Data Scientist-Senior Associate

Transform business challenges into data-driven solutions—your insights will fuel growth and competitive advantage.

As a Data Scientist on the Home Lending (HL) Data & Analytics team, you’ll be undertaking advanced analytics to derive actionable insights to support our HL Sales strategy and optimization. You’ll need to combine strong data manipulation, quantitative analysis, business acumen, and a focus on problem-solving to drive meaningful insights that enable the firm to drive incremental value and an outstanding customer experience.

Job Responsibilities

• Deliver advanced analytics and data-driven solutions for a wide range of HL Sales business challenges.
• Work with both internal & external data sources and tools to explore, assemble, organize and analyze data.
• Perform descriptive, diagnostic, and predictive analyses to uncover trends, patterns, and actionable business insights.
• Utilize data visualization tools to communicate actionable insights and tell an effective story to business stakeholders.
• Identify opportunities to develop and enhance business intelligence & automated reporting to facilitate decision making for business partners.
• Build analytical frameworks to support strategic and complex business priorities.
• Collaborate with team members and business/technical partners on the data foundation and the use of AI to automate and develop innovative solutions for the HL business.

Required Qualifications, capabilities, and skills

• Undergraduate or advanced degree in an analytical field (e.g., Computer Science, Economics, Mathematics, Statistics, Engineering, Operations Research).
• 2+ years experience in data analysis / data science.
• Proficiency using SQL, Python, MS Excel and Visualization tools for data manipulation, analysis and visualization.
• Critical thinking and proven ability to connect data analysis to business strategies and deliver results that drive measurable impact.
• Excellent communication & data storytelling skills to effectively summarize & deliver actionable insights to business stakeholders.
• Ability to analyze complex problems, dive deep into data, and design innovative solutions. A relentless curiosity to understand the "why" behind data patterns.

Preferred Qualifications, capabilities, and skills

• Experience with cloud platforms (e.g., AWS, Snowflake) for large scale data processing, plus Salesforce for lead management & sales.
• GitHub for problem solving and collaborative project experience.
• Strong ability and experience using visualization tools, including new products with AI / Gen-AI Data-Talk and natural language capabilities.
• Background in financial services, plus experience in the Mortgage Business.