Senior Data Scientist - Comviva Technologies
- Bengaluru, Karnataka, India
- Apply by: Jan 01, 2026
- 2 Vacancy
- Local Candidates (India)
- Salary: 1500000 INR - 1900000 INR
- Shift: First Shift (Morning)
- Career Level: Experienced Professional
- Degree: Graduate
- Experience: Year
- Full Time/Permanent
- Work from Office
Job Description
|
Work Location |
Bengaluru |
|
Total Experience |
6 – 8 years |
|
Qualification |
B.E/B.Tech/M.E/M.Tech/MCA |
Looking for a highly capable Senior Data Scientist to develop AI based Autonomous system for operational automation.
As a senior Data Scientist he/she will be working closely with different product unit to understand the business, modes of operation and business challenges faced and defining strategy for Data collection, data transformation, AI readiness and data management. Ideal candidate shall have exposure of end-to-end data science project life cycle.
To ensure success as a Senior Data Scientist, you should be fundamentally strong in statistics and mathematics for data science An accomplished Data Scientist will be someone whose expertise shall results in designing a software system which can include predictive models using advanced analytics.
Prior experience in building self-recovery systems will add more weightage.
As a Senior Data Scientist, he/she is responsible to extract meaning from available data, uncover insights and identify opportunities to inform business decision making. He or She might need to use various tools, data mining, statistical techniques, algorithms and machine learning principles to identify trends, patterns and insights from raw data.
Responsibilities
- Developing new Machine Learning models in AIOPs space
- Creating predictive models using advanced analytics
- Evaluate different algorithmic approaches to solve various machine learning and prediction use cases
- Deploy the analytics and predictive models in production environment
- Monitor deployed models, maintain accuracy
- Mentor team members and build next level
- Write technical documentation
Must Have:
- Proven experience in end-to-end data science project life cycle
- Excellent problem solving and analytical skills
- Fundamentally strong in statistics and mathematics for data science
- Excellent understanding of machine learning techniques and algorithms such as Decision Tree, Random Forest, KNN, Hierarchical clustering , Prophet, ARIMA etc.
- Experience with Python and common data science toolkits like Jupyter, Pandas, Numpy, Scikit-learn, TensorFlow, Keras etc.
- Knowledge on ensemble techniques like bagging, boosting
Nice to have
- Prior experience in working on similar AI based recovery systems
- Experience in deep learning, neural networks
- Experience in data science project for time series data or AIOPS space
- Knowledge on system monitoring solution