Senior Associate - Data Science & Machine Learning

As a data science professional, you will be responsible for predicting meaningful trends and patterns from raw data using methodologies like Machine Learning, predictive modeling, math, statistics, and advanced analytics. - Understand business requirements and analyze datasets to determine suitable approaches for meeting analytic business needs and supporting data-driven decision-making. - Design and implement data analysis and Machine Learning models, hypotheses, algorithms, and experiments to facilitate data-driven decision-making. - Apply various analytics techniques such as data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models, and algorithms to analyze data and identify meaningful patterns, relationships, and trends. - Develop efficient data loading, data augmentation, and data analysis techniques to improve the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation. - Stay updated on developments in data science, machine learning, analytics tools, techniques, and continuously seek ways to enhance analysis efficiency, accuracy, and robustness. You should have experience in Machine Learning, AI/ML, Google Cloud Platform, BigQuery, Dataflow, Dataproc, Data Fusion, Terraform, Tekton, Cloud SQL, Airflow, Postgres, Airflow PySpark, Python, and API. The ideal candidate for this position would be a Senior Associate with 3 to 5 years of experience in a relevant field. A Bachelor's Degree is required for this role. As a data science professional, you will be responsible for predicting meaningful trends and patterns from raw data using methodologies like Machine Learning, predictive modeling, math, statistics, and advanced analytics. - Understand business requirements and analyze datasets to determine suitable approaches for meeting analytic business needs and supporting data-driven decision-making. - Design and implement data analysis and Machine Learning models, hypotheses, algorithms, and experiments to facilitate data-driven decision-making. - Apply various analytics techniques such as data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models, and algorithms to analyze data and identify meaningful patterns, relationships, and trends. - Develop efficient data loading, data augmentation, and data analysis techniques to improve the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation. - Stay updated on developments in data science, machine learning, analytics tools, techniques, and continuously seek ways to enhance analysis efficiency, accuracy, and robustness. You should have experience in Machine Learning, AI/ML, Google Cloud Platform, BigQuery, Dataflow, Dataproc, Data Fusion, Terraform, Tekton, Cloud SQL, Airflow, Postgres, Airflow PySpark, Python, and API. The ideal candidate for this position would be a Senior Associate with 3 to 5 years of experience in a relevant field. A Bachelor's Degree is required for this role.