4.0 - 7.0 years

0 Lacs

bengaluru, karnataka, india

On-site

Job Title: Data Scientist Location: Bangalore (Onsite Day 1 Reporting) Budget: 13 16 LPA Experience: 4 7 years total | 4+ years relevant in Data Science Responsibilities Apply statistical analysis, machine learning, and predictive modeling to develop business-driven solutions. Build and optimize models for classification, regression, and causal inference. Work with supervised learning methods including XGBoost, Ridge, ElasticNet, and Neural Networks. Design and implement predictive analytics models for real-world use cases. Apply causal inference and optimization techniques to derive actionable insights. Collaborate with cross-functional teams (data engineers, business analysts, stakeholders...

Posted 1 month ago

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Manager - Data Science Product (Retail Commercial) Majid Al Futtaim

5.0 - 9.0 years

0 Lacs

haryana

On-site

The Manager - Data Science Product plays a crucial role in developing and delivering the product vision and roadmap in collaboration with product developers, data engineers, and data analysts at Majid Al Futtaim Retail. The focus is on spearheading the Advanced Analytics transformation within the organization. As part of the Retail Analytics Unit, the Manager will contribute to building and developing the analytics talent necessary to support the advanced analytics agenda. Team members are encouraged to shape the unit's trajectory and bring their ideas to life. The Manager will be instrumental in enhancing the Advanced Analytics value proposition in alignment with Majid Al Futtaim's digital ...

Posted 3 months ago

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Manager - Data Science Product Majid Al Futtaim

5.0 - 9.0 years

0 Lacs

haryana

On-site

The Manager - Data Science Product at Majid Al Futtaim Retail in India plays a crucial role in developing and delivering the product vision and roadmap in collaboration with product developers, data engineers, and data analysts. This position involves spearheading the Advanced Analytics transformation within the organization. The Manager will contribute to building analytics talent to support the advanced analytics agenda and shape the trajectory of the Retail Analytics Unit. By leveraging quantitative analysis, data mining, and data manipulation, the Manager will design and implement data models, develop advanced statistical models, and enhance algorithms to address Retail Analytics problem...

Posted 3 months ago

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