Senior Data Scientist
- Work with management and partner teams to design and implement solutions in recommender systems for given objectives.
- Lead technical efforts to improve the performance of deep learning models and propose initiatives to impact company goals directly.
- Autonomously find solutions to complex problems in social network recommendations and understand the data generation process and challenges with the data.
- Analyze and leverage the extensive data received from our application to enhance model performance and accuracy.
- Master's degree in Statistics, Mathematics or Computer Science.
- Minimum of 4 years of experience in designing, developing and deploying production-level deep learning recommendation models with a proven business impact.
- Fluency in Python, Pandas/Dask, SQL, PyTorch or Tensorflow. Ability to write readable and maintainable code.
- Strong communication and storytelling skills with both technical and non-technical audiences. Ability to present complex technical subjects to non-technical stakeholders.
- Ability to read AI research publications and implement the algorithms & architectures from scratch.
- Advanced knowledge in generative models: Auto-encoding, adversarial models, compression.
- Worked on deep learning graph model solutions with 10's of TB of data.
- Publication in peer-reviewed conferences or journals on reinforcement learning, deep learning, and machine learning.
- Strong passion for machine learning and investing independent time towards learning, researching, and experimenting with new innovations in the field.
- Experience working with technologies like SageMaker, Athena/Trino, Spark, Milvus, and OpenSearch.
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