FASTTEK GLOBALpowered by Fast Switch - Great Lakes
Chennai, Tamil Nadu
Data Science and Machine Learning Senior Specialist #1060215Job 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
- Python
- Statistics
- SQL
- Machine Learning
- cloud
- LLM
- GCP
- Senior Specialist
- Exp: 7+ experience in relevant field
- Bachelor's Degree
- Key Roles and Responsibilities of Position:
- Lead the technical delivery of AI/ML projects, ensuring that products are developed, validated, and successfully integrated to solve critical business problems.
- Partner closely with business stakeholders to understand requirements, translate business problems into analytically tractable frameworks, and deliver actionable, data-driven insights.
- Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making.
- Mentor junior data scientists and guide them in solving analytics related problems
- 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