Senior manager, data scientist and machine learning engineer

POSITION SUMMARY: We are seeking a highly skilled and motivated individual contributor to join our Data Science and Analytics team as a Senior Manager based in India. This hands-on role requires deep expertise in SAS programming, with a strong focus on statistical modeling to support our mortgage and consumer lending businesses. The ideal candidate will be able to contribute immediately by developing and maintaining complex SAS models and collaborating with cross-functional teams to deliver data-driven insights. In addition to advanced SAS programming skills, the candidate should possess a working knowledge of Python to support broader analytics, process automation, and data engineering initiatives. JOB FUNCTIONS AND RESPONSIBILITIES Design, develop, and maintain statistical and machine learning models using advanced SAS programming. Build and optimize SAS-based reports and data pipelines to support business operations and decision-making. Streamline and automate existing modeling, reporting, ETL processes to improve efficiency, scalability, and accuracy. Analyze model performance and identify opportunities for improvement and optimization. Collaborate with cross-functional teams (Marketing, Sales, Finance) to define analytical requirements and deliver actionable insights. Support customer segmentation, campaign analytics, and marketing file generation. Ensure compliance with data governance, privacy, and regulatory standards. EDUCATION / EXPERIENCE Minimum education required: Bachelor’s degree in Statistics, Computer Science, Engineering, Mathematics, or a related field. Preferred education: Master’s (or Ph D) degree in a quantitative discipline. Minimum years of experience required: 7+ years in data analytics. Ideal candidate alsoas some experience in marketing and/or mortgage analytics (but not required). Specific skills or abilities needed: Expert-level SAS programming is mandatory, including SAS macro language and experience with modeling procedures. Strong proficiency in SQL and Microsoft Office. Working knowledge of Python for data manipulation, automation, or exploratory analysis. Solid foundation in statistical modeling and data analysis. Ability to translate business objectives into analytical solutions. Excellent communication skills for both technical and non-technical stakeholders. Experience in financial services or mortgage industry is a plus. COMPANY SUMMARY Ocwen Financial Solutions Private Limited is a wholly owned subsidiary of Onity Group Inc., a leading non-bank mortgage servicer and originator providing solutions through its primary brands, PHH Mortgage and Liberty Reverse Mortgage. PHH Mortgage is one of the largest servicers in the United States, focused on delivering a variety of servicing and lending programs. Liberty is one of the largest reverse mortgage lenders in the U. S., dedicated to education and providing loans that help customers meet their personal and financial needs. Onity Group Inc. and its subsidiaries are committed to helping homeowners and delivering exceptional service and value to customers, clients and investors. At Onity Group Inc., we consistently deliver on our commitments to customers, clients, investors and colleagues through caring service, integrity and creative solutions. This Service Excellence philosophy is embraced by meeting service standards we call CARE, which stands for Caring, Accurate, Responsive and Empowered. We expect all employees to interact and engage our colleagues and our customers with respect, courtesy and professionalism, and to achieve results consistent with our CARE standards. Onity Group Inc. is intensely focused on hiring, developing and retaining the best talent in the industry Our commitment to Diversity, Equity & Inclusion ensures that we sustain our reputation as an outstanding place to work, a great business partner and a valued community member. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. Visit jobs.onitygroup.com for details.