Product Data Scientist — AI UX, Impact & Equity

coreflow; Sydney; On-site; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Above-market pay

Fast reward for impact

Growth without management

All meals covered

Company card and unlimited workspace

Great office

Optional team socials

Visa sponsorship

Job summary

Dreamerlabs is seeking a data scientist to own data science for a product area end to end. You will set up logging, run experiments, analyze results, and translate findings into decisions about what to build next. You’ll work with the founders to decide investigations and how to measure impact, switching between projects as priorities change.

The role emphasizes hands-on experimentation, rigorous data checks, and strong communication to drive real user outcomes for millions of monthly users.

Qualifications

• You’ve found something that mattered: an investigation, experiment, or analysis that influenced a real product decision.
• Product judgement: understand users and decide what’s worth building with evidence.
• End-to-end ownership: turn vague questions into actionable answers and verify outcomes.
• Technical mindset: read/write code, understand product flows, debug event logging.
• Rigour and pragmatism: verify data and make conclusions traceable.
• Clear communication: explain thinking with data and challenge ideas constructively.
• Curiosity about AI: keep up with new models and tools, learn quickly.
• Hunger: strive for impact and ownership of important work.

Responsibilities

• Own data science for a product area from end to end.
• Set up logging, run experiments, analyze results, and guide what to build next.
• Work with the founders to decide investigations and priorities.
• Switch between projects as priorities shift and outcomes are measured.

Skills

Impactful analysis

Product judgement

End-to-end ownership

Technical mindset

Rigour and pragmatism

Clear communication

Curiosity about AI

Ambition/Hunger

Job description

Dreamerlabs is seeking a data scientist to own data science for a product area end to end. You will set up logging, run experiments, analyze results, and translate findings into decisions about what to build next. You’ll work with the founders to decide investigations and how to measure impact, switching between projects as priorities change.

The role emphasizes hands-on experimentation, rigorous data checks, and strong communication to drive real user outcomes for millions of monthly users.