Data Science Expert

Job Description You will be a part of the FIS Compliance Suite next generation product development initiative, joining a team of highly motivated and focused developers to develop our next generation compliance product. As a Senior Data Scientist at FIS Global, you will play a key role in extracting actionable insights from complex datasets and developing predictive models to support business objectives. Leveraging your expertise in statistical analysis, machine learning, and data visualization, you will collaborate with cross-functional teams to solve challenging problems and drive strategic initiatives. You will be responsible to devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy, analyze data for trends and patterns, and interpret data with clear objectives in mind. You will get an opportunity to work with multiple products and businesses and develop a good understanding of the interesting world of trading and compliance. **Key Responsibilities:** - Define strategies to leverage existing large datasets and integrate new datasets to extend product capabilities and work closely with the data engineers and product engineering teams in the development of data products. - Lead the end-to-end development of predictive models and machine learning algorithms to solve business problems and optimize processes. - Perform exploratory data analysis, data preprocessing, and feature engineering to uncover hidden patterns and trends in large datasets. - Collaborate with stakeholders to define project objectives, develop analytical solutions, and communicate findings effectively. - Work closely with product and solution management teams to understand business use cases and convert into machine learning or gen-AI solutions. - Conduct rigorous model evaluation and validation to ensure the robustness and reliability of predictive models. - Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence to continuously improve methodologies and techniques. - Contribute to the development and implementation of best practices for data management, analysis, and model deployment. **Qualifications:** - Bachelor's or masters degree in computer science, Statistics, Mathematics, or a related field. The company, FIS, is committed to protecting the privacy and security of all personal information that is processed in order to provide services to clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice. You will be a part of the FIS Compliance Suite next generation product development initiative, joining a team of highly motivated and focused developers to develop our next generation compliance product. As a Senior Data Scientist at FIS Global, you will play a key role in extracting actionable insights from complex datasets and developing predictive models to support business objectives. Leveraging your expertise in statistical analysis, machine learning, and data visualization, you will collaborate with cross-functional teams to solve challenging problems and drive strategic initiatives. You will be responsible to devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy, analyze data for trends and patterns, and interpret data with clear objectives in mind. You will get an opportunity to work with multiple products and businesses and develop a good understanding of the interesting world of trading and compliance. **Key Responsibilities:** - Define strategies to leverage existing large datasets and integrate new datasets to extend product capabilities and work closely with the data engineers and product engineering teams in the development of data products. - Lead the end-to-end development of predictive models and machine learning algorithms to solve business problems and optimize processes. - Perform exploratory data analysis, data preprocessing, and feature engineering to uncover hidden patterns and trends in large datasets. - Collaborate with stakeholders to define project objectives, develop analytical solutions, and communicate findings effectively. - Work closely with product and solution management teams to understand business use cases and convert into machine learning or gen-AI solutions. - Conduct rigorous model evaluation and validation to ensure the robustness and reliability of predictive models. - Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence to continuously improve methodologies and techniques. - Contribute to the development and implementation of best practices for data management, analysis, and model deployment. **Qualifications:** - Bachelor's or masters degree in computer science, Statistics, Mathematics, or a related field. The