Senior Data Scientist

Job Description

Description

Who we are

When you start to think of waste as a resource, it opens up a world of possibilities. Cleanaway is the largest waste management company in Australia providing sustainable waste management solutions to a range of customers including councils, small businesses, large corporate entities and government agencies to provide sustainable waste management solutions.

The position

Cleanaway is an essential service with environmental causes and sustainability in mind. In order to be efficient and to succeed in its data journey, many data sources need to be harnessed. The data landscape is vast, incorporating huge amounts of data in all different shapes and sizes: Everything from Telemetry, IoT, trucks GPS and weight-bearing loads, production lines to HR systems, ERP, sales and more; Tens of source systems and complex data challenges.

As a Senior Data Scientist with at least 6 years of experience under your belt, you will lead the AI/ML capabilities in the Data & Analytics team; Reporting to the Head of Data & Analytics, you will be responsible for architecting, designing and implementing Cleanaway’s models and predictive analysis solutions. Supported by a team of Data Engineers and DataOps, Data Analysts and Business Analysts you will lead the productionisation of those solutions end-to-end.

You will play a pivotal role in building Cleanaway’s Advanced Analytics capabilities in the Data & Analytics framework and support its data journey.

You will be joining an already diverse team of talented and energetic individuals.

Core Responsibilities:

- Apply your existing experience and skills to leverage AI, machine learning, NLP and other related methodologies and techniques at a national scale
- Conduct data analysis, data exploration, data profiling and statistical analysis to support improve performance across all departments of the business
- Azure eco-system – Azure Storage(DataLake), Databricks, Synapse; On-Prem data sources
- Liaise with solutions architects, data analysts, DataOps, business analysts, data scientists and other developers to ensure all deliveries are supported by the correct architectural implementation. Provide expert advice and guidance on data quality-related activities
- Work closely with Data Analysts, DataOps and Data Engineers to develop the Data & Analytics framework – Work with Cleanaway’s Data Lake, Enterprise Data Warehouse and “reverse ETL” into Cleanaway’s source systems
- Research opportunities and drive innovation through innovation and experimenting
- By on top of new data and machine learning technologies
- Mentor team members on how to solve analytical, data and technical challenges
- Comply with the procedures and processes used within the Data & Analytics team, ensuring all work undertaken is executed consistently and professionally; being comfortable working with and around a professional software development team; SDLC, GIT and TDD

Skills and experience

- Excellent communication and stakeholder management
- Sound SQL, Python (PySpark, pandas and dataframes); Advanced scientific computing and analysis with NumPy/SciPy
- Operationalise models in Azure using MLFlow(Databricks), MLOps
- Demonstrated experience of data cleaning and manipulation.
- Experience with unstructured data sources such as with XML, JSON on Azure
- DataLake & EDW methodologies; Data analysis, data modelling, data integration, data warehousing Deep knowledge of machine learning algorithms, ensembling techniques, complex quantitative analysis and model performance tuning
- Working in large unstructured and structured datasets, preferably using PySpark and SQL.
- Experience participating in scrum-based agile teams
- Post graduate qualification in a quantitative discipline (e.g. Physics, Mathematics, Bioinformatics, Computer Science)

What we offer

- Competitive Salary Package
- Learning and development opportunities
- Scope for growth within the business
- Support from a strong network of business partners
- Employee share program
- Great staff benefits program including novated car leasing and salary sacrificing on work-related purchases, discounts on private health insurance and more
 
 
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