Lead Data Scientist

About the role

NiSource is one of the largest fully regulated utility companies in the U.S., serving millions of customers across six states. The Data Science organization is the recently established advanced analytics arm of the company, building a talented team that leverages best‑in‑class tools and techniques to solve high‑value analytics use cases. NiSource encourages collaboration, supports professional development, and empowers employees to make an impact. The workplace values respect, inclusion, open dialogue, and diverse perspectives, and is proud to support veterans, transitioning service members, and military spouses.

Responsibilities

• Serve as an expert in translating complex data into key strategy insights and valuable actions
• Discover insights from data and present them to other data scientists, business stakeholders, and leaders at various levels
• Perform data exploration and data mining
• Build impactful modeling solutions with AI and Machine Learning techniques
• Develop advanced ML, AI and statistical models that create value for the organization
• Lead recommendations from ideation to delivery of solution
• Coach, review and delegate work to professionals with less experience
• Work independently, with guidance only in the most complex situations
• Communicate effectively to senior leadership without oversight
• Influence others regarding policies, practices and procedures
• Collaborate with business clients, establish professional relationships to understand business needs
• Support emergency response efforts, which may include working outside normal hours or assisting with tasks outside typical responsibilities
• Follow safety requirements, report hazards, and help maintain a safe environment for yourself and coworkers

Requirements

• Bachelor's Degree
• 7+ years of experience as a data scientist, data analyst, or similar role
• 7+ years of experience coding in statistical and database languages (SQL, Python, R, Spark, etc)
• 7+ years of experience using machine learning such as NLP, image recognition, boosted trees, or related duties
• Strong knowledge of cloud platform tools and techniques

Qualifications

• Master's Degree or advanced degree in statistics, data science, physics, mathematics, engineering, computer science, or comparable discipline

Skills

• SQL
• Python
• R
• Spark
• Machine learning techniques (NLP, image recognition, boosted trees)
• Cloud platform tools and techniques

Benefits

• 10% annual bonus (in addition to base salary)

Pay

$133,400 - $200,100

Schedule

Hybrid - 3 days on location