- Support both new and existing data science initiatives by performing exploratory data analysis, data investigations, and building machine learning models.
- Develop and enhance models for time series forecasting, clustering, and anomaly detection—key focus areas for our operational use cases.
- Build and optimize OCR and ML models, including supervised, unsupervised, and neural network approaches.
- Contribute to the development and improvement of ML Ops pipelines across platforms such as Unitee, RStudio, and our time series analytics environment.
- Build and support interactive web applications using Dash and Streamlit to operationalize models and provide data-driven insights.
- Develop APIs using Flask or Django to integrate models and services with internal systems.
- Monitor, maintain, and enhance existing Connect apps and ensure they meet model quality and correctness standards.
- Operate within a secure AWS cloud environment, collaborating with data platform and IT teams.
- Use AWS to build and deploy scalable machine learning solutions.
Leverage AWS Lambda and other serverless technologies for efficient and scalable data science operations.
- Follow Woodside Data Science ways of working, including project documentation and delivery via Jira and Confluence.
Required Skills and Experience:
- Proven experience with time series modeling, clustering algorithms, and anomaly detection techniques.
- Robust Python programming skills, with hands-on experience in ML development including time series models, OCR and neural networks.
- Experience building and deploying web applications using Dash and/or Streamlit.
- Proficiency in API development using Flask or Django.
- Experience working in AWS, including S3, Lambda, and SageMaker.
- Comfortable operating and maintaining data science tools and platforms such as RStudio, RSConnect, and JupyterHub.
- Strong collaboration skills and experience working in cross-functional teams.
📌 524373- Senior Data Scientist (India)
🏢 Infosys
📍 India
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