Key Responsibilities
1. Writing Optimized Code:
- Develop and maintain efficient, scalable code for model pipelines
- Implement best practices in coding to ensure performance and resource optimization
2. Version Control and Lifecycle Configuration:
- Familiar with best practices to manage codebase changes with available resources
- Maintain and update configuration files to manage the lifecycle of data science models
3. Extracting Usable Information from Data:
- Translate business needs into data-driven solutions and actionable insights
- Conduct thorough exploratory data analysis to uncover trends and patterns.
- Create and maintain feature repositories to document and manage features used in models
4. Building Robust Models:
- Develop models that are reliable and generalize well across different time periods and customer segments.
- Continuously monitor and improve model performance to adapt to changing data and business conditions
5. Publishing Model Outcomes:
- Communicate model results and insights effectively to stakeholders.
- Facilitate the adoption of models by ensuring they meet business needs and are user-friendly.
Qualifications
- Master/PGDM in Statistics/Economics OR
- MCA/ IIT - Btech/Bachelors in Statistics + up to 2 years of relevant experience
Role Proficiencies
Must Have Skills :
- Ms Excel & PowerPoint
- SQL
- Python
- Supervised & Unsupervised machine learning algorithms
- Strong Communication skills
- Collaborative Mind-set
- Pro-active Approach to problem solving & stakeholder engagement
- Good to have Skills :
- SAS
- AWS S3/ Sagemaker
- Version Control