Analytic Science-Scientist II (Java Developer/Python Developer) FICO

2.0 - 6.0 years

0 Lacs

karnataka

On-site

You will play a crucial role as part of a team of scientists collaborating closely with external clients to develop efficient predictive models, analyze and validate production model behavior, and ensure optimal model performance. This role will provide opportunities to support the internal technology team in model development and engage in sales activities pertaining to the assessment of models for various client environments. Your contributions will involve building and assessing predictive and decision models for deployment in production systems or research. This encompasses analyzing extensive historical data, determining suitability for modeling, data cleanup and filtering, pattern identification, variable creation, selection of sampling criteria, defining and generating performance metrics, conducting experiments with diverse algorithms and models, and assessing performance to determine the most effective algorithms for implementation. You will assist in the deployment of models into production by conducting production data validations and analyzing score distributions of models in production. Additionally, you will apply data mining techniques to thoroughly analyze model behavior and provide support for customer meetings, model construction, and pre-sales activities. Managing projects within time and resource constraints, collaborating with other teams within FICO, and providing high-quality support to facilitate the integration and deployment of analytics software and solutions will also be part of your responsibilities. You may also participate in post-implementation support. The ideal candidate will possess an MS degree in a statistics, engineering, mathematics, computer science, physics, or operations research field. A PhD is preferred. Some relevant industry experience in predictive modeling and data mining or a PhD without related experience is desirable. Proficiency in Perl/Python, C, C++, or Java, along with familiarity with basic software design principles, coding standards, and best practices, is required. Experience in analyzing large datasets, applying data-cleaning techniques, and conducting statistical analyses to comprehend dataset structures is essential. Knowledge of Bayesian networks, PCA, independent component analysis, linear and logistic regressions, inference, estimation, experimental design, neural networks, and SVM is preferred. We offer an inclusive culture that embodies our core values: Acting Like an Owner, Delighting Our Customers, and Earning the Respect of Others. You will have the opportunity to create an impact and enhance your professional growth by leveraging your unique strengths and engaging in valuable learning experiences. We provide highly competitive compensation, benefits, and rewards programs that encourage you to deliver your best every day and be acknowledged for your efforts. Our engaging, people-first work environment promotes work-life balance, offers employee resource groups, and hosts social events to foster interaction and camaraderie.,

Posted 6 days ago

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