Staff Data Scientist

The role:

The Staff Data Scientist is a high-impact leadership role responsible for driving data strategy that powers the Home Lending Sales division, including Mortgage and Home Equity. You will serve as the primary architect of the division’s data-driven culture, turning massive complex datasets into competitive advantages. As a core member of the Home Lending Sales Strategy & Analytics team, your work will directly influence business efficiencies and production via lead program development & optimization, core business strategy dataset development, and overall sales force optimization.

Key Responsibilities:

• Drive Advanced Predictive Insights: Develop and oversee predictive models to identify ‘likely to transact’ cohorts within the bank’s existing member base. You will apply those models to existing lead and marketing programs to improve overall sales efficiencies and help develop novel lead programs to drive improvements in customer retention & member capture.  
• Data Governance & Integrity: Help define the "Single Source of Truth" datasets for Sales Strategy & Analytics, while partnering with Data Science for synergistic reporting efforts. Design and implement data collection and productionize ongoing strategic business datasets.
• Serve as Team Data Leader: Act as a technical data leader partnering with Sales Strategy & Analytics to design and action on complex dataset needs for the business. Help mentor and disseminate best data practices with less experienced team members.
• Cross-Functional Synergy: Partner with teams across Sales, Marketing, Incentive, Finance, Operations, Risk, Engineering & Product Development, and Compliance to ensure alignment of business objectives and the implementation of data-driven strategies. Build strong relationships with stakeholders and present insights on a regular cadence communicating findings to both technical and non-technical stakeholders.

What you’ll need:

• Masters’ degree or above in quantitative areas (Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field); PhD strongly preferred.
• 8+ years of relevant experience leveraging data-driven analysis to influence key decisions and drive business processes, preferably in the financial services industry.
• Proven track record of being able to work independently, and proactively engage with business stakeholders with minimal direction to drive measurable business impact.
• Strong programming skills in SQL and Python with direct experience in dataflow automation; experience with data visualizations like Tableau or other BI tools strongly preferred
• Direct experience in building predictive response models to support and drive efficiencies within customer lead and marketing programs, experience within Home Lending lead programs strongly preferred.  
• Knowledge of Machine-Learning (ML) algorithms, with applicability to different business problems, and experience in deploying ML models at scale in production with monitoring metrics.
• Effective communication and presentation skills and ability to explain complex analyses in simple terms to business leaders;
• Strong relationship building and collaborative skills;
• Exceptional problem-solving; 
• Experience in project management and cross-functional team leadership.

Nice to have:

• Experience building new business process functionalities from the “ground up.”
• Experience developing lead programs and interactive lead monitoring within Salesforce CRM. 
• Management and/or training experience of Junior Data Analysts.