Data Scientist

About the position

The Data Scientist is responsible for identifying and analyzing data regarding Citadel's members and prospective customers, making recommendations and providing insight to Citadel leadership in critical decision-making that drives attainment of strategic and business objectives, including growth and sales. The Data Scientist will design and create predictive modeling solutions to assist various departments in the planning, management and measurement of product development, customer service, sales and marketing. They will partner directly with the IT team responsible for building and developing data platforms. The Data Scientist will make appropriate data accessible and available for the organization and will be able to develop creative solutions to process large volumes of non-traditional data. They will be responsible for understanding and investigating state-of-the-art techniques in machine learning, predictive modeling, and advanced data analysis. Strong experience using a variety of data analysis methods, using a variety of data tools, with a proven ability to drive business results with data-based insight. Create descriptive, predictive, and prescriptive models and insights to drive impact across the organization.

Responsibilities

• Collaborate with Finance, Risk, Marketing, Retail, Product teams and other Citadel business leaders to determine and prioritize needs for predictive models.
• Analyze a particular use case and recommend an appropriate predictive model solution.
• Mine and analyze data from company databases to drive optimization and improvement of product, channel, marketing techniques, and business strategies.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, and other business outcomes.
• Provide data insights to support the development of Use Cases - partner with the business to capture and document Business Requirements, Business Definitions, Data Definitions, Visual Requirements, and Test Scripts.
• Apply various analytic methods to discover and interpret information about customer and prospective customer behavior from multiple data sources, including Citadel's website, social media, customer account data, data from external partners, and other sources.
• Compile data from multiple data platforms and integrate data into actionable learnings.
• Participate in cross-functional teams.
• Manage relationships with outside service providers and internal stakeholders for efficient and effective results.

Requirements

• 5+ years related data management and analysis experience, including experience in consumer behavior data mining and analysis.
• 3+ years related experience developing database solutions / applications. Retail banking or other financial services/customer service experience preferred.
• Bachelor's degree required. Master's degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, or a related technical field preferred.
• Proficiency in specialized database software.
• Proficiency in Microsoft Office suite.
• 2+ years of experience analyzing large data sets with Python, R, or SAS.
• 2+ years of experience building predictive and descriptive statistical models using machine learning tool kit, Data Robot, Jupyter notebooks, Python, and/or SAS.
• 2+ years of experience data mining and statistical modeling (e.g, regression modeling, clustering techniques, decision trees, etc.).
• 3+ years of experience with structured query language (SQL).
• CRM experience, preferred.
• Experience in production with a Large Language Model (LLM) platform, preferred.

Nice-to-haves

• Demonstrated ability to break down and analyze multi-dimensional business and technical issues.
• Experience in integrating information from a variety of resources, formats and systems.
• Excellent analytical skills.
• Excellent written and oral communication skills.
• Excellent organizational skills.
• Demonstrate adaptability when interacting with internal clients.
• Maintain confidentiality, promote integrity, and support the corporate mission.
• Ability to collaborate on and occasionally lead projects.
• Agile project management preferred.