FIS
Senior Data Scientist II
FIS, Bellevue, Washington, us, 98009
Position Type:
Full timeType Of Hire:
Experienced (relevant combo of work and education)Education Desired:
Doctor of PhilosophyTravel Percentage:
0%Job DescriptionFIS technology processes more than $40 Trillion per year and enables 95% of the world's leading banks. Our Fraud Intelligence team is on the cutting edge of data science and machine learning technology that detects and prevents fraud on a global scale. As a Senior Data Scientist, you will tackle challenges ranging from identity theft to credit card fraud, to money laundering, and more. The technology you build will protect individuals, businesses and financial institutions from fraudsters ranging from individuals up to multinational organized crime rings.The fraud prevention space is fast-paced and rapidly changing. You will work cross-discipline with data scientists, analytics, product, and more. Our ideal candidate not only brings technical skills to the table but has the appetite to dig into deeply complex problems, while learning new skills along the way.About the Team:Build best-in-class ML models to detect and score Fraud, Risk in real-time and generate actionable insights for Financial Institutions and FinTech clients. Own Model Build, monitoring, and maintenance of FIS Financial Intelligence products.Be part of a fast-growing, well-funded startup-y team within a larger company where we are laying the foundation and paving the way toward a customer-obsessed product, design, and engineering culture.What you will be doing:Employ Machine Learning and Artificial Intelligence to create best-in-class Fraud, Risk, and KYC productsAnalyze and extract insights from large internal and external data setsWork with a variety of Data/Data science platforms such as Snowflake, Databricks, MLflow, AWS Sagemaker, leveraging Python, Spark/Scala, SQLWork with ML Engineering and Data Engineering teams to bring models from idea to productionBuild and maintain low-latency fraud, risk modelsWork independently and collaborate with teams across organizations to solve complex problemsCreate and present analyses to internal and external partners and clientsDocument models, write code to track and monitor models and product performanceWhat you will bring:Masters or PhD in Computer Science, Statistics, Decision Sciences, Applied Mathematics, Economics or the equivalent combination of education, training, and work experience.Expert knowledge in Machine Learning, Artificial Intelligence, statistical modelingExpert knowledge with Neural Network frameworks (Keras/TensorFlow, PyTorch, etc.) and traditional ML frameworks (3-5+ years relevant experience)Proficient in data science tools and programming languages such as Python, Spark/Scala, SQLProficient in working with real-time data streams (Kafka, Flink, Azure Stream, Storm, etc.)Experience working with feature stores, ML governance/monitoring, model versioning, A/B and Champion/Challenger setupsExperience or knowledge of cloud-based technology (AWS, Azure, GCP)What we offer you:Opportunities to innovate in fintechTools for personal and professional growthInclusive and diverse work environmentResources to invest in your communityCompetitive salary and benefitsFIS is committed to providing its employees with an exciting career opportunity and competitive compensation. The pay range for this full-time position is $136,190.00 - $228,790.00 and reflects the minimum and maximum target for new hire salaries for this position based on the posted role, level, and location. Within the range, actual individual starting pay is determined by additional factors, including job-related skills, experience, and relevant education or training.Privacy StatementFIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.EEOC StatementFIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics.
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Full timeType Of Hire:
Experienced (relevant combo of work and education)Education Desired:
Doctor of PhilosophyTravel Percentage:
0%Job DescriptionFIS technology processes more than $40 Trillion per year and enables 95% of the world's leading banks. Our Fraud Intelligence team is on the cutting edge of data science and machine learning technology that detects and prevents fraud on a global scale. As a Senior Data Scientist, you will tackle challenges ranging from identity theft to credit card fraud, to money laundering, and more. The technology you build will protect individuals, businesses and financial institutions from fraudsters ranging from individuals up to multinational organized crime rings.The fraud prevention space is fast-paced and rapidly changing. You will work cross-discipline with data scientists, analytics, product, and more. Our ideal candidate not only brings technical skills to the table but has the appetite to dig into deeply complex problems, while learning new skills along the way.About the Team:Build best-in-class ML models to detect and score Fraud, Risk in real-time and generate actionable insights for Financial Institutions and FinTech clients. Own Model Build, monitoring, and maintenance of FIS Financial Intelligence products.Be part of a fast-growing, well-funded startup-y team within a larger company where we are laying the foundation and paving the way toward a customer-obsessed product, design, and engineering culture.What you will be doing:Employ Machine Learning and Artificial Intelligence to create best-in-class Fraud, Risk, and KYC productsAnalyze and extract insights from large internal and external data setsWork with a variety of Data/Data science platforms such as Snowflake, Databricks, MLflow, AWS Sagemaker, leveraging Python, Spark/Scala, SQLWork with ML Engineering and Data Engineering teams to bring models from idea to productionBuild and maintain low-latency fraud, risk modelsWork independently and collaborate with teams across organizations to solve complex problemsCreate and present analyses to internal and external partners and clientsDocument models, write code to track and monitor models and product performanceWhat you will bring:Masters or PhD in Computer Science, Statistics, Decision Sciences, Applied Mathematics, Economics or the equivalent combination of education, training, and work experience.Expert knowledge in Machine Learning, Artificial Intelligence, statistical modelingExpert knowledge with Neural Network frameworks (Keras/TensorFlow, PyTorch, etc.) and traditional ML frameworks (3-5+ years relevant experience)Proficient in data science tools and programming languages such as Python, Spark/Scala, SQLProficient in working with real-time data streams (Kafka, Flink, Azure Stream, Storm, etc.)Experience working with feature stores, ML governance/monitoring, model versioning, A/B and Champion/Challenger setupsExperience or knowledge of cloud-based technology (AWS, Azure, GCP)What we offer you:Opportunities to innovate in fintechTools for personal and professional growthInclusive and diverse work environmentResources to invest in your communityCompetitive salary and benefitsFIS is committed to providing its employees with an exciting career opportunity and competitive compensation. The pay range for this full-time position is $136,190.00 - $228,790.00 and reflects the minimum and maximum target for new hire salaries for this position based on the posted role, level, and location. Within the range, actual individual starting pay is determined by additional factors, including job-related skills, experience, and relevant education or training.Privacy StatementFIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.EEOC StatementFIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics.
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