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Job no:
521540
Work type:
Salaried
Location:
Melbourne
Categories:
Procurement
As a Senior Data Scientist, you will be responsible for driving data-driven strategies, performing advanced analytics, and delivering key insights that influence business decisions. You will work closely with cross-functional teams, including key stakeholders, to build predictive models, conduct exploratory data analysis (EDA), and apply cutting-edge machine learning techniques to solve complex problems.
Key responsibilities:
Stakeholder Engagement, Leadership and Strategy
Partner with key business stakeholders to understand their data needs and challenges, including regular communication to gather requirements, present findings and insights, and collaborate on analysis strategy.
Provide technical mentorship to junior data scientists and foster a culture of innovation and continuous improvement.
Implement data science projects from conceptualization to deployment.
Support identification of valuable opportunities across the organisation, prioritise development and evolve existing solutions to meet the changing needs of the business.
Stay up to date with the latest advancements in data science, machine learning, and AI to identify innovative solutions and experiments.
Data Exploration, Analysis and Modelling
Perform exploratory data analysis to understand data distributions, spot trends, and identify anomalies or patterns.
Use statistical methods and visualisation tools to summarize key insights from data.
Clean, preprocess, and prepare datasets for advanced modelling and analysis.
Design and develop predictive models using machine learning techniques (e.g., regression, classification, clustering).
Apply advanced statistical techniques, such as hypothesis testing, A/B testing, and time series forecasting.
Build recommendation engines, optimisation tools, and other decision-making algorithms.
Regularly evaluate model performance and iterate to improve accuracy and efficiency.
Key Skills & Attributes:
Technical Skills
Proficiency in programming languages such as Python, R.
Proficiency in statistical analysis and machine learning algorithms.
Advanced knowledge of feature engineering and dimensionality reduction techniques.
Advanced knowledge of confidence intervals and significance testing.
Understanding of CI/CD pipelines and experience with MLOps.
Soft Skills
Excellent problem-solving and analytical thinking.
Strong communication skills with the ability to understand business needs and explain complex concepts to non-technical stakeholders.
Ability to work in a fast-paced environment and manage multiple projects simultaneously.
Autonomy in planning and implementation.
Ability to research and implement complex algorithms and techniques.
Experience with NLP, computer vision, or deep learning techniques.
Experience in deploying machine learning models to production environments.
Familiarity with Azure cloud and MS Fabric.
Qualifications:
Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related field.
Key experience:
5+ years of experience in data science or related analytics roles.
Proven experience leading data science projects from conception to production.
Experience working with complex datasets, advanced EDA, and ML modelling.
Demonstrated success in collaborating with and managing relationships with diverse stakeholders.
Advertised:
23 Sep 2024 AUS Eastern Standard Time
Applications close:
21 Oct 2024 AUS Eastern Daylight Time
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