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Data Scientist

WSP USA Inc.
Perth, AUS
Full-time
Mid
Onsite
Discovered 6 days ago

Full Job Posting

What you'll do

  • As part of our growing Data & Digital team, you'll design, build and deploy scalable data and machine learning solutions for a diverse range of infrastructure clients.
  • You will:
  • Design and build ingestion pipelines from client source systems including SCADA, asset registers, geospatial, climate, environmental and utilities data into cloud platforms such as Snowflake, Databricks and Azure.
  • Develop robust, layered data architectures including raw, staging and curated data models using dbt or equivalent frameworks.
  • Build, validate and deploy statistical and machine learning models, transforming prototypes into monitored and production-ready solutions.
  • Establish CI/CD practices, environments, secrets management and automation for data and model pipelines.
  • Assess client data maturity, quality and governance practices, providing strategic recommendations for improved data collection and management.
  • Deliver end-to-end projects, including discovery, architecture design, development, testing, deployment, documentation and client handover.
  • Support business development activities through technical input into proposals, bids and advisory engagements.
  • Collaborate with multidisciplinary teams across transport, water, energy, defence, environment and major infrastructure projects.
  • What we'll be looking for
  • Essential
  • You will bring a combination of data science expertise and engineering rigour, including:
  • Strong Python development skills, including software engineering best practices such as packaging, testing, version control, code reviews and maintainable code design.
  • Advanced SQL skills with experience in optimisation, data modelling, metric development and complex transformations.
  • Production experience with cloud data platforms such as Snowflake, Databricks, Azure Data Services or equivalent AWS technologies.
  • Experience with modern transformation and orchestration tools including dbt, Airflow, Azure Data Factory or similar.
  • A solid understanding of statistics and machine learning techniques including regression, classification, forecasting and validation methodologies.
  • Demonstrated experience operationalising data products, machine learning models or data pipelines within production environments.
  • Experience working with large, complex and imperfect operational datasets from multiple source systems.
  • Strong stakeholder engagement skills, with the ability to communicate technical concepts and architectural decisions to both technical and non-technical audiences.
  • Desirable
  • Experience in any of the following areas will be highly regarded:
  • MLOps tooling including MLflow, model registries and model monitoring.
  • Docker, Azure Functions or other deployment technologies.
  • Infrastructure as Code tools such as Terraform or Bicep.
  • High-frequency telemetry, IoT or time-series data.
  • Geospatial analytics and tools such as GeoPandas.
  • Infrastructure sector experience across water, transport, energy, defence or environmental services.
  • Optimisation, simulation or digital twin applications.
  • Power BI or similar visualisation tools sufficient to support analyst handover and reporting requirements.
  • Why join WSP?
  • At WSP, you'll work on projects that shape cities, communities and critical infrastructure across Australia and beyond. You'll join a collaborative team of engineers, scientists, consultants and digital specialists who are passionate about solving complex problems with data and technology.
  • We offer:
  • The opportunity to work on nationally significant infrastructure and sustainability projects.
  • Access to industry-leading digital, AI and cloud technologies.
  • Flexible working arrangements that support work-life balance.
  • Ongoing investment in learning, development and technical career growth.
  • A collaborative, inclusive and high-performing culture where innovation is encouraged.
  • The chance to influence how data and AI are applied to some of the world's most pressing challenges.
  • Imagine a better future for us all and a better future for you.
  • With us, you can. Apply today.

Qualifications

  • Experience with modern transformation and orchestration tools including dbt, Airflow, Azure Data Factory or similar.

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