Data Science Lead

3 days ago

Bengaluru, Karnataka, India Brillio Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Data Science Lead
Primary Skills

  • Sagemaker Studio, Vertex AI, Data Robot, SageMaker, Privacy (Federated Learning, Privacy preserving Algorithms), Model Provisioning: Kubernetes, Kibana, Databricks ML, Model Monitoring, Explainability (SHAPE, LIME, SHAPLEY), Azure ML, Bias Detection/Correction in Data, Big Query ML, Azure Synapse ML, Deployment Strategies (A/B, Blue green, Canary), Model testing, Integration testing, Domino Datalabs, Model Experimentation

Job requirements

  • Job Title: Data Scientist
  • Location: Bangalore / Gurgaon/Pune
  • Notice- 0 to 30 days

Job Summary:

We are seeking a skilled and innovative Data Scientist to join our dynamic team. The ideal candidate will have hands-on experience with Copilot Studio, M365, Power Platform, AI Foundry, and integration services. You will work closely with cross-functional teams to design, build, and deploy intelligent solutions that drive business value and enable digital transformation.

Key Responsibilities:

  • Develop and deploy AI models and automation solutions using Copilot Studio and AI Foundry.
  • Leverage M365 tools and services to integrate data-driven solutions within the organization's digital ecosystem.
  • Design and implement workflows and applications using the Power Platform (Power Apps, Power Automate, Power BI).
  • Build, maintain, and optimize data pipelines and integration services to ensure smooth data flow across platforms.
  • Collaborate with stakeholders to understand business requirements and translate them into actionable data science projects.
  • Communicate complex analytical insights in a clear and impactful manner to technical and non-technical audiences.
  • Continuously research and evaluate new tools and technologies to improve existing processes and solutions.

Required Skills and Qualifications:

  • Overall 5-12 years of experience
  • Proven experience working with Copilot Studio, M365, Power Platform, and AI Foundry.
  • Strong knowledge of data integration services and APIs.
  • Proficiency in data modeling, data visualization, and statistical analysis.
  • Experience with cloud platforms such as Azure or AWS is a plus.
  • Excellent problem-solving and critical-thinking skills.
  • Strong communication and collaboration abilities.
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.

Preferred Skills:

  • Experience with additional AI and machine learning frameworks.
  • Familiarity with agile methodologies and collaborative tools.
  • Certifications in Power Platform, Azure AI, or M365 are a plus.

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