Senior Data Scientist Nisource, Inc. Location: Category: Data
Job details
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
Bachelor's degree in relevant field
3+ years of experience as a data scientist, data analyst, or similar role
3+ years of experience coding in statistical and database languages (SQL, Python, R, Spark, etc)
3+ 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
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