Data Scientist

Job Summary: Senior Data Scientist – Enterprise Analytics (Banking) Location: Columbus, OH (Remote flexibility) | Job Type: C2C About the Role - Join a high-performing Enterprise Analytics team at a leading banking institution as a Senior Data Scientist. - Fuel organizational growth through advanced analytics, data-driven insights, and opportunity discovery. - Collaborate with cross-functional teams—including Product, Marketing, Data, Finance, and senior leadership—to optimize customer experience, drive business value, and influence strategic decisions. - This is a highly visible role where you will leverage your technical expertise and communication skills to shape business outcomes in a fast-paced, innovative environment. Responsibilities - Design and implement advanced analytics and machine learning models to extract actionable insights from complex business data. - Conduct large-scale experimentation and build data-driven models to answer strategic business questions. - Research and apply emerging techniques in machine learning, deep learning, and artificial intelligence. - Collaborate with business segments to identify opportunities for optimization and customer value delivery. - Translate analytical findings into intuitive data visualizations and persuasive presentations for stakeholders and senior leadership. - Partner with Agile teams throughout the project lifecycle, from ideation to delivery, on high-impact, enterprise-wide projects. - Stay current on new technologies and tools to continuously improve analytics capabilities and solutions. - Perform additional analytics duties as assigned to support organizational goals. Required Skills and Experience - Proficiency in Python and SQL for data analysis, modeling, and pipeline development. - Strong analytical and statistical expertise, comfortable working with predictive models and large datasets. - Experience communicating technical findings to business partners and non-technical audiences. - Master’s degree (or completed by Spring 2025) in Computer Science, Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a related STEM field; OR Bachelor’s degree with 3+ years’ experience in analytics or data science. - Hands-on experience with R, RStudio, SAS, and advanced statistical software. Preferred Skills - Knowledge of machine learning methodologies, predictive modeling, and Bayesian inference. - Experience with big data tools, both structured and unstructured data sources, and scalable data pipelines. - Familiarity with cloud ML technologies (e.g., AWS SageMaker), machine learning environments (e.g., TensorFlow, scikit-learn, caret), and web scraping. - Background in financial services or consumer-centric organizations. - Experience with data visualization tools (Tableau, Adobe Analytics/Target). Benefits - Work alongside a talented, collaborative, and centralized team of data science professionals. - Influence strategic decisions and drive growth at an enterprise level. - Exposure to cutting-edge analytics tools, technologies, and methodologies. - Fast-paced, dynamic environment with significant opportunities for learning and professional advancement. - Impactful projects with visibility to senior leadership and cross-functional partners. How to Apply - If you are passionate about leveraging data to drive business value and ready to make a significant impact, we want to hear from you. - Submit your resume highlighting your analytics, modeling, and communication skills. - Candidates must be authorized to work without sponsorship. - Background check and drug screen required.