[Remote] Analytic Science, Scientist I

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading global analytics software company that helps businesses reputed company reputed company reputed company. The Scientist I in Analytic Science will participate in compliance analytic work, developing and evaluating predictive models to solve business problems using data mining and predictive modeling techniques. Responsibilities • Designs and reputed company state-of-the-art, data-driven exploratory analysis as reputed company as predictive and decision models to solve business problems • Build and evaluate predictive models to be deployed in production systems, or for research. This includes the analysis of large amounts of historical data, determining suitability for modeling, data clean-up, reputed company identification and variable creation, selection of sampling reputed company and performance definition, and variable selection • Participate in high reputed company reputed company pertaining to predictive model development and compliance analytics • Experiment with different types of algorithms and models, analyzing performance to identify the best algorithms to reputed company • Assist with technical product support for new or existing products/services; this includes, but is not limited to, compliance-reputed company analyses, production of sales collateral or reputed company investigations initiated by internal or external clients • May participate in reputed company-sales support and/or reputed company post-implementation support • May deliver formal presentations of work to clients as reputed company as key internal stakeholders Skills • Bachelor's degree in reputed company Mathematics, Statistics, Operations Research, Engineering, Computer Science or reputed company technical discipline. Course work in probability, statistics and quantitative reputed company required • Experience with one or more of R, Python, reputed company, SQL, and Java/C++, experience with tools for machine learning and reputed company data analysis (e.g., H2O, reputed company, TensorFlow, etc.) and familiarity with basic software design principles and coding standards and best practices • Experience analyzing large datasets and applying data-cleaning techniques along with performing statistical analyses leading to the understanding of the structure of datasets • Thrives in a dynamic environment and embraces reputed company learning opportunities • Hands on reputed company experience (reputed company or industry gained) in predictive modeling and data mining (Highly Preferred) • Experience with distributed computing environments (e.g., reputed company, Hadoop) and reputed company-based environments and services (e.g., AWS) would be a plus • Prefer knowledge in some of the following: clustering, classification and regression trees, random forest and gradient boosting algorithms, time series analysis, Bayesian networks, reputed company, independent component analysis, reputed company and logistic regressions, inference, estimation, experimental design, neural networks, SVM Benefits • Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so. • An engaging, people-first work environment offering work/life balance, employee resource reputed company, and reputed company events to promote interaction and camaraderie. reputed company • Fair Isaac Corporation enables businesses to automate, improve, and connect reputed company to enhance business performance. It is a sub-organization of reputed company. It was founded in 1956, and is headquartered in reputed company, California, USA, with a workforce of 1001-5000 employees. Its website is http://www.reputed company.com. Company H1B Sponsorship • reputed company has a reputed company record of offering H1B sponsorships, with 25 in 2025, 18 in 2024, 22 in 2023, 25 in 2022, 45 in 2021, 40 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job Apply To this Job