6 Nave Bayes Jobs

8+ years of experience in Life Science / Pharmacy Hands on experience in statistical programming languages like R, Python, Good to have experience in Thingworx analytics and database query languages like SQL, Hive and Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage. Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators etc. Good knowledge of machine learning methods like k-Nearest neighbors, nave bayes, SVM and decision forests. R OR Python + ML + Regression + classification + clustering + SVM (support vector machine) + decision trees / random forest.

About Northern Trust Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889. Northern Trust is proud to provide innovative financial services and guidance to the world's most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world's most sophisticated clients using leading technology and exceptional service. Function: Model Validation Responsible for contributing to the validation of a complex quantitative risk models or capital ...

As a Staff ML Scientist at Visa, you will have a unique opportunity to engage in cutting-edge Applied AI research within the realm of data analytics. You will play a pivotal role in driving Visa's strategic vision as a leading data-driven company. Your responsibilities will involve formulating complex business problems into technical data challenges, collaborating closely with product stakeholders to ensure the practicality of solutions, and delivering impactful prototypes and production code. Key Responsibilities: - Experiment with various datasets, both in-house and third-party, to evaluate their relevance to business objectives - Build data transformations for structured and unstructured ...

Join a team recognized for leadership, innovation, and diversity. You must have a Ph.D. or Master's degree in Computer Science, Engineering, Applied Mathematics, or a related field. Exposure to the Finance domain and use cases in a larger global enterprise setting is required. Additionally, you should have a minimum of 8 to 10 years of Data Science prototyping experience using machine learning techniques and algorithms such as k-means, k-NN, Naive Bayes, SVM, and Decision Trees, with proficiency in Python and/or R tool-stack. Moreover, a minimum of 8 to 10 years of Machine Learning experience of physical systems is expected. You should also possess a minimum of 4 to 6 years of experience wit...

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources levera...

The Staff ML Scientist position at Visa offers a unique opportunity to engage in cutting-edge Applied AI research within the realm of data analytics. As a key member of the team, you will play a pivotal role in driving Visa's strategic vision as a leading data-driven company. Your responsibilities will involve formulating complex business problems into technical data challenges, collaborating closely with product stakeholders to ensure the practicality of solutions, and delivering impactful prototypes and production code. You will have the chance to experiment with various datasets, both in-house and third-party, to evaluate their relevance to business objectives. Moreover, your role will en...