2+ years of proven experience building deep learning models for large-scale recommender systems.
Proficiency in ML frameworks such as TensorFlow or PyTorch.
Proficiency in SQL, Python and Spark for data analysis and manipulation. Experience working with Databricks is a plus.
Proficiency with statistics, design of experiments, exploratory data analysis, and insights generation.
Experience working with cloud platforms like Azure or GCP.
Experience working with Data Engineering and MLOps is desirable.
High level of independence to develop and own toolkits, pipelines, and dashboards.
Excellent problem-solving skills and a proactive approach to addressing challenges.
Strong analytical and critical thinking skills with attention to detail.
Prior experience in the retail or e-commerce industry is a plus.
Must be able to learn from others and teach others and work collaboratively as part of a highly interdependent team.
Ability to communicate complex ideas effectively to both technical and non-technical stakeholders.

Data Scientist

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