Data Scraping Jobs Near Me

Data Scientist | Columbus, Ohio, United States 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.