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Data Scientist Shalini

Logicplanet IT Services
Posted on

Experience
8 - 14 yrs
Job Location
Kolkata, India
Vacancy
1
Designation
Data Scientist
Job Type
Not specified

Job Description

8.00 - 14.00 Years
28.00 - 32.00 INR (Lacs)/Yearly
Full-time
Full-time
Roles & Responsibility

3.Data Scientist: 8+ years of experience - E3.1

Role: Analyzes and interprets complex data to provide insights, builds predictive models, and helps in the decision-making process.

Skills: Statistical analysis, data visualization, machine learning, proficiency in data science tools (Jupyter, Pandas), and strong analytical thinking

4.AI Solutions Architect: 10+ years of experience- E3.2

Role: Designs AI system reference architectures fitting common patterns in use cases. Design a composable framework of functionality for maximal reusability. Defines and ensure highest quality in publishing BTP AI Best Practices both internally and externally. Presents to various internal communities and potentially SAP Insider events.

Skills: System design, knowledge of cloud services, understanding of AI/ML lifecycle, and experience with microservices and APIs. Full understanding of SAP AI framework and how to integrate with classical AI approaches, open source and public assets.

Requirements

3.Data Scientist: 8+ years of experience - E3.1

Role: Analyzes and interprets complex data to provide insights, builds predictive models, and helps in the decision-making process.

Skills: Statistical analysis, data visualization, machine learning, proficiency in data science tools (Jupyter, Pandas), and strong analytical thinking

4.AI Solutions Architect: 10+ years of experience- E3.2

Role: Designs AI system reference architectures fitting common patterns in use cases. Design a composable framework of functionality for maximal reusability. Defines and ensure highest quality in publishing BTP AI Best Practices both internally and externally. Presents to various internal communities and potentially SAP Insider events.

Skills: System design, knowledge of cloud services, understanding of AI/ML lifecycle, and experience with microservices and APIs. Full understanding of SAP AI framework and how to integrate with classical AI approaches, open source and public assets.

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