Summary

Use your real-world experience to design challenging data science problems, evaluate AI-generated analyses and code, and help improve how AI systems reason across analytics, machine learning, experimentation, forecasting, and data engineering.

Responsibilities:

- Create realistic data science tasks based on real-world business and research scenarios
- Review and evaluate AI-generated analyses, models, SQL queries, and code
- Compare AI outputs and identify strengths, weaknesses, and errors
- Develop grading criteria and evaluation rubrics
- Provide detailed feedback on statistical reasoning, modeling, experimentation, and data quality issues

Requirements:

- 2+ years of professional experience in Data Science, Analytics, Machine Learning, Experimentation, Statistical Modeling, or Data Engineering
- Robust proficiency in Python and/or SQL
- Experience working with messy, real-world datasets end-to-end
- Strong analytical thinking and written communication skills
- Ability to work independently in a fully remote environment

Preferred Backgrounds:

- Product Analytics & Business Intelligence
- Machine Learning & Predictive Modeling
- A/B Testing & Causal Inference
- Forecasting & Advanced Analytics
- Data Engineering
- Applied NLP or Computer Vision
- Freelance, Consulting, or Startup Data Science experience





ABOUT PLANET PHARMA Planet Pharma is an American parented Employment Business/Agency that provides global staffing services with its headquarters in Chicago and our EMEA regional office located in Central London. We have invested significantly in creating a robust international platform that enables us to work compliantly in 30+ countries with a current network of 2500+ active contractors globally as well as a very strong permanent / direct hire recruitment offering.

Our specialist knowledge and close relationships with our clients and the wider industry really makes us unique in our field. Just recently we were recognized by FORBES as the 17th best professional staffing firm and have won multiple awards from industry accredited bodies for our commitment to excellence and service delivery. We have extensive functional expertise including Regulatory Affairs, Pharmacovigilance, QA, QC, Submissions experts, Clinical development, Quality, Biostatistics, and Medical Affairs / Writing.

We are an equal opportunities Recruitment Business and Agency. We welcome applications from all suitably qualified candidates regardless of their race, sex, disability, religion/belief, sexual orientation or age.

www.planet-pharma.com TO APPLY

Please click ‘apply’ or contact Joesela Alolod A. (Recruitment Sourcer) at Planet Pharma for more information:

E: [email protected]

T: +61 370580550

Linkedin: www.linkedin.com/in/joeselaaloloda/

📌 AI Trainer - Data Science (Australia)
🏢 Planet Pharma
📍 Australia