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Delhi, Delhi, India beBee Careers Full timeData Science RoleAre you a data scientist with experience in machine learning and deep learning techniques? Do you have a strong background in mathematics and statistics?We are looking for an individual who can apply advanced data science, mathematics, and machine learning techniques to solve complex business problems. This role requires collaboration with...
Data Scientist
1 month ago
Job Description:We are seeking an experienced Data Scientist with a strong focus on Recommender Systems and time series. In this role, you will be responsible for designing, developing, deploying, and monitoring of advanced recommender systems or models based on time series that cater to our diverse user base.Key responsibilities:Design and develop algorithms to deliver tailored recommendations to our user base.Improve the efficiency and scalability of recommendation systems to handle large volumes of data and ensure fast response times.Conduct rigorous A/B testing to validate and iterate recommender models.Efficiently handle and integrate data from various sources, including APIs, databases.Collaborate with cross-functional teams across data and engineering to produce solutions to complex problem statements.Continuously monitor system performance, troubleshoot issues, and implement improvements/optimizations.Create and maintain dashboards that provide actionable insights.Stay updated with the latest trends and advancements in recommender systems.Required Skills and Qualifications:Bachelor's or Master's degree in Computer Science, Engineering, or a related field.Strong proficiency in Python, with extensive experience in PyTorch and/or TensorFlow, scikit-learn.Proven experience in managing and analysing large datasets.Solid understanding of relational and NoSQL databases.In-depth experience with Retrieval, Ranking, Batch, Live and Sequential recommendations.Knowledge of architectures for recommenders such as Two-Tower, DLRM, DCN.Experience with unit and integration tests (Pytest) and CICD pipelines.Experience with data versioning, model management, experiment tracking.Familiarity with key recommender metrics and optimization techniques.Extensive knowledge and hands-on experience in Docker.Excellent problem-solving, analytical, and communication skills.Nice to Have:Knowledge of AWS (Amazon Web Services) services, especially EC2, S3, Sagemaker.Familiarity with Data Validation toolsExperience with A/B testing, and knowledge of associated metrics.Experience in integrating and using data for recommender systems.Experience with distributed training of recommender systems