Career Opportunities: Manager - Decision Science (10777)

axtriaindiP Alaska, United States of America
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Career Opportunities: Manager - Decision Science (10777)

Requisition ID 10777 - Posted  - Gurgaon, Tower B (Floor 11), CC

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Position Summary

To be a team lead and senior analyst who can work on multiple project streams for a client and applies Analytics for better business decision making especially in the area of Pharma (domain).

Job Responsibilities

  • Be an Individual Contributor in the Analytics and Development team and solve real-world problems using cutting-edge capabilities and emerging technologies based on LLM/GenAI/GPT
  • Software development experience in python is needed as backend for UI based applications
  • Be a part of large delivery teams working on advanced projects when expert assistance is required.
  • Deliver advanced Data Science capabilities to businesses in a meaningful manner through successful proof-of-concept solutions, and later smoothly transition the proof-of-concept into production.
  • Create Technical documents, develop, test, and deploy data analytics processes using Python, SQL on Azure/AWS platforms
  • Can interact with client on GenAI related capabilities and use cases

Education

BE/B.Tech

Work Experience

  • Minimum of 5+ years develop, test, and deploy Python based applications on Azure/AWS platforms

  • Must have basic knowledge on concepts of Generative AI / LLMs / GPT

  • Deep understanding of architecture and work experience on Web Technologies

  • Python, SQL hands-on experience

  • Expertise in any popular python web frameworks e.g. flask, Django etc.

  • Familiarity with frontend technologies like HTML, JavaScript, REACT

Behavioural Competencies

Teamwork & Leadership

Motivation to Learn and Grow

Ownership

Cultural Fit

Talent Management

Technical Competencies

Problem Solving

Lifescience Knowledge

Communication

Project Management

Attention to P&L Impact

Business development

Capability Building / Thought Leadership

Scale of revenues managed / delivered

Scale of Resources Managed

Skills

 

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