Description
- Collecting, analysis and clean up data
- Creating algorithms for processing catalog products using different data sources
- Experimenting with different models and neural networks, creating model ensembles
- Creating a workflow for publishing algorithms to production
- Hands-on experience in building and deploying machine learning and statistical models using Python, PySpark, Machine Learning libraries, SQL.
- Experience in computing/programming skills; proficiency in Python, R, and Linux shell script.
- Experience in data management and data analysis in a relational database, Hadoop and Spark.
- Experience with Cloud computing platforms - GCP
- Experience in productionalizing ML models - building data pipelines, model framework and model deployment.
- Strong communication and interpersonal influencing skills.
- Excellent problem solving and critical thinking capabilities
- Desirable: PyTorch, Deep Learning, NLP, reinforcement learning, recommender system, etc.
- Bachelor’s degree with six or more years of relevant work experience as a Data Scientist practicing model development and production for business applications; Or a Master's Degree in Computer Science, Statistics, Math, Economics, Engineering, or Data Science related fields with two or more years of relevant experience as a data scientist or machine learning engineer.
- Opportunity to work on cutting-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Full benefits including but not limited to medical, dental, vision
- Corporate social events
- Professional development opportunities
5 applies
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