Senior Data Scientist

Location: Coppell, TX onsite

Benefits and culture

Newrez supports your professional growth with a comprehensive benefits package and a focus on community impact. Expect strong health coverage, robust retirement options, and family-friendly policies, all designed to help you thrive both on the job and at home. The company also promotes continuous learning through tuition and certification reimbursement, and offers programs that support financial security and emergency assistance.

• Medical, dental, and vision insurance
• Health Savings Account with employer contribution
• 401(k) Retirement plan with employer match
• Paid maternity leave, parental bonding leave, and caregiver leave
• Adoption assistance
• Tuition and certification reimbursement
• Employee Mortgage Loan Program
• Newrez Emergency and Disaster Fund to support team members in hardship

Newrez Now and additional perks

• One company-paid Volunteer Time Off day
• Matching Gifts Program up to $1,000
• Access to grants, nonprofit resources, and volunteer opportunities
• More than $6,000,000 donated since 2020
• One in five employees participates in at least one Employee Resource Group

Responsibilities

• Steer the data science and AI roadmap using deep mortgage industry knowledge to identify high-impact opportunities that improve P&L, efficiency, and risk management within regulatory constraints.
• Lead end-to-end architecture, development, and validation of advanced machine learning models and Generative AI solutions to transform underwriting automation, risk assessment, precision marketing, and servicing operations.
• Design robust data pipelines, feature stores, and automated deployment workflows; collaborate with data engineering to scale and maintain reliability for structured data and AI content needs.
• Establish and enforce governance frameworks for model validation and performance monitoring, ensuring compliance with financial regulations (eg, Fair Lending, UDAAP) with transparent executive and regulatory reporting.
• Mentor junior data scientists and foster a culture of technical excellence, accountability, and continuous learning across the organization.
• Effectively and clearly communicate complex information to stakeholders.
• Perform related duties as assigned by management.

Requirements

• Master’s or PhD in a quantitative discipline
• 8+ years of data science experience in financial services or the mortgage industry; online lending experience is a plus
• Comprehensive knowledge of the mortgage lifecycle, including credit risk, underwriting, and servicing
• Expert-level Python and advanced SQL skills for complex data manipulation and analysis
• Proven track record of building and maintaining production ML models; experience leading hands-on transitions of emerging AI (LLMs, RAG, Agentic Workflows) from PoC to compliant production environments
• Strong practical experience with data engineering principles, big data technologies, and cloud platforms
• Excellent verbal and written communication, with strong interpersonal and relationship-building abilities
• Influencing, negotiation, and collaborative work style
• High learning agility to integrate business variables and adapt to new systems and platforms
• Strong analytical and problem-solving skills with sound judgment and decision-making
• Ability to manage multiple priorities under tight deadlines in a fast-paced environment
• Self-directed, comfortable with ambiguity, and professionally mature with confidentiality
• Strong business acumen paired with technical aptitude

Technologies

• Python
• SQL
• Generative AI
• LLMs
• RAG
• Agentic Workflows

Equal employment opportunity

We are proud to be an equal opportunity employer and celebrate the differences of our employees, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and veteran status. Diversity strengthens our team and outcomes.