What are the responsibilities and job description for the Data Scientist 2 position at eeho/CX_1/?
We are looking for a trained data scientist and a bright mind to be part of our financial crime compliance analytics team. The chosen candidate will be tasked to work together with the rest of the development team and help create machine learning frameworks for our customers. Your primary focus will be in applying machine learning algorithms, data mining techniques, doing statistical analysis, and building high quality data science applications integrated with our products.
Required Skills
- Bachelor's degree in Computer Science, Data Science, Machine Learning, or related technical field or equivalent practical experience
- 2-5 years' experience of product-oriented data science work experience
- Strong quantitative skillset with proficiency in areas of data science, machine learning, statistical analysis, statistical model validation and implementation
- Strong ability to program using Python
- Knowledge and direct experience in advanced statistical techniques and concepts including classification, segmentation, statistical hypothesis testing
- Experience in adopting machine learning techniques like regression, clustering, ensemble models, neural networks etc.
- Experience in creating high quality visualizations for data exploration, model evaluation and interpretation purposes
- Able to balance and prioritize multiple concurrent projects effectively
- Eager to learn and work in an agile environment
- Self-motivated, responsible, and accountable
- Excellent communication skills
Preferred Skills
- Exposure to or interest in financial crime domain
- Knowledge of Jira, Git/SVN, Jenkins
- Knowledge/experience with SQL and/or any cloud technologies
- Experience with Docker & Kubernetes
- Hands-on experience with CI/CD for machine learning model deployment (MLOps)
- Should have worked in an Agile Team
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