Data Scientist

Bring your expertise to a Home Lending Data and Analytics team that partners closely with product marketing and sales to solve complex problems. You will work in a fast-paced matrixed environment where rigorous analysis and practical recommendations promote measurable outcomes. You will help improve customer experience by identifying opportunities clarifying trade-offs and informing decisions with data. If you enjoy hands-on analytics with real business impact this role is for you.

Job summary

As a Senior Associate Data Scientist in Home Lending Data and Analytics supporting the Originations Product team youtranslate data into clear insights and recommendations that guide product decisions and business outcomes. You define success metrics validate data and deliver measurement that stakeholders can trust. You partner with analytics and predictive modeling teams to enable reliable analysis and model development through strong data identification and quality checks. You communicate findings effectively to technical and non-technical audiences so decisions are timely and Posting Standards and

Job responsibilities

• Identify and quantify obstacles to business goals using analytics and data science techniques
• Analyze data to uncover trends drivers and patterns and translate findings into clear narratives that inform decisions
• Define success metrics and measurement approaches that align to product goals and stakeholder needs
• Validate data sources and perform data quality checks to enable reliable analysis and model development
• Extract transform and analyze data from multiple sources using SQL to produce reproducible datasets
• Partner cross-functionally to identify friction points and opportunities and recommend practical improvements
• Surface data-driven opportunities to improve efficiency reduce friction and enhance customer experience
• Gather requirements clarify business questions and align stakeholders on analytical approach and deliverables
• Deliver timely analyses and summaries tailored to the audience and decision context
• Document work share best practices and contribute to team standards for rigor quality and learning
• Maintain strong attention to detail and analytic integrity in a fast-paced environmentJob Posting Standards and

Required qualifications capabilities and skills

• Three years of experience in analytics data science business intelligence or a related quantitative role
• Strong SQL skills including complex querying joins aggregations and data validation
• Proficiency in at least one of the following: Python SAS or R
• Demonstrated ability to translate analysis into actionable insights and recommendations
• Strong written and verbal communication skills for technical and non-technical audiences
• Strong analytical and critical thinking skills with the ability to connect detail to business context
• Ability to manage multiple priorities work independently and deliver high-quality work under time constraints
• Strong interpersonal skills and experience collaborating across teams and functionsJob Posting Standards and Posting Standards and

Preferred qualifications capabilities and skills

• Experience in mortgage banking or financial services
• Experience in stakeholder-facing analytics consulting or strategy work in ambiguous problem spaces
• Experience supporting change initiatives or operational and process improvements through analytics
• Experience designing supporting or evaluating tests or experiments using basic statistical concepts
• Demonstrated interest in continuous learning and adopting new analytical approaches tools or methods

Preferred Background

• Experience in Mortgage Banking or Financial Services is preferred but not required.
• Exposure to consulting strategy or stakeholder-facing analytics work is a plus particularly where requirements are ambiguous and problems are not well-defined.
• Experience supporting change initiatives or operational/process improvements through analytics is beneficial.
• Demonstrated interest in continuous learning and adopting new analytical approaches tools or methods to improve outcomes.
• Experience designing supporting or evaluating tests or experiments using basic statistical concepts.