Posted on: 30/04/2026
Position Description :
Employees in this job function are responsible for predicting and/ or extracting meaningful trends/ patterns/ recommendations from raw data, leveraging data science methodologies including Machine Learning (ML), predictive modeling, math, statistics, advanced analytics, etc.
Key Responsibilities :
- Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making
- Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data driven decision-making
- Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends
- Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation
- Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness
Skills Required :
- Machine Learning
- AI/ML
- Google Cloud Platform
- Biq Query
- Data Flow
- Dataproc
- Data Fusion
- TERRAFORM
- Tekton
- Cloud SQL
- AIRFLOW
- POSTGRES
- Airflow PySpark
- Python
- API
Experience Required :
Senior Associate Exp : 3 to 5 years experience in relevant field
Education Required : Bachelor's Degree
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