
Data Science Lead
7 days ago
Job Description
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:
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- Develop and deploy AI models and automation solutions using Copilot Studio and AI Foundry.
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- Leverage M365 tools and services to integrate data-driven solutions within the organizations digital ecosystem.
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- Design and implement workflows and applications using the Power Platform (Power Apps, Power Automate, Power BI).
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- Build, maintain, and optimize data pipelines and integration services to ensure smooth data flow across platforms.
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- Collaborate with stakeholders to understand business requirements and translate them into actionable data science projects.
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- Communicate complex analytical insights in a clear and impactful manner to technical and non-technical audiences.
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- Continuously research and evaluate new tools and technologies to improve existing processes and solutions.
Required Skills and Qualifications:
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- Overall 5-12 years of experience
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- Proven experience working with Copilot Studio, M365, Power Platform, and AI Foundry.
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- Strong knowledge of data integration services and APIs.
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- Proficiency in data modeling, data visualization, and statistical analysis.
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- Experience with cloud platforms such as Azure or AWS is a plus.
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- Excellent problem-solving and critical-thinking skills.
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- Strong communication and collaboration abilities.
- Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field.
Preferred Skills:
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- Experience with additional AI and machine learning frameworks.
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- Familiarity with agile methodologies and collaborative tools.
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- Certifications in Power Platform, Azure AI, or M365 are a plus.
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