Sr. Data Scientist – Remote at NiSource #vacancy #remote

Sr. Data Scientist – Remote Full Time Perm Way of Work : remote Salary Range: $91,000 – $136,600, plus annual bonus 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 Sr. Data Scientist will report up through the Enterprise Data and 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 business narratives told by the data and present them to other scientists, business stakeholders, and managers at various levels Develop and test heuristics Create and run models Perform data exploration and data mining 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: Solve problems for Stakeholders, under minimal supervision of lead data scientists, construct problem frames in order to understand the analysis context and scope that will providetimely, useful results. Serve as SME in Project Teams and participate in multidisciplinary analytics project teams. Create recommendations that are practical, actionable, and have material impact, in addition to being well-supported by analytical models and data. Find automation opportunities within the primary business units that have medium to large efficiency gains Support lead Data scientist in partnership relationships Minimum Qualifications Bachelor’s degree or equivalent work experience 3+ years of experience as a data scientist, data analyst, or similar role 1+ years of experience coding in statistical and database languages (SQL, Python, R, Spark, etc) 1+ 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 Disclaimer The preceding description is not designed to be a complete list of all duties and responsibilities required of the position. #DataSci #DS #DataScientist #Remote #Ohio #Columbus #OhioMeansJobs #SQL #Python #Spark #MachineLearning #ML #DataGoverance #NLP #SrDataScientist #Remote #TechJobs #NowHiring #Chicago #DiversityInTech #LeadDataScientist #AI #Remote Work Authorization Authorized to work in the United States without requiring sponsorship. 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. Salary Range: $125,800.00 – $188,600.00 Posting Start Date: 2024-06-10 Posting End Date (if applicable): Please note that the job posting will close on the day before the posting end date. At NiSource, you’ll be part of the team serving nearly four million customers throughout the Midwest and Mid-Atlantic, who count on us to energize their homes and businesses. Whether speaking with customers by phone, analyzing financial data or installing new gas lines in a neighborhood, you’ll meet exciting challenges each day and make the most of your skills and talents. And you’ll be part of a company that was named by Forbes magazine as one of America’s Best Large Employers. We’re looking for talent from all backgrounds. We invite candidates of all abilities to come as they are and do what they love. Through our years of successful growth, we’ve stayed true to our roots by making a difference in the lives of millions of our customers. If you’re interested in joining an inclusive, innovative company that fosters opportunity for growth, NiSource might be the place for you.

statistics Apache Spark Computer Science Data Engineering automation physics remote work data governance data-mining Machine Learning Engineering Team Leader Project management Business Intelligence (BI) Natural language processing (NLP) mathematics Data Science Python Problem-solving R Data Architect SQL visualization Analytics heuristics

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