Senior Data Scientist

0 years

7 - 9 Lacs

Posted:10 hours ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

Job Summary

The Manager-Data Science role is pivotal in driving the companys data-driven strategies and solutions. With a focus on leveraging cloud technologies and AI/ML concepts the candidate will lead initiatives that enhance operational efficiency and innovation. This role requires a blend of technical expertise and strategic thinking to deliver impactful data science projects in a hybrid work model.


Responsibilities

  • Lead the design and implementation of data science solutions using cloud technologies to drive business innovation and efficiency.
  • Oversee the development and deployment of AI and ML models ensuring they align with company objectives and industry standards.
  • Collaborate with cross-functional teams to integrate data science solutions into existing systems and processes.
  • Provide technical guidance on cloud security models and services to ensure data integrity and compliance.
  • Develop and maintain scalable cloud infrastructure to support data science initiatives.
  • Utilize deep learning techniques to enhance predictive analytics and decision-making processes.
  • Implement generative AI solutions to create innovative products and services that meet customer needs.
  • Ensure the effective use of Python and other programming languages in developing data science applications.
  • Monitor and evaluate the performance of AI/ML models making necessary adjustments to improve outcomes.
  • Facilitate knowledge sharing and training sessions to promote data science best practices within the organization.
  • Drive transformation projects by applying AI and ML concepts to optimize business processes.
  • Collaborate with project and program management teams to ensure timely delivery of data science projects.
  • Stay updated with the latest advancements in AI and cloud technologies to maintain a competitive edge.


Qualifications

  • Possess extensive experience in cloud solution architecture and cloud security models.
  • Demonstrate proficiency in cloud infrastructure and concepts across AWS GCP and Azure.
  • Exhibit strong skills in deep learning and generative AI applications.
  • Have a solid understanding of AI and ML concepts particularly in agentic AI.
  • Experience in project and program management is a plus.
  • Familiarity with transformation and PMO practices is advantageous.


Certifications Required

  • AWS Certified Solutions Architect Google Professional Cloud Architect Microsoft Certified: Azure AI Engineer Associate

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Cognizant

IT Services and IT Consulting

Teaneck New Jersey

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