Lead Data Scientist

Babylon Data

Babylon Data seeks a Lead Data Scientist for their governmental client project. This role focuses on designing, analyzing, and implementing advanced statistical methods for workload and workforce modelling in a dynamic, multidisciplinary setting. The candidate will be a part of a team that develops sophisticated data-driven solutions.

In this role you can expect to have the responsibilities:

• Analyze complex datasets to derive patterns and develop heuristics.
• Design and build statistical models for business problem-solving and decision-making.
• Implement heuristic algorithms for model precision and efficiency.
• Use probabilistic modelling for forecasting and risk evaluations.
• Collaborate with cross-functional teams to translate business needs into technical implementations.
• Document methodologies, models, and algorithms for transparency.
• Communicate results and insights to both technical and non-technical stakeholders.
• Offer training and mentorship on statistical methods within the team.
• Ensure compliance with regulatory requirements and guidelines.

This role comes with the following benefits:

• Flexible work schedule with hybrid work arrangement.
• Opportunity to work with a multidisciplinary team.

This role requires you to have:

• Proficiency in SAS, Python, R, JavaScript.
• Experience with Cloudera, Spark, HDFS, Hive.
• Knowledge of Machine Learning & AI.
• Familiarity with SAS, Teradata.
• Expertise in Tableau, Power BI.
• Strong understanding of optimization algorithms and probabilistic modelling.
• Knowledge of data management frameworks and legislation.

You would benefit from having:

• Experience in SAS, R, Tableau, Python, JavaScript, Power BI.

Candidates must be able to obtain baseline security clearance and have work authorization in Australia. The role has flexible arrangements after the initial 6-week on-site period. Reduced Activity Periods could be implemented where work and payment might not be required.