Data Scientist 2

6 days ago


Pune, India Oracle Full time

**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

**Responsibilities**
- Understand complex design requirements and develop efficient python code to implement data science pipelines and API frameworks
- Create high quality test data for enabling the functional testing of APIs
- Work on decision support areas such as anomaly detection, fraud detection, Customer segmentation, Risk scoring
- Contribute and follow data science process including tasks and deliverables related to requirements, data discovery and extraction, model development, to implementation
- Review the deliverables throughout development to ensure quality & traceability to requirements and adherence to all quality management plans & standards
- Work effectively with Tech Leads and Developers to create and maintain the overall priorities and success measures for the enterprise


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