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Lead Data Scientist

This job posting is no longer active.

Location: Flower Mound, TX, United States
Date Posted:
Req ID: R00933123-OTHLOC-662

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Lead Data Scientist 

Full Time Perm 

Location: Hybrid or Remote 


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.

This position will report up through the Enterprise Data & Analytics Organization and function as a technical consultant in Data Science organization in order to:  

  • Build and run advanced analytics models leveraging Machine Learning and Statistics 

  • Perform data exploration and data mining  

  • Serve as an expert in translating complex data into key strategy insights and valuable actions  

  • Discover business narratives told by the data and present them to other scientists, business stakeholders, and managers at various levels  

  • Develop and test heuristics  

  • Create business intelligence, dashboards, visualizations, and/or other advanced analytics reports to adequately tell the business narrative and offer recommendations that are practiced, actionable, and have material impact, in addition to being well-supported by analytical models and data.  


Your responsibilities may include, but are not limited to:  

  • Serve as a mentor and coach to other Data Scientists in the organization 

  • Design new processes and build large complex data sets

  • Conduct statistical modeling and experiment design

  • Test and validate predictive models

  • Conduct scalable data research on and off the cloud


Minimum Qualifications 

  • 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 

Preferred Qualifications 

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

  • Experience working with data engineers and architects  

  • Experience leading a team of analytics professionals and aligning to a common goal  

  • Knowledge of Data governance techniques in the analytics space  



The preceding description is not designed to be a complete list of all duties and responsibilities required of the position. 

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Inclusion & Diversity 
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 and take into consideration diversity within your Team/Customers and external work partners by valuing different world views, challenges, and cultures that represent 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, age, marital status, sexual orientation, gender identity, genetic information, or any protected group status as defined by law. Each employee is expected to abide by this principle.

By applying, you may be considered for other job opportunities. 

Safety Statement
Promote a safe work environment by actively participating in all aspects of our employee safety program.  Report any unsafe conditions and take actions to prevent personal injuries.  Support our interdependent safety culture by ensuring the safety of your co-workers.  Stay focused on the task at hand and promote productivity through good work habits.

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