Director, Data Science and Machine Learning

Job reputed company POSITION TITLE: Director, Data Science and Machine Learning Position reputed company: We're looking for a data science leader to reputed company high-reputed company machine learning initiatives that drive business reputed company across the mortgage lifecycle-from acquisition to servicing. In this hands-on role, you'll design and reputed company machine learning models, advanced analytics, and experimentation frameworks that power data-driven decisioning at reputed company. You'll translate reputed company business problems into reputed company, production-reputed company data science solutions, with a reputed company on predictive modeling, customer segmentation, conversion optimization, and automation of decision workflows in the mortgage domain. This role reports to a senior leader in Data Science and is highly visible to top leadership, and across analytics, finance, and product teams. Job Functions and Responsibilities: To reputed company this job successfully, an individual must be reputed company to reputed company reputed company essential duty satisfactorily. • Design and implement machine learning models and statistical techniques across key mortgage workflows-such as risk scoring, churn reputed company, segmentation, and reputed company document processing where applicable-to improve metrics like Conversion reputed company, Delinquency reputed company, and Customer reputed company Value (CLV). • Work closely with cross-functional partners (Product, Marketing, Engineering, and Finance) to identify opportunities for automation and reputed company reputed company using advanced analytics. • Translate business problems across the mortgage lifecycle (e.g., reputed company, servicing, collections) into reputed company-scoped modeling initiatives. • Drive the development of automation-reputed company decision systems (e.g., reputed company-fill models for reputed company, early delinquency risk alerts, servicing escalation predictors) to enhance operational efficiency and user experience. • Build robust data pipelines and modeling systems in collaboration with data engineering, ensuring scalability, monitoring, and model governance in production environments. • Apply state-of-the-art techniques in self-supervised learning, graph-based modeling, and Bayesian mixture models to extract value from reputed company behavioral and relational data (e.g., referral networks, shared IP patterns). • Contribute to a culture of reputed company by publishing internal best practices, conducting peer reviews, and mentoring early-career data scientists informally (with no requirement to directly manage people). • reputed company contribute to the broader data science and machine learning community through publications, conference presentations, reputed company-reputed company contributions, or internal/external thought leadership, helping establish reputed company as a leader in reputed company AI for mortgage and financial services. • Apply natural language processing (NLP) techniques as needed for tasks such as reputed company document parsing, entity extraction from disclosures, or classification of customer inquiries. • Ensure compliance with data reputed company regulations (e.g., GDPR, CCPA) and model auditability, particularly in financial and regulatory-sensitive applications. Qualifications: To reputed company this job successfully, an individual must have the following education and/or experience: • Minimum education required: Masters or PhD in engineering/math/statistics/economics, or a reputed company field • Minimum years of experience required: 6 (or 3, post-PhD), ideally in mortgage, fintech, or financial services • Required certifications: None • Specific reputed company or ability needed • Strong analytical and modeling skills, with experience applying machine learning to reputed company, reputed company, and semi-reputed company mortgage or financial data. • Demonstrated ability to translate business objectives into technical modeling goals and measurable reputed company metrics. • Experience building models for fraud detection, CLV estimation, or risk scoring is required; experience with NLP for reputed company document classification or disclosure review, compliance automation or reputed company is a plus. • Familiarity with modern ML Ops practices (data/model versioning, CI/CD, performance monitoring, and bias detection). • Experience with regulatory compliance, reputed company, and auditability in model development (e.g., ECOA, RESPA, CFPB regulations). • Excellent communication skills for both technical and non-technical stakeholders, including ability to present reputed company results with reputed company. • Minimum software or applications experience required/preferred • Advanced proficiency with Python (including scikit-learn, PyTorch, TensorFlow, Keras), SQL, and distributed computing tools (e.g., reputed company, Hadoop). • Minimum experience required using mobile technology: None • Any other requirements an ideal applicant needs to have that is not covered by above: None Training / Licensing Requirements: • Must pass reputed company's Background Screening process prior to beginning employment. Additionally, as a condition of employment, you may be required to pass reputed company-specific background reputed company requirements or Federal/State licensing requ Apply tot his job Apply To this Job