Senior Data Scientist

Data scientists apply advanced analytics techniques and scientific principles to extract valuable information from data for business decision-making, strategic planning and other uses Key duties and responsibilities Key Responsibilities Utilising advanced statistical and machine learning methods to: Analyse complex datasets to deliver actionable insights that inform policy and operational decisions Perform exploratory data analysis to identify trends, patterns, and insights Design, build, and deploy machine learning models Develop model monitoring methods to evaluate model performance and fine-tune algorithms for optimal results provide recommendations for process improvements based on data findings Working closely with stakeholders to: Ensure data science projects are effectively integrated into larger government initiatives Facilitate workshops and meetings to gather requirements Collaborate with cross-functional teams to understand business requirement Provide regular updates and progress reports to stakeholders Identify opportunities for cross-departmental collaboration Conveying technical results and findings to: Clearly and effectively communicate technical results to non-technical audiences, such as senior executives, stakeholders, and community groups Use reports, presentations, and data visualisation tools to present findings Contributing to team efforts to: Represent the team in forums and meetings Share knowledge and expertise with team members Support team efforts as required Foster a collaborative and inclusive team environment Introducing new analytical and data science methods to: Systematically embed new analytical and data science methods into compliance processes Build capability within the team  Stay updated with the latest advancements in data science and analytics Evaluate the effectiveness of new methods and refine as needed Identify, developing, and maintaining relationships to: Develop and maintain relationships to deliver work outcomes Identify potential collaborators and establish partnerships Key Capabilities Experience delivering professional data science solutions in an operational environment Experience in programming for AI and Machine Learning Experience with SQL, R/Python, and R Shiny Programming Hands on experience with EDW and cloud environments, ideally GCP Excellent at managing diverse stakeholder relationships to advance and achieve business objectives  Proficient in statistical analysis Capable of developing innovative data-driven solutions using advanced analytics methologies Proven ability to set priorities, monitor progress and ensure the successful delivery of functions and programs Capable of meeting tight deadlines efficiently Ability to communicate data analysis to non-technical staff and managers Ability to promote data literacy through effective communication of data that is aligned with work processes Excellent interpersonal skills with the ability to collaborate effectively with cross-funtional teams and engage with a diverse range of internal and external stakeholders Ideally, have knowledge of the Medicare Benefits Schedule or the Pharmaceutical Benefits Schedule Criteria The buyer has specified that each candidate must provide a one page pitch to address all criteria specified. This is equal to 5000 characters. Essential criteria 1. Demonstrated experience with data analytical platforms such as R Shiny, SAS, Power BI, Qlik 2. Demonstrated experience in programming for AI and Machine Learning 3. Demonstrated experience with EDW and cloud environments, ideally GCP 4. Demonstrated experience with SQL, and R or Python for programming 5. Demonstrated experience delivering professional data science solutions in an operational environment 6. Demonstrated ability to collaborate effectively within team and across various areas of an organisation, manage diverse stakeholder relationships and communicate data analysis to non-technical stakeholders Opportunity summary Sellers can submit Up to 3 candidates Number of sellers invited Fewer than 5 Number of candidates submitted Fewer than 10 Send us feedback About Accessibility Privacy Terms of use Disclaimer and copyright An initiative of the Digital Transformation Agency The Australian Government acknowledges the Traditional Owners of Country throughout Australia and acknowledges their continuing connection to land, waters and community. We pay our respects to the people, the cultures and the Elders past and present. © Commonwealth of Australia