Data Scientist I - Remote
ExternalPrepare for this interview
EliteAI-generated questions, company research, and talking points tailored to this role
About the role
We are seeking a talented Data Scientist who can apply data mining techniques, mathematical and statistical analyses, and machine learning algorithms to large data sets. The data scientist will collect, process, and analyze large data sets to uncover trends, patterns, and insights. They will be responsible for building and evaluating predictive models and algorithms, designing experiments, and interpreting the results for stakeholders. Additionally, data scientists collaborate with cross-functional teams to implement data-driven solutions and ensure the accuracy and effectiveness of data models and analytical methods. The ideal candidate will be comfortable communicating with a wide audience, including business and technical teams. They will have a passion for problem-solving, knowledge sharing, and continuous learning. Day in the Life: Collaborate with stakeholders throughout the business to understand existing processes and identify opportunities for leveraging data to drive solutions. Perform data mining and analysis from various databases to build solutions for optimizing product development, client portfolios, and business strategies. Design and build custom AI/ML models and algorithms applied to data sets for enhancing products and processes. Conduct exploratory data analysis to determine the effectiveness and accuracy of data for application in models and algorithms. Develop and perform A/B testing frameworks to assess model quality and validity. Interpret data analysis, model, and algorithm results to business and technical teams to facilitate decision-making. Design and build predictive models to increase and optimize portfolios, generate revenue opportunities, prevent client attrition, and optimize portfolio segments for timely offers. Develop processes and tools for monitoring and analyzing model performance and data accuracy. Stay updated on industry standards and advancements in data-driven technologies and tools Work in an agile framework as needed Perform duties as assigned.