Seeking a Data Scientist to support a client in the Indianapolis, Indiana area.2 year contractNo C2CDescription:From the manager: Machine learning within the Azure environment. Power energy data. Predictive modeling. Optimization techniques. Version control practices and managing code bases. Communicate with both technical and non-technical folks. Very data and analytics focused. Load forecasting based on granular data. Access to using NeuralProphet. Want a Masters Degree level candidate. 5+ years equivalent to a Masters Degree.Skills:Data science, Machine learning, Python, Data, Predictive modelling, Data analysis, AlgorithmAdditional Skills & Qualifications: Job Description: Identifies trends and patterns in data and provides recommendations for improvement, optimization, and value opportunities. Applies understanding of data and its interaction with applications to troubleshoot, analyze root causes, and recommend solutions. Desired Skills: advanced machine learning models and algorithms to analyze power industry data related to market operations. Conduct in-depth research and experimentation to enhance predictive modeling, forecasting, and optimization techniques specific to energy markets. Implement version control practices to manage codebase efficiently and collaboratively. Effectively communicate findings and results to both technical and non-technical stakeholders through reports and presentations. Education Requirements: MastersExperience Level:Expert LevelAbout TEKsystems: We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
