Data Scientist
Description For Data Scientist
Join Microsoft's Business & Industry Copilots group, a rapidly growing organization responsible for Microsoft Dynamics 365, Power Platform, and AI solutions. As a Data Scientist in the Customer Zero Engineering team, you'll work on strategic initiatives building next-generation applications powered by AI and Copilot. You'll be part of developing and deploying machine learning models at scale, working with cutting-edge technologies in cloud computing and AI. The role combines technical expertise in MLOps with opportunities to influence product development and mentor team members. Microsoft offers a collaborative, high-energy environment where you'll work with diverse teams to solve challenging problems for large-scale business SaaS applications. The position offers competitive benefits, including industry-leading healthcare, educational resources, and work-life balance support. This is an excellent opportunity for someone passionate about machine learning and eager to impact how business applications are designed and delivered at a global scale.
Responsibilities For Data Scientist
- Collaborate with data scientists and engineers to design, build, and deploy machine learning models at scale
- Develop and maintain MLOps/AIOPs pipelines for end-to-end ML lifecycle
- Implement CI/CD pipelines for ML models
- Design and deploy monitoring and alerting systems for ML models
- Optimize machine learning models and pipelines for performance
- Manage infrastructure for ML workloads using cloud-native tools
- Partner with cross-functional teams to build cohesive solutions
- Provide technical guidance to junior engineers
Requirements For Data Scientist
- 4+ years of experience in machine learning, MLOps/AIOPs, or software engineering roles
- Proven track record of deploying large-scale machine learning systems in production
- Strong experience with cloud platforms (Azure preferred) and infrastructure as code
- Advanced knowledge of MLOps/AIOPs practices
- Experience optimizing ML models for performance and scalability
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch)
- Experience with containerization (Docker, Kubernetes)
- Strong knowledge of CI/CD tools and workflows
- Basic understanding of model monitoring and governance practices
Benefits For Data Scientist
- Industry leading healthcare
- Educational resources
- Discounts on products and services
- Savings and investments
- Maternity and paternity leave
- Generous time away
- Giving programs
- Opportunities to network and connect
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