As a Data Scientist, your role involves predicting and/or extracting meaningful trends, patterns, and recommendations from raw data using data science methodologies such as Machine Learning (ML), predictive modeling, math, statistics, and advanced analytics. **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 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 continuously identify avenues for enhancing analysis efficiency, accuracy, and robustness. **Skills Required:**
- Machine Learning
- AI/ML
- Google Cloud Platform
- Big Query
- Data Flow
- Dataproc
- Data Fusion
- TERRAFORM
- Tekton
- Cloud SQL
- AIRFLOW
- POSTGRES
- Airflow PySpark
- Python
- API
**Experience Required:**
Senior Associate Experience: 3 to 5 years of experience in a relevant field. **Education Required:**