Lead Data Scientist
- Location
- Columbus OH Arena District
- Employment
- Full Time
- Work model
- On-Site
- Level
- Senior
- Salary
- $133.4k – $200.1k/yr
- Posted
Skills
About this role
Lead Data Scientist Full Time Perm Shift: Hybrid - 3 days on location Salary: $133,400 - $200,100, plus 10% 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 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.*** #DataSci #DS #DataScientist #Remote #Ohio #Columbus #OhioMeansJobs #SQL #Python #Spark #MachineLearning #ML #DataGoverance #NLP #LeadDataScientist #hybrid #TechJobs #NowHiring #DiversityInTech #WomenImpactTech #NiSource 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,