Senior Advanced Analytics Head
Job Duties & Key Responsibilities
1. Minimum 15+ years of industrial experience in managing hands on AI based capability across large data and business driven use cases.
2. Strong educational background in mathematical, statistical and data science orientations (PhD (Computer Science, artificial intelligence, Data Mining, Mathematics, Statistics. ) PhD (computer science | data sciences with industrial experience) is mandatory
3. Hands on experience in data science algorithms and working in medium to complex business problems is mandatory.
4. Strong understanding of data science languages such as (R,Py) along with strong solution experience with Data Science technology implementation architecture is mandatory.
5. Experience in advanced models (theory and implementation). Working with large open and cloud scalable platforms.
6. Demonstrated proactive leadership in the management of fields of Data Science Capability is mandatory
7. Strong techno-functional management working with business teams (on business use cases/ programs)
8. Management of Data Science Teams which includes core data science engineers & partners @ algorithmic depth
9. Strong architectural inclination and has participated/contributed @ core design levels with ability to manage /work on complex large projects is must
10. Strong IT & Business interactions capability
11. Strong hands-on nature (ability to understand-code (base level) / ability to tech mentor – must) for team members
12. Strong team player with exceptional program management (execution). Self-driven & high ownership levels are key
13. Constantly ahead of curve in latest Data Science related technologies and capabilities that are relevant to BFL/ Business
14. Ability to think understand complex business requirements and render them as prototype systems with quick turnaround time.
15. Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external partners/virtual teams.
16. Strong team working and working with grounded collaborations (inter and intra teams)
17. Well connected with eco-system for technology and data science. Diverse domain spread in Data Sciences is a must
Required Qualifications And Experience
Tagged as: dataanalytics
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