Data Scientist

Job Description:

• Delivers machine learning and modern AI including generative AI where relevant solutions end to end from problem framing to production deployment partnering closely with product data engineering and business teams

Key Responsibilities:

• Translate business needs into ML AI problem statements and measurable success metrics
• Develop ML models and where relevant GenAI components e
• g
• retrieval augmented generation prompt pipelines with clear evaluation criteria
• Run evaluation offline metrics error analysis bias checks and monitoring baselines document decisions and assumptions
• Communicate results and limitations clearly to technical and non technical stakeholders support adoption in workflows

Technical Requirements:

• Experience 4 6 years delivering end to end data science projects
• Education Master s or PhD in Data Science Machine Learning Statistics Computer Science Applied Mathematics or related quantitative field required from this level onward
• Core stack Python Spark Git ML frameworks Databricks MLflow or equivalent cloud basics

Additional Responsibilities:

• Python pandas numpy Git for reproducible development
• Databricks Notebooks Workflows for development and orchestration
• ML flow experiments tracking model registry for lifecycle management
• Azure cloud services where relevant Azure OpenAI and Azure AI Foundry for GenAI build evaluation
• Databricks Mosaic AI including Mosaic AI Model Serving for GenAI delivery in the lakehouse
• Databricks Vector Search for RAG retrieval patterns
• Unity Catalog for governed data and model access where applicable
• Lakehouse Monitoring model monitoring for quality and drift where applicable

Preferred Skills:

Technology->AI-Data science->Data Science - Basic,Technology->AI-Generative AI->Generative AI - Basic,Technology->Cloud Platform->Azure Analytics Services->Azure Databricks