What will you be doing?

• Invent, design, and develop state-of-the-art machine learning models to tackle fascinating challenges in both data-rich and data-scarce environments
• Enhance our product line with recommendation, personalization, anomaly detection, structured prediction, and classification capabilities using machine and deep learning algorithms
• Work with developers, product managers, and other stakeholders to translate business needs into data-driven technological solutions
• Deliver ongoing business impact by writing production-quality code while implementing your own ideas

Who you are?

We are looking for a passionate and curious individual to join our Data team to help tackle fascinating challenges and take part in shaping the company’s core technology. As a data scientist in the team, you’ll have a central role in generating business impact by applying sophisticated data-driven approaches, taking projects end to end, from inception to production.

What should you have?

• 3+ years of experience as a Data Scientist in environments that combine versatile data sources such as textual, relational, unstructured transnational, graph, and stream data
• Deep understanding of both the theory and application of Statistical modeling, Machine learning & Deep learning
• Experience with state-of-the-art representation learning approaches in NLP and their application in a production environment
• Experience with machine learning lifecycle platforms such as MLflow and Amazon Sagemaker
• Bachelor’s Degree in Computer Science, Engineering or a similar computational discipline
• High English skills

Advantage

• M.Sc. or Ph.D. involving machine-learning related research
• Experience writing production-level code for ML services
• Experience working with the AWS ecosystem
• Experience with knowledge graphs, recommendation models, and graph databases
• Prior leadership experience