Role Description The Lead Data Analyst / Data Scientist is a part-time, remote role responsible for driving data-informed decisions that support secure AGI-related initiatives. This role involves designing and implementing data models, performing advanced data analytics, and applying statistical methods to evaluate system performance and risk. The person in this role will interpret complex datasets, build dashboards and reports, and communicate insights to technical and non-technical stakeholders.

Day-to-day tasks include collaborating with engineering and product teams, defining metrics and experiments, and ensuring data quality and reliability across projects. The role also includes mentoring team members in best practices for analysis, documentation, and reproducible research.

Qualifications

Candidates should possess strong Analytical Skills and proven experience in Data Analytics.

Candidates should possess solid knowledge of Statistics and practical experience applying statistical methods to real-world data.





Candidates should possess proficiency in Data Modeling, including designing, validating, and optimizing models for complex datasets.

Candidates should possess transparent and effective Communication skills for presenting findings and influencing decisions.

Proficiency in Python or R and common data science libraries (e.g., pandas, scikit-learn, NumPy) is highly beneficial.

Experience with data visualization tools (e.g., Tableau, Power BI, or similar) and SQL is preferred.

Background in machine learning, AI safety, or security-focused analytics is an advantage.

Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field, or equivalent practical experience.

Ability to work independently in a remote setting, manage part-time hours effectively, and collaborate across time zones.

📌 Lead Data Analyst / Data Scientist (Australia)
🏢 Seldon Lab
📍 Australia