
Senior Data Scientist Position
1 day ago
We are seeking a skilled professional to drive technical depth and accuracy of our training content. You will lead the definition and review of presentations, labs, and real-world scenarios on Azure's modern data and AI stack, working closely with content creators to shape advanced learning experiences.
Key Responsibilities:
- Develop and validate learning content aligned to industry standards
- Provide technical guidance on data pipelines, lakehouse architecture, and ML/AI integration
- Design and review labs and walkthroughs using Synapse, Data Factory, Databricks, and Cognitive Services
- Translate AI/ML concepts into structured training materials
- Stay current with Microsoft's evolving data/AI ecosystem
- Ensure quality, realism, and accuracy across all deliverables, collaborating with writers and stakeholders
Required Skills:
- Deep hands-on experience in data engineering, machine learning, and AI development
- Familiarity with Azure services such as Synapse, Data Factory, Databricks, Cosmos DB, Event Hub, and OpenAI
- 7+ years in roles such as data engineer, ML engineer, AI architect, or applied data scientist
- Proficient with Spark, Python, SQL, and REST APIs
- Strong grasp of AI-based application architecture, ethical AI practices, and cloud-scale data governance
- Ability to bridge technical concepts for instructional teams and content developers
Good-to-Have:
- Certifications: DP-203, AI-102, DP-100 (preferred, not mandatory)
- Experience building or validating technical training content
- Familiarity with GitHub, markdown, Jupyter Notebooks, or SCORM
- Experience with prompt engineering and Azure OpenAI orchestration tools (e.g., LangChain, Semantic Kernel)
About the Role:
This is an exciting opportunity to work with a talented team of experts and contribute to the development of high-quality training content. If you have a passion for data science and AI, we encourage you to apply.
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