Data Scientist

US IT Recruiter | Connecting Exceptional Talent with State & Private Clients | Creating Impact Through Strategic Hiring JOB DESCRIPTION TECHNICAL SKILLS Must Have Direct experience with SQL programming and large database applications such as Oracle, DB2, SQL Server, SPSS, Teradata, and Hadoop In lieu of a Master's degree, a Bachelor's degree with a minimum of 5 years of work experience in analytics or data science Master's degree in Decision Sciences, Statistics, Applied Mathematics, Engineering, Computer Science, or Information Systems, Operations Research, or a STEM degree AND a minimum of 3 years of work experience in analytics or data science. If the candidate has a PhD, no work experience is required. Job Summary: We are 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. The Team You 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 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. Conduct research on cutting‑edge techniques and tools in machine learning/deep learning/artificial intelligence. Determine requirements that will be used to train and evolve deep learning models and algorithms. Influence product teams through presentation of data-based recommendations. Perform other duties as assigned. Basic Qualifications Master's degree completed by Fall 2025 in Computer Science or Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a STEM degree 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 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 Sage maker) Experience with machine learning environments (e.g., TensorFlow, scikit‑learn, caret) Seniority level Mid‑Senior level Employment type Full‑time Job function Engineering and Information Technology Industries IT Services and IT Consulting #J-18808-Ljbffr