This is a contract role through Magnit Global for Consumers Energy. This is a Onsite role /Jackson, MI.
Data Scientist— Contractor
The Data Scientist will be responsible for utilizing data science methodologies to produce a model(s) that accurately (80%+) identify energy theft cases utilizing a variety of datasets, including work order information, smart meter consumption data, and outage data. This individual will be well-versed in neural networks and other machine learning techniques and they must have the ability to describe technical details in a manner that is understood by non-technical individuals. They must also be able to resolve data issues. The Data Scientist should be able to provide demos of working solutions. They must be able to prepare and present models and dashboards for all levels of the company, including directors, managers, vice presidents, and front-line employees.
The Data Scientist must have excellent interpersonal skills, as they may work internally or externally depending on their projects. It is vital they are proficient in machine learning, database design, and data science methodology. Python, R, and SQL are necessary for this role. Also, they must be able to articulate to others the details behind their outputs. The Data Scientist must possess excellent problem solving skills, and proficiency in Microsoft products is also recommended.
The selected Data Scientist will have taken the leadership role on multiple complex data problems and be able to explain their results. We are looking for someone that can explain their approach and what factors were considered along the way. Ideally this person can tell us the story of a complex data problem they worked on from beginning to end.
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Requirements
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This is the pay range that Magnit reasonably expects to pay for this position: $58/hour - $78.57/hour.
Benefits: Medical, Dental, Vision, 401K (provided minimum eligibility hours are met).
All qualified applicants will not be discriminated against and will receive consideration for employment without regard to protected veteran status, disability, race, color, religion, sex, age, sexual orientation, gender identity, or national origin.
