Staff Data Scientist

About This Role

This Staff Data Scientist role drives data strategy for the Home Lending Sales division at SoFi, focusing on predictive insights, data governance, and sales force optimization. The position leverages complex datasets to improve business efficiencies and production within Mortgage and Home Equity.

Responsibilities

• Develop and oversee predictive models to identify 'likely to transact' cohorts within the bank’s existing member base.
• Apply predictive models to improve sales efficiencies and develop novel lead programs for customer retention and member capture.
• Help define 'Single Source of Truth' datasets for Sales Strategy & Analytics, partnering with Data Science for synergistic reporting.
• Design and implement data collection and productionize ongoing strategic business datasets.
• Act as a technical data leader, partnering with Sales Strategy & Analytics to design and action on complex dataset needs.
• Mentor and disseminate best data practices with less experienced team members.
• Partner with cross-functional teams (Sales, Marketing, Incentive, Finance, Operations, Risk, Engineering & Product Development, Compliance) to align objectives and implement data-driven strategies.
• Build strong relationships with stakeholders and present insights regularly, communicating findings to technical and non-technical audiences.

Requirements

• Masters’ degree or above in quantitative areas (Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field)
• 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 working independently and proactively engaging with business stakeholders to drive measurable business impact
• Strong programming skills in SQL and Python with direct experience in dataflow automation
• Direct experience in building predictive response models to support and drive efficiencies within customer lead and marketing programs
• 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 skills
• Experience in project management and cross-functional team leadership

Qualifications

• Master’s 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.

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.

Skills

* Required skills

Benefits