FASTTEK GLOBALpowered by Fast Switch - Great Lakes
Chennai, Tamil Nadu
Data Science and Machine Learning Senior Specialist #1036034Job 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:
- Big Query,, AI/ML, Data Science, Data/Analytics, Machine Learning, Python
Skills Preferred:
- ALGORITHMS, GenAI, Artificial Intelligence & Expert Systems
Experience Required:
- Senior Specialist Exp: 7+ experience in relevant field.
Experience Preferred:
- The candidate should be independently able to analyze the data and provide recommendations and have ability to provide visualization solutions
Education Required:
- Bachelor's Degree
Education Preferred:
- Master's Degree
Additional Information :
- Analyze the automotive data 2. Perform Exploratory Data Analysis 3. Generate Predictions 4. Provide Recommendations