Senior Data Scientist

About Bramcolm, LLC

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.

Position Summary

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.

Key Responsibilities

Advanced Research & Predictive Analytics

• 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

AI & Machine Learning Implementation

• 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

Stakeholder Collaboration & Communication

• 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

Technical Leadership & Mentorship

• 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

Required Qualifications

Technical Expertise

• 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 statistical analysis, predictive modeling, and machine learning techniques
• Extensive knowledge in supervised/unsupervised learning, deep learning, large language models (LLMs), and natural language processing
• Hands-on experience with:
  
  • Big data technologies and distributed computing
  • High-performance computing and cloud platforms such as Databricks, Azure, and Apache Spark
  • Machine learning platforms and MLOps tools
• Proficiency in programming languages: Python, R, SQL
• Strong foundation in:
  
  • Multivariate time series data analysis
  • Hypothesis testing and regression analysis
  • Forecasting techniques for electric power systems
  • Statistical modeling and experimental design
• Experience with version control: GitHub or similar platforms

Domain Knowledge

• Understanding of electric grid network analysis (IIOT, SCADA systems)
• Knowledge of physics-based AI and applied mathematical techniques for power systems
• Familiarity with resiliency modeling for electric infrastructure
• Experience with real-time data processing and streaming analytics

Professional Skills

• Strong analytical and problem-solving abilities with exceptional attention to detail
• Excellent communication and presentation skills for both technical and executive audiences
• Proven ability to translate complex technical concepts to non-technical stakeholders
• Demonstrated track record of leading technical initiatives and driving innovation
• Strong project management capabilities and ability to handle multiple priorities

Preferred Qualifications

• Energy industry experience with focus on power systems, grid operations, or utility sector
• Grid simulation experience using tools such as PowerWorld, PSS®E, or similar platforms
• Advanced certifications such as:
  
  • Microsoft Certified: Azure Data Scientist Associate
  • Microsoft Certified: Azure AI Engineer Associate
  • AWS Certified Machine Learning – Specialty
  • Google Professional Machine Learning Engineer
  • Cloudera Certified Data Scientist
• Experience with renewable energy integration and distributed energy resources (DERs)
• Knowledge of power system dynamics, transmission planning, or energy markets
• Familiarity with electrical engineering principles and power flow analysis
• Experience with IoT sensor data and edge computing in industrial environments
• Published research in data science, machine learning, or power systems domains

What We Offer

Professional Growth

• Opportunity to work on cutting-edge AI/ML projects in the critical energy infrastructure sector
• Exposure to emerging technologies and innovations in power systems and renewable energy
• Continuous learning and professional development opportunities
• Mentorship and leadership development programs
• Engagement with diverse projects across multiple client environments

Work Environment

• Collaborative, agile team culture that values innovation and technical excellence
• Flexible work arrangements (remote options available)
• Modern technology stack and access to advanced computing resources
• Direct impact on energy reliability and sustainability initiatives
• Opportunity to contribute to the future of the electric grid

Compensation & Benefits

• Competitive salary commensurate with experience
• Annual performance-based bonus eligibility
• Comprehensive benefits package
• Professional development budget for certifications and training
• Conference and continuing education opportunities

Location & Requirements

• Location: Indianapolis, IN (Remote options available)
• Must be legally authorized to work in the United States
• Must pass background check
• Position may require occasional travel to client sites