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lead data scientist with machine learning
lead data scientist with machine learningMastercard • O Fallon, MO, US
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lead data scientist with machine learning

lead data scientist with machine learning

Mastercard • O Fallon, MO, US
Hace 2 días
Tipo de contrato
  • A tiempo completo
  • A tiempo parcial
Descripción del trabajo

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._

  • Lead Data Scientist

The Security Solutions Data Science team is responsible for creating deep learning Artificial Intelligence (A.I.) and Machine Learning (M.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. You will be joining a team of Data Scientists and engineers working on innovative A.I. L. attack detection, 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. As a Lead 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
  • Oversee implementation of data and model development pipelines
  • Explore anomalous and fraudulent patterns or trends for feature discovery and enhance attack detection model performance
  • Manage the testing of trained models to ensure their robustness and assess their readiness for deployment
  • Data science and data engineering experience

  • Knowledge of model optimization techniques and the ability to work closely with data scientists implementing and optimizing models within big data pipelines
  • Experience with deep learning frameworks (TensorFlow, PyTorch, Keras) and holds strong grasp over data science and machine learning concepts, such as multiple of XGBoost / LightGBM / GBM, Isolation Forest, and clustering
  • Strong background in statistics, probability, and linear algebra as applied to machine learning models.
  • Experience with SQL language and one or multiple of the following database technologies : Hadoop, Spark, PostgreSQL.
  • Good knowledge of Linux / Bash environment
  • Python, Pyspark
  • Graduate degree in CS, or a STEM related field.
  • Experience building payment attack or fraud detection models
  • D. degree in CS, Data Science, Machine Learning, AI or a related STEM field
  • Experience in with data engineering in PySpark on petabyte scale data
  • Loves working with error-prone, messy, disparate, unstructured data
  • Mastercard is a merit-based, inclusive, equal 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. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment 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. 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;
  • Report any suspected information security violation or breach, and
  • 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 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; 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; S. observed holidays; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement;
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    Machine Learning Scientist • O Fallon, MO, US

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