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Job Description
Structured overview of role & requirementsAbout This Role
Develop and manage predictive algorithms using large-scale data for applications in Marketing, Supply Chain Optimization, Network Security, and Personalization.
Implement machine learning, Deep Learning, GenAI, NLP, or computer vision solutions using approved programming languages (Python, Java, Scala, R) adhering to best practices, including unit testing and CI/CD.
Collaborate within the Data Sciences team on agile projects, produce maintainable/tested code with documentation, present work to peers, and contribute to code reviews.
Minimum Requirements
Bachelor's degree in quantitative discipline (Science, Technology, Engineering, Mathematics) or equivalent experience.
Strong fundamentals in Probability, Statistics, Linear Algebra.
Hands-on programming skills in Python, SQL, Hadoop/Hive, and machine learning engineering.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Proficient in statistical and machine learning methods applied to business problems, with experience in deep learning, computer vision, or Generative AI.
Comfortable working in agile teams collaborating across geographies and time zones.
Ability to communicate data-driven insights effectively through documentation and visualizations.