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- Work on a cross-functional team with designers, engineers and product managers to frame questions, collect data and deliver insights; helping to maximize impact and effectiveness of our solution;
- Build predictive models using both systems modeling and machine learning to generate insights and automate product processes
- Maintain and enhance existing models, expanding modeling into other business sectors over time.
- Build and maintain APIs, be able to develop scalable APIs and have a good understanding of Database Layers
- Design and implement APIs to make sure the production service works fine with machine learning models
- Have hands on experience debugging pods and APIs within Kubernetes, ability with Terraforms code and Cloud architecture, be familiar with CICD
- Good understanding of data structures, optimization techniques, caching and multi-services architecture
- At least 4 years of extensive experience as a Data Scientist
- Excellent communication and analytical skills
- Extensive experience (in academia and/or industry) leading independent projects in data science
- Practical expertise with machine learning, statistical modeling and/or systems modeling
- Experience or familiarity with natural language processing
- Experience accessing and sourcing data from different sources using both SQL and NoSQL querying languages
- Comfortable with Python, NodeJS, Kubernetes and Terraform
- Knowledge of cloud concepts and analytics platforms (GCP, AWS, Azure, etc)
- Experience with ETL on messy data
- Experience with model deployment and pipelines