Data Scientist (only W2)

Data Scientist Contract to Hire Location - Columbus, OH - Onsite Summary: Our banking client is seeking a passionate, data-savvy Senior Data Scientist to join the Enterprise Analytics team to fuel our mission of growth through data-driven insights and opportunity discovery. This dynamic role uses a consultative approach with the business segments to dive into our customer, product, channel, and digital data to uncover opportunities for consumer experience optimization and customer value delivery. You will also enable stakeholders with actionable, intuitive performance insights that provide the business with direction for growth. The ideal candidate will have a robust mix of technical and communication skills, with a passion for optimization, data storytelling, and data visualization. You will collaborate with a centralized team of data scientists as well as teams across the organization including Product, Marketing, Data, Finance, and senior leadership. This is an exciting opportunity to be a key influencer to the company's strategic decisions and to learn and grow with our Analytics team. Duties and Responsibilities: • Ability to use advanced analytics methods to extract value from business data. • Ability to perform large-scale experimentation and build data-driven models to answer business questions. • Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence. • Determines requirements that will be used to train and evolve deep learning models and algorithms. • Influences product teams through presentation of data-based recommendations. • Performs other duties as assigned. Basic Qualifications: • Master's degree completed by Spring 2025 in Computer Science or Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a STEM degre or in lieu of a Master's degree, Bachelor's degree with a minimum of 3 years’ work experience in analytics or data science • Experience with R, RStudio, Python, SAS, SQL, NoSQL Preferred Qualifications: • Up-to-date knowledge of machine learning and data analytics tools and techniques • Knowledge in predictive modeling methodology • Experienced at leveraging both structured and unstructured data sources • Willingness and ability to learn new technologies on the job • Work and/or educational experience conducting statistical analysis with advanced statistical software, scripting languages, and packages • Work and/or educational experience with big data analysis tools and techniques • Foundational knowledge of building and deploying predictive models, web scraping, and scalable data pipelines • Understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling • Experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker) • Experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret) • Financial Services background