Senior Data Scientist

Senior Data Scientist

Full Time Perm

Shift: Hybrid - 3 days on location

Salary:  $113,500 - $170,300, plus 8% annual bonus

Location: Columbus, OH

NiSource is one of the largest fully regulated utility companies in the U.S., serving millions of customers across six states. We’re more than an energy provider—we’re a team committed to innovation, inclusion, and growth. At NiSource, you’ll find a workplace that encourages collaboration, supports professional development, and empowers employees to make an impact.

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 Sr. Data Scientist will report up through the Enterprise Data and 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 ML, AI and statistical models that create value for the organization

• Supports and may lead recommendations from ideation to delivery of solution

• Coaches, reviews and delegates work to professionals with less experience

• Able to work independently, with guidance in highly technical situations

• Communicate effectively to stakeholders with minimal oversight

• 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 or equivalent work experience

• 4+ years of experience as a data scientist, data analyst, or similar role  

• 4+ years of experience coding in statistical and database languages (SQL, Python, R, Spark, etc)  

• 4+ years of experience using machine learning such as NLP, image recognition, boosted trees, or related duties 

Preferred Qualifications

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

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As a public utility, NiSource is required to provide continuous service to customers at all times. To ensure we fulfill that obligation, employees may be required to work outside their normal work hours and perform tasks outside of their normal responsibilities in support of emergency operations.

Work Authorization

Authorized to work in the United States without requiring sponsorship.

Workplace Connection
Value inclusion within your day to day responsibilities by respecting others perspectives/convictions, engaging others opinions, creating a safe environment where people, ideas, and opinions are valued within your Team/Customers and external partners.

Respect the unique lived experiences within your Team/Customers and external work partners by valuing different world views, challenges, and cultures that represents all walks of life and all backgrounds.​

Treat others with respect and consideration. Actively participate in creating and contributing to a positive work environment.

Equal Employment Opportunity 
NiSource is committed to providing equal employment opportunities in each of its companies to all employees and applicants for employment without regard to race, color, religion, national origin or ancestry, veteran status, disability, gender,