Job Description

Citizens’ Enterprise Data & Analytics (ED&A) organization is seeking an experienced Data Scientist to provide analytics leadership related to Mortgage sales and strategy with a focus on proactively retaining existing customers and acquiring new customers via application of data/programming/models/analytics to support sales outreach and optimization. Initial focus is on driving growth through the Enterprise Smart Leads operation that centralizes sales lead generation with a coordinated approach to customer outreach. The Mortgage Sales & Strategy Principal Data Scientist will be responsible for generating, distributing, assessing and optimizing data-driven sales leads provided to virtual and retail Mortgage Loan Officers to enable proactive customer outreach. Skills required include a range of analytical functions (computer and statistical programming, data management, data exploration/visualization, feature engineering, statistical analysis) and business functions (stakeholder engagement and communication, strategy development, analyzing/presenting results, process improvement).

The optimal candidate will possess strong programming, analytical, and communication skills, and demonstrate ability to provide analytics leadership with business stakeholders and work well in a team environment. As the Principal Data Scientist, you will work independently as the primary point of contact for Mortgage business partners as well as working within the broader Enterprise Smart Leads team at the direction of a Data Science Manager. This person will develop expertise on all Mortgage sales-related data; develop, execute, and maintain programs to generate customized, data-driven Mortgage-focused leads; develop/implement/present analyses aimed at optimizing performance; and lead reporting and communications with management regarding performance and strategy. Given the focus, knowledge of the home lending area and experience with home lending data is a plus, but is not required. Experience in the financial services industry is preferred.

Smart Leads operates as an Agile team within the Enterprise Data and Analytics organization, working closely with other teams involved in various customer communications.

In this role, you will:

• Conduct customer segmentation analyses and scoping to support Mortgage lead strategy development, assessment and revision.
• Apply advanced analytics to engineer customized, data driven, timely sales leads focused on Mortgage retention and acquisition
• Apply advanced analytics to continually optimize lead distribution across Virtual/Retail loan officers.
• Apply advanced analytics to maximize production via provision of an optimal number and mix of leads across channels.
• Apply advanced analytics to develop and optimize lead scoring/prioritization within an overall sales lead strategy framework.
• Undertake Mortgage lead program investigation and evaluation on an ongoing basis. Prepare performance updates and special analyses.
• Regularly engage with Mortgage business partners to remain tightly aligned on shifting business strategies and discuss application of data and analytics to Mortgage strategy and sales.
• Oversee ongoing execution and generation of data driven Mortgage sales leads.
• Maintain and improve processes/programs for generating and delivering sales leads and other related information flows
• Manage and analyze call disposition data to optimize lead selection and assess performance
• Document and communicate analytic insights for both technical and non-technical audiences, often within an Agile working structure
• Develop and implement experimental designs to meet business objectives
• Continuously innovate through exploration of new techniques, platforms and data sources
• Automate various standard procedures including data flows, monitoring, & quality control

Technical Qualifications

• Master’s (or beyond) in a quantitative discipline such as Statistics, Mathematics, Computer Science, Data Science/Analytics, Economics, Finance or related fields
• Strong programming skills and ability to utilize a variety of data/analytic software languages/tools (e.g., SQL, Python, SAS, R, etc.)
• Strong written and verbal communication skills required with an ability to communicate analytic results, business insights and resulting business implications to non-technical business partners
• Ability to work in a team environment and collaborate with colleagues who have a background in statistics, database development/maintenance, and information technology
• Ability to lead productive engagements with business partners from an analytic perspective
• 4-7 years of experience in Analytics particularly with Financial Services applications

Hours & Work Schedule

• Hours per Week: 40
• Work Schedule: Monday - Friday
• Hybrid: 4 days per week on site, 1 day remote

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague’s or a dependent’s reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Equal Employment and Opportunity Employer

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Background Check

Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.