Rackera - Durham, NC
posted 5 months ago
We are looking for a passionate Data Scientist to join our team and help us build the future of forecasting and business planning. In this role, you will be responsible for developing and deploying forecasting models using a variety of techniques, including machine learning, statistics, and data mining. You will be contributing to the codebase of our forecasting engine, which combines data signals and drivers from multiple sources to generate forecasts for various business units. Your work will be pivotal in driving the transformation of our forecasting capabilities by embedding predictive analytics and data science into global decision-making processes, empowering business units with scalable and reusable models. As a Senior Data Scientist, you will also be responsible for designing and implementing data pipelines to collect, clean, and prepare data for forecasting models. This role requires a deep understanding of machine learning models and engineering, advanced statistics, and time series forecasting. You will oversee the ML Ops from a model standpoint, managing data and model drift, retraining models regularly, and upgrading models and associated technical pipelines as necessary. Collaboration with cross-functional stakeholders and subject matter experts throughout the product solution lifecycle is essential to ensure that requirements are met and solutions are fully integrated into business processes to deliver value. This position reports to the Associate Director of Enterprise Analytics and is a long-term contract role based in Durham, NC, with a hybrid work model requiring three days per week onsite. The ideal candidate will have a strong enterprise background, polished communication skills, and the ability to work effectively in a team-oriented environment.