We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results.
Title and Summary
Senior Data ScientistOverview The Cyber and Intelligence Platform Data Science team is responsible for creating deep learning Artificial Intelligence (A.I.) and Machine Learning (M.L.) models. The models generated are production ready and created to back specific products in Mastercard's authentication and authorization networks. The Data Science team is also responsible for developing automated processes for creating models covering all modeling steps, from data extraction up to delivery. In addition, the processes are must be designed to scale, to be repeatable, resilient, and industrialized.
You will be joining a team of Data Scientists and engineers working on innovative A.I. and M.L. fraud detection and anti-money laundering solutions. Our innovative cross-channel AI solutions are applied in Fortune 500 companies in industries such as fin-tech, investment banking, biotech, healthcare, and insurance. We are pursuing a highly motivated individual with strong problem-solving skills to take on the challenge of structuring and engineering data and cutting-edge A.I. model evaluation and reporting processes.
Role As a Senior Data Scientist, you will: * Work closely with the business owners to understand business requirements, performance metrics regarding data quality and model performance of customer facing products * Work with multiple disparate sources of data, storage systems, and building processes and pipelines to provide cohesive datasets for analysis and modeling * Generate and maintain and optimize data pipelines * Deliver data through reliable pipelines for use in modeling * Oversee implementation of pipelines
All About You
Essential Skills: * Data engineering and data science experience * Experience building machine learning models (graph neural networks preferred) * Knowledge of model optimization techniques and the ability to work closely with data scientists to implement and optimize models within big data pipelines * Experience with deep learning frameworks (TensorFlow, PyTorch, Keras) and familiarity with data science and machine learning concepts * Experience with SQL language and one or multiple of the following database technologies: PostgreSQL, Hadoop, Netezza, Spark. * Good knowledge of Linux / Bash environment * Pyspark * Good communication skills * Highly skilled problem solver * Exhibits a high degree of initiative * At least an undergraduate degree in CS, or a STEM related field.
Nice to have: * Graduate degree in CS, Data Science, Machine Learning, AI or a related STEM field * Experience in with data engineering in PySpark on petabyte scale data * Understands and implements methods to evaluate own work and others for error * Loves working with error-prone, messy, disparate, unstructured dataIn the US, Mastercard is an inclusive Equal Employment Opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. If you require accommodations or assistance to complete the online application process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
Abide by Mastercard's security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance), flexible spending account and health savings account, paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 10 annual paid U.S. observed holidays, 401k with a best-in-class company match, deferred compensation for eligible roles, fitness reimbursement or on-site fitness facilities, eligibility for tuition reimbursement, gender-inclusive benefits and many more.
Our Purpose
We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results.
Title and Summary
Senior Data ScientistOverview The Cyber and Intelligence Platform Data Science team is responsible for creating deep learning Artificial Intelligence (A.I.) and Machine Learning (M.L.) models. The models generated are production ready and created to back specific products in Mastercard's authentication and authorization networks. The Data Science team is also responsible for developing automated processes for creating models covering all modeling steps, from data extraction up to delivery. In addition, the processes are must be designed to scale, to be repeatable, resilient, and industrialized.
You will be joining a team of Data Scientists and engineers working on innovative A.I. and M.L. fraud detection and anti-money laundering solutions. Our innovative cross-channel AI solutions are applied in Fortune 500 companies in industries such as fin-tech, investment banking, biotech, healthcare, and insurance. We are pursuing a highly motivated individual with strong problem-solving skills to take on the challenge of structuring and engineering data and cutting-edge A.I. model evaluation and reporting processes.
Role As a Senior Data Scientist, you will: * Work closely with the business owners to understand business requirements, performance metrics regarding data quality and model performance of customer facing products * Work with multiple disparate sources of data, storage systems, and building processes and pipelines to provide cohesive datasets for analysis and modeling * Generate and maintain and optimize data pipelines * Deliver data through reliable pipelines for use in modeling * Oversee implementation of pipelines
All About You
Essential Skills: * Data engineering and data science experience * Experience building machine learning models (graph neural networks preferred) * Knowledge of model optimization techniques and the ability to work closely with data scientists to implement and optimize models within big data pipelines * Experience with deep learning frameworks (TensorFlow, PyTorch, Keras) and familiarity with data science and machine learning concepts * Experience with SQL language and one or multiple of the following database technologies: PostgreSQL, Hadoop, Netezza, Spark. * Good knowledge of Linux / Bash environment * Pyspark * Good communication skills * Highly skilled problem solver * Exhibits a high degree of initiative * At least an undergraduate degree in CS, or a STEM related field.
Nice to have: * Graduate degree in CS, Data Science, Machine Learning, AI or a related STEM field * Experience in with data engineering in PySpark on petabyte scale data * Understands and implements methods to evaluate own work and others for error * Loves working with error-prone, messy, disparate, unstructured dataIn the US, Mastercard is an inclusive Equal Employment Opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. If you require accommodations or assistance to complete the online application process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
Abide by Mastercard's security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance), flexible spending account and health savings account, paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 10 annual paid U.S. observed holidays, 401k with a best-in-class company match, deferred compensation for eligible roles, fitness reimbursement or on-site fitness facilities, eligibility for tuition reimbursement, gender-inclusive benefits and many more.
