Lead Data Scientist

Full Time Perm

Shift: Hybrid - 3 days on location

Salary: $133,400 - $200,100, plus 10% annual bonus

Location: Columbus, OH

The Data Science organization at NiSource is the recently established advanced analytics arm of the company. We are building a talented team that is leveraging best-in-class tools and techniques to solve our company's highest value analytics use cases. With a strong team culture and commitment to innovative problem solving, the solutions that we build will be a competitive advantage for our company for many years to come.

The Lead Data Scientist will report up through the Enterprise Data & Analytics Organization and function as a technical consultant in data science organization in order to:

• 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

Your additional responsibilities may include, but are not limited to:

• Develops advanced ML, AI and statistical models that create value for the organization
• Leads recommendations from ideation to delivery of solution
• Coaches, reviews and delegates work to professionals with less experience
• Works independently, with guidance in only the most complex situations
• Communicate effectively to senior leadership without oversight
• Influences others regarding policies, practices and procedures
• Collaborates with Business Clients, establish professional relationships in order to understand business needs

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications

• 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

Preferred Qualifications

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

***Please note there is a short open-ended questionnaire to complete regarding your work experience towards the end of the application. This questionnaire can take up 10 - 15 minutes to complete.***

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As a public utility, NiSource provides essential services to customers 24/7. Emergency needs can arise at various times throughout the year, including during storm season. Employees may be required to support emergency response efforts, which could include working outside normal hours or assisting with tasks outside of typical responsibilities.

Work Authorization

Candidates must be legally authorized to work in the United States and must not require employer sponsorship now or in the future.

Workplace Connection
We value a workplace where everyone feels respected, included, and able to do their best work. We encourage open dialogue, value different perspectives, and work collaboratively with employees, customers, and partners.

We recognize and respect the unique experiences people bring, including different backgrounds, cultures, and viewpoints. We treat others with professionalism and care, and we each play a part in creating a positive work environment.

Veteran Hiring & Inclusion

NiSource is proud to support veterans, transitioning service members, and military spouses. We value the leadership, teamwork, and mission-focused experience the military community brings, and we are committed to providing an inclusive workplace with opportunities for professional growth and development.

Salary Range*:
$133,400.00 - $200,100.00

*The salary offered to a candidate is based on several factors including but not limited to the candidate's skills, job-related knowledge, and relevant experience, as well as internal pay equity.

Posting Start Date:
2026-09-24

Posting End Date (if applicable):
2026-10-24Please note that the job posting will close on the day before the posting end date.