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Data Scientist - Computer Vision - KPO (5-8 yrs)
Data Scientist + Computer Vision
Role Overview :
- Expected to work in close collaboration with the team and clients on reporting, transformation & analytics projects
- Demonstrated understanding and experience in applying traditional statistical, machine learning, deep learning, Computer Vision to address business problems
- Data management and governance
- Doing independent research, analyze, and present data as assigned
- Managing the learning and development of new team members
- Recruitment and retention management
- Identify and participate in continuous improvement initiatives
- Ensure compliance with Data Privacy and Protection Guidelines
- Participate in business development activities
- Experience in insurance preferred but not mandatory.
Key Responsibilities & Skillsets :
Common Skillsets :
- 5-8 years of experience in transformation, analytics, ETL, Python and associated data management
- Deep rooted knowledge and understanding of analytics tools (Python, R), advance frameworks (tensorflow/pytorch), Deep Learning models, Image analytics libraries and technique (OpenCV, Skimage, Object Detection, Image Segmentation and Image classification algorithms)
- Must have consulting back ground with structured thinking
- Excellent communication & presentation skills with consultative mindset
- Should be able to lead team independently and prepare/manage client ready deliverable
- Able to understand cross cultural differences and can work with clients across the globe
Data Management Skillsets :
- Strong familiarity with advanced analytics (Python, R), and related software applications
- Good knowledge of data base management and SQL, Informatica, Hadoop/Spark, and ETL tools.
- Strong ability to translate functional specifications / requirements to technical requirements
- Exposure to Cloud data management and AWS services (Preferred)
Candidate Profile :
- Bachelor's/Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas
- Data analysis experience
- Superior analytical and problem solving skills
- Outstanding written and verbal communication skills
- Able to work in fast pace continuously evolving environment and ready to take up uphill challenges
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