RQ00745 Data Science Developer Senior

The role combines two functions. As a Data Engineer it automates the data pipeline for analytic products and advanced analyses. As a Data Science Specialist it helps identify and prioritize use cases and integrate AI techniques (machine learning NLP) into PHOs work increasing capacity for modelling forecasting and scenario analysis. The role supports both foundational capability/infrastructure work and HealthMap data ingestion and aligns with and advances the Public Health Data Utility (PHDU) on PHOs Azure platform.

Key Responsibilities

• Participate in product teams to analyze system requirements and architect design code and implement cloud-based data and analytics products that conform to standards.
  
• Design create and maintain cloud-based data lake and Lakehouse structures automated data pipelines analytics models and visualizations (dashboards and reports).
  
• Liaise with IT colleagues to implement products conduct reviews resolve operational problems and support business partners in the effective use of cloud-based data and analytics products.
  
• Analyze complex technical issues identify alternatives and recommend solutions.
  
• Prepare and conduct knowledge transfer.
  
• Automate the data pipeline for analytic products and advanced analyses including ingestion ETL and production for the foundational capability and for HealthMap (DLSPH model data).
  
• Help identify and prioritize analytic use cases and integrate AI techniques (machine learning NLP) into PHOs work.
  
• Increase PHOs capacity for modelling forecasting and scenario analysis.
  
• Build on and advance the PHDU and PHOs Azure data and analytics platform; support data acquisition through data-sharing and governance processes where required.
  
• Document methods and transfer knowledge to PHO staff so the pipeline and capability can be sustained beyond the engagement.
  

Key Deliverables

• Automated data pipelines and cloud data lake / Lakehouse structures supporting the capability and HealthMap.
  
• Analytics models and visualizations (dashboards and reports) conforming to standards.
  
• Prioritized AI / ML use cases and supporting models (forecasting scenario analysis).
  
• Knowledge-transfer documentation and sessions for PHO technical staff.
  

Requirements

Required Skills

• Experience with multiple cloud-based data and analytics platforms and coding / programming / scripting tools to create maintain support and operate cloud-based data and analytics products.
  
• Experience designing creating and maintaining cloud-based data lake and Lakehouse structures automated data pipelines analytics models medallion architecture and visualizations (dashboards and reporting) in real-world implementations.
  
• Deep experience with modern technology stacks: Azure Storage Azure Data Lake Azure Databricks Lakehouse and Azure Synapse. Power BI Python SQL Azure Databricks and Azure Data Factory.
  
• Experience assessing client information-technology needs and objectives.
  
• Experience problem-solving to resolve complex multi-component failures.
  
• Experience preparing knowledge-transfer documentation and conducting knowledge transfer.
  
• A team player with a track record for meeting deadlines.
  

Desirable Skills

• Written and oral communication skills to participate in team meetings write and edit systems documentation prepare and present written reports on findings and alternative solutions and develop guidelines / best practices.
  
• Interpersonal skills to explain and discuss the advantages and disadvantages of various approaches.
  
• Experience conducting knowledge-transfer sessions and building documentation for technical staff on architecting designing and implementing end-to-end data and analytics products.
  

Expected Skills

• Be an advanced professional able to apply concepts practices and procedures in practice.
  
• Work with minimal direction and lead and train others in technical components and concepts.
  
• Plan lead and deliver complex deliverables that provide options for decisions within the organization.
  
• Bring a high level of expertise in the required skill set specialized in the technical area and provide specific advisory support as required.
  

Must Haves:

• Experience with multiple cloud-based data and analytics platforms and coding / programming / scripting tools to create maintain support and operate cloud-based data and analytics products.
  
• Experience designing creating and maintaining cloud-based data lake and Lakehouse structures automated data pipelines analytics models medallion architecture and visualizations (dashboards and reporting) in real-world implementations.
  
• Deep experience with modern technology stacks: Azure Storage Azure Data Lake Azure Databricks Lakehouse and Azure Synapse. Power BI Python SQL Azure Databricks and Azure Data Factory.
  
• Experience assessing client information-technology needs and objectives.
  
• Experience problem-solving to resolve complex multi-component failures.
  
• NOTE: We are looking for the same candidate to cover both data engineering/data pipeline work and data science specialist work.