Ocwen - Manager - Data Science

Department Icon Data Science Analytics & Machine Learning
Posted: 1 year ago
2-6 years
Any Location
Data Science Analytics & Machine Learning
work from office
Full Time

Posted: 1 year ago
Let Jobaaj One apply for you

An AI agent that applies to roles like this on employers' own sites. 25 applications free, no card needed.

Job Description
Similar Jobs
Please verify your account first! Send OTP

Posted over 15 days ago, so the role may have closed. Confirm on the employer's page when you apply, or see similar jobs.

Job Description

Position Summary:

We're seeking a Data Scientist to support the development and deployment of machine learning models and analytics solutions that improve decision-making across the mortgage lifecycle-from acquisition to servicing. In this hands-on role, you'll contribute to building predictive models, customer segmentation tools, and automation workflows that enhance operational efficiency and customer outcomes. You'll work closely with senior data scientists and cross-functional teams to translate business needs into well-scoped modeling tasks, with opportunities to apply natural language processing (NLP), statistical modeling, and experimentation frameworks in a regulated financial environment. This role reports to a senior leader in Data Science.

Job Functions and Responsibilities:

  • Develop and maintain machine learning models and statistical tools for use cases such as risk scoring, churn prediction, segmentation, and document classification.
  • Collaborate with Product, Engineering, and Analytics teams to identify data-driven opportunities and support automation initiatives.
  • Translate business questions into modeling tasks and contribute to the design of experiments and success metrics.
  • Assist in building and maintaining data pipelines and model deployment workflows in partnership with data engineering.
  • Apply techniques such as supervised learning, clustering, and basic NLP to structured and semi-structured mortgage data.
  • Support model monitoring, performance tracking, and documentation to ensure compliance and audit readiness.
  • Contribute to internal best practices and participate in peer reviews and knowledge-sharing sessions.
  • Stay current with developments in machine learning and analytics relevant to mortgage and financial services.

Qualifications:

  • Minimum education required: Masters or PhD in engineering/math/statistics/economics, or a related field
  • Minimum years of experience required: 2 (or 1, post-PhD), ideally in mortgage, fintech, or financial services

Required certifications: None

Specific skill or ability needed:

  • Experience working with structured and semi-structured data; exposure to NLP or document classification is a plus.
  • Understanding of model development lifecycle, including training, validation, and deployment.
  • Familiarity with data privacy and compliance considerations (e.g., ECOA, CCPA, GDPR) is preferred.
  • Strong communication skills and ability to present findings to technical and non-technical audiences.
  • Minimum software or applications experience required/preferred
  • Proficiency in Python (e.g., scikit-learn, pandas), SQL, and familiarity with ML frameworks like TensorFlow or PyTorch.
  • Minimum experience required using mobile technology: None
  • Any other requirements an ideal applicant needs to have that is not covered by above: None

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.

Skills

Data ScienceData ManagementData ScientistData AnalyticsAnalyticsMachine LearningStatisticsPythonNLPSQLStatistical ModelingPythonData PrivacyData ScienceMachine LearningStatistical ModelingData ScientistAnalyticsMlSql

If a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.

Similar Jobs

View all
Loading...

Looking for something similar?

Bag Logo
Jobaaj
Get jobs like this by email

New Data Science Analytics & Machine Learning roles in Any Location.

Job Alert
Google hiring for Specific Roles Apply Now!
1 min ago
New Opportunity
Amazon is hiring freshers Apply Now!
5 min ago
Featured Jobs
Microsoft opening 50+ positions Apply Now!
10 min ago

One email a day. Unsubscribe any time.