Data Scientist driving detection and mitigation of fraud across audio verticals on our platform. Collaborating with data scientists and ML engineers to ensure fair engagement and accuracy for users and creators.
About the role
- Senior Data Scientist at Future Evidence Foundation, developing AI solutions for health and science research. Collaborate within a team to lead innovations in systematic reviews.
Responsibilities
- Reporting to the CTO and responsible for discovering, developing and deploying solutions to accelerate the systematic review workflow.
- Collaborate with the product and engineering team to identify areas for automation and improvement.
- Design and develop state-of-the-art NLP algorithms, optimizing for cost, latency, and accuracy.
- Analyze data and conduct experiments to improve the accuracy and efficiency of model.
- Build and deploy models that can be integrated into production applications.
- Evaluate emerging LLM tools and frameworks to maintain a competitive edge in research automation.
Requirements
- Strong problem-solving skills with a data-driven mindset for complex research challenges.
- Deep hands-on experience developing LLM solutions, including prompt engineering, fine-tuning, and multi-modal API integration from different providers.
- Experience in LLM evaluation and benchmarking, specifically using robust and efficient frameworks to quantify model performance and factual consistency.
- Strong programming skills in Python with experience in deploying ML/LLM models to production applications.
- Experience with NLP techniques and tools for semantic analysis and information extraction.
- Experience in building Retrieval Augmented Generation (RAG) pipelines using vector Databases (e.g. Milvus, Pinecone, or Chroma) and efficient retrieval strategies.
- Experience with data visualization tools and common database technologies.
- Knowledge of medical and/or scientific terminologies and ontologies.
Benefits
- Competitive salaries relevant to your experience level, reviewed twice yearly
- Remote team so you can live and work in Australia or NZ, as long as you can offer at least a 4-hour workday crossover with the AEST time zone
- Work week flexibility - Full time, part time or explore a flexible arrangement with us that best suits you and us
- Gifted time off between Christmas and New Years
- Support for parents with 14 weeks paid primary carers leave and 8 weeks paid leave for partners, available after only 6 months tenure
- Access to wellbeing services & programs to support your wellbeing
- A knowledge allowance and time so you keep learning and developing
- Monthly home allowance to set up and run your home office.
Job title
Job type
Experience level
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Degree requirement
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