Senior Data Scientist

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

Read the full posting.

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