As a Data Scientist, you will develop and fine-tune complex mathematical and machine learning algorithms, prioritizing high accuracy and recall. You'll create and maintain large-scale data pipelines capable of processing millions to billions of records, ensuring scalability and performance while integrating advanced ML models.
The ideal candidate will have a Master's degree in Computer Science or related field, with strong proficiency in graph theory, machine learning modeling techniques, and data transformation operations. Expertise in tools like Spark, Pandas, Kafka, and Flink is crucial, along with experience in developing automated data pipelines and performing complex data operations.
Moody's offers an innovative engineering environment where you can tackle intricate challenges, contribute to high-impact projects, and work with a forward-thinking team that values diverse perspectives and encourages individual initiatives. The role provides opportunities for professional growth, cutting-edge technological exploration, and meaningful contributions to enterprise software development.
