Data Scientist - Chat Advisor
Cleo
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Posted:
April 19, 2023
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Remote
About the position
The data science team at Cleo is seeking an experienced data scientist to join their team. The successful candidate will work on a highly impactful workstream, helping to understand users' finances and develop Cleo into a hyper-personalized financial coach. The role involves improving current machine learning models, building and productionising classifiers, and implementing and utilizing GPT. The ideal candidate will have at least 3 years of experience in data science or related roles, commercial experience of deep learning, NLP and text analysis, and the ability to write production quality code in Python and SQL. Nice to have skills include experience with containers and container orchestration, and working with AWS technologies such as EC2, S3, Sagemaker.
Responsibilities
- Improving current machine learning models
- Actively building and productionizing classifiers without dependencies on engineering teams
- Working to implement and utilize GPT to continue developing hyper-personalized AI assistant
- Performing a wide range of ML tasks such as classification, recommender systems, and NLP
- Finding opportunities for model and product improvements in Cleo's extensive datasets of chat conversations, spending patterns, and app interactions
- Having at least 3 years of experience in data science or related roles
- Possessing commercial experience of deep learning, NLP, and text analysis
- Being able to write production quality code in Python and SQL
- Having experience deploying machine learning/deep learning algorithms into production
- Conducting large scale A/B experiments
- Having a strong ability to communicate findings to non-technical stakeholders in a concise and engaging manner
- Having experience with NLP methods
- Having experience with containers and container orchestration such as Kubernetes, Docker, and/or Mesos, including lifecycle management of containers (nice to have)
- Having experience working with AWS technologies such as EC2, S3, Sagemaker (nice to have)
Requirements
- At least 3 years of experience in data science or related roles
- Commercial experience of deep learning, NLP and text analysis
- Ability to write production quality code in Python and SQL
- Experience deploying machine learning / deep learning algorithms into production
- Experience conducting large scale A/B experiments
- A strong ability to communicate findings to non-technical stakeholders in a concise and engaging manner
- Experience with NLP methods
- Nice to have: experience with containers and container orchestration: Kubernetes, Docker, and/or Mesos, including lifecycle management of containers
- Nice to have: experience working with AWS technologies such as EC2, S3, Sagemaker