Analytics And Data Science ProfessionalYou will be joining a team of analytics and data science professionals within the Enterprise Data & Analytics organization. Team members are highly skilled in a mixture of R, Python, SAS, SQL, Tableau, and Adobe Analytics/Target to perform modeling, visualization, and advanced analytics. Members of the team primarily support the Digital and Omnichannel organizations but are strategically positioned to partner with and support nearly every part of the company including Product, Marketing, Consumer Sales and Operations, Business and Commercial Banks, Private Client Group, Enterprise Payments, and IT.
We align with our partners within the Agile development framework and support projects throughout their entire lifecycle from ideation through delivery on the largest and most visible projects undertaken at the company. This highly visible and critical role will be set in a fast-paced environment with the ability to influence not just any single project but the overall direction of the organization.Duties And ResponsibilitiesAbility 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 QualificationsMaster's degree completed by Spring 2025 in Computer Science or Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a STEM degreeor in lieu of a Master's degree, Bachelor's degree with a minimum of 3 years’ work experience in analytics or data scienceExperience with R, RStudio, Python, SAS, SQL, NoSQLPreferred QualificationsUp-to-date knowledge of machine learning and data analytics tools and techniquesKnowledge in predictive modeling methodologyExperienced at leveraging both structured and unstructured data sourcesWillingness and ability to learn new technologies on the jobWork and/or educational experience conducting statistical analysis with advanced statistical software, scripting languages, and packagesWork and/or educational experience with big data analysis tools and techniquesFoundational knowledge of building and deploying predictive models, web scraping, and scalable data pipelinesUnderstanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modelingExperience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)Experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)Financial Services backgroundAbout CandidateA curious mind with a thirst for discovery, answers, optimization, and continuous improvementExcellent written and verbal communication skills with a proven ability to interact effectively across all organizational levelsCreative thinker and problem solver, with a strong ability to manage ambiguity/complexityWork effectively in teams as well as independently across multiple tasks while meeting aggressive timelinesExperience working in a consumer-centric company and with teams of technical professionals in a cross-functional environment