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Data Science Analyst
2 months ago
Job Summary
We are seeking a highly skilled Data Science Analyst to join our team at Genworth. As a Data Science Analyst, you will be responsible for developing and implementing advanced analytics and forecasting models to optimize business processes and provide insights for decision making.
Key Responsibilities
- Collaborate with cross-functional teams to define business questions, prepare data, build predictive and prescriptive models, and communicate its insights and recommended actions.
- Design, create and implement advanced analytics and forecasting models to optimize business processes; provide insights for decision making using Machine Learning and traditional statistical modeling.
- Using large datasets, develop and perform exploratory data analysis and build advanced machine learning models using structured and unstructured data.
- Communicate the ML models and methods in a logical and understandable manner for non-analytical business users and model governance teams.
Requirements
- Master's or PhD student in a quantitative research field such as: Statistics, Econometrics, Computer Science, Demography / Actuarial Science, Mathematics, Data Science, Quantitative Social Sciences, Epidemiology, Engineering, etc.
- Hands-on experience developing solutions using Python (Pandas, Scikit-learn), Spark, database query and management tools (SQL), in a cloud platform.
- Hands-on experience with multiple Machine Learning models, time series forecasting, optimization, and other predictive modeling techniques. ML experience and knowledge of ML platforms, libraries, and programming.
- Strong communication (oral, written, interpersonal, and presentation) skills.
About Genworth
Genworth is a leading publicly traded U.S. private mortgage insurance provider, offering borrower-centric products that enable lenders and other partners across the U.S. to help people responsibly achieve and maintain the dream of homeownership.
By empowering customers and their borrowers, Genworth seeks to positively impact the lives of those in the communities in which it serves in a sustainable way. We value all perspectives, characteristics and experiences, and Diversity, Equity and Inclusion remains at the forefront of what we do.
We are proud to be an equal opportunity employer and all hiring decisions are based on merit, qualifications, and business need. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.