
Senior Business Analytics Consultant
1 day ago
The ideal candidate will possess a strong background in data science methodologies, encompassing machine learning, predictive modeling, mathematics, statistics, and advanced analytics.
Key Responsibilities:
- 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.
- Develop 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.
- Continuously identify avenues for enhancing analysis efficiency, accuracy, and robustness through ongoing research, study, and stay updated in the domain of data science, machine learning, analytics tools, and techniques.
Requirements:
- 7+ years of experience in relevant field.
- Big Query, AI/ML, Data Science, Data/Analytics, Machine Learning, Python, Algorithms, GenAI, Artificial Intelligence & Expert Systems.
- Bachelor's Degree or higher is required.
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