and programming skills to process and interpret streaming grid data, identify patterns and root causes, and provide actionable insights for real-time decision making
• Develop and implement machine learning models for predicting grid disturbances and optimizing system performance
• Conduct hypothesis testing, regression analysis, and forecasting specifically for electric power grid applications
• Leverage supervised/unsupervised learning, deep learning, large language models (LLMs), natural language processing, and physics-based AI techniques for electric grid network analysis
• Work with IIOT, SCADA, and other industrial data systems to build resilience modeling solutions
• Partner with engineers and fellow data scientists to implement ML models with MLOps best practices in production environments
• Utilize big data, distributed and high-performance computing, and cloud technologies for scalable analytics solutions

• Collaborate with internal leaders and external stakeholders to identify data-driven opportunities that enhance grid reliability, particularly related to renewable energy, large loads, and power flow stability
• Communicate complex findings through clear, impactful visualizations and presentations tailored to both technical and non-technical audiences
• Support strategic planning and operational decisions through actionable insights and recommendations
• Translate complex datasets into business value through advanced visualization techniques

• Mentor team members in AI, machine learning, and cloud tools while fostering a culture of innovation and accountability
• Stay current with emerging data science trends and technologies in the energy sector
• Lead complex, data-driven projects from conception through implementation
• Continuously learn and adopt new tools, technologies, and methodologies to stay ahead of the curve

• Master’s degree in Data Science, Computer Science, Statistics, Engineering, Physics, Mathematics, or a related field
• Minimum of 5 years of experience leading impactful, data-driven projects using advanced…