Data Scientist (Product)

coreflow; Sydney; On-site; AUD 120,000 - 160,000; Full time

Benefits offered by this job

Top-of-market compensation

Equity upside

Real ownership from day one

Fast-growing scope

Company card for food, coffee, tools

Daily team lunch and dinner at the办公室

Unlimited workspace budget

Visa sponsorship and relocation to SYD

Job summary

coreflow is seeking a product analytics professional to own end-to-end analytics, from logging and funnels to experiments and anomaly detection. You will investigate user behavior changes, identify traffic and infrastructure impacts, and build automated diagnostics.

The role involves running A/B tests, validating data, and deriving actionable insights to guide product decisions. You will implement robust analytics and logging to illuminate diverse customer journeys, working closely with

Qualifications

• Hands-on experience with product analytics and data-driven decision making.
• Ability to write queries, read and write code, and trace data through product flows.
• Methodical, skeptical approach to investigations and distinguishing real signals from noise.

Responsibilities

• Own product analytics end-to-end: logging, funnels, experiments, anomaly detection, investigations.
• pinpoint causes of changes in user behavior and build automated diagnostic systems.
• Run A/B tests, set up event data, verify implementation, interpret results.
• Implement analytics and logging to illuminate different customer journeys.

Skills

Product analytics

SQL querying

Data investigation

Engineer collaboration

Tools

SQL

Data pipelines

Job description

• We're building a new category of interactive entertainment powered by AI characters, image, video, and real-time experiences. We’re one of the most-visited AI products globally, serving millions of users every day.
• We work in-person in Sydney, Australia, and hire globally.

How we work

• User-first: We build what people want. We invest time to understand our users and focus on adding value instead of extracting value.
• High agency, high ownership: We own outcomes end-to-end. When something goes wrong, we take responsibility and fix it.
• Urgency: We prioritize ruthlessly, increase leverage, and move at an exceptional pace.

What you'll do

• You'll own product analytics end-to-end: logging, funnels, experiments, anomaly detection, and investigations that directly shape product decisions.
• Investigate the cause of changes to user behavior. Pinpoint which traffic source, product or infra changes affected which subset of users. Build automated systems to diagnose and investigate this.
• You'll run A/B tests, including setting up event data, checking implementation details and investigating unexpected results.
• Independently implement relevant product analytics and logging to understand different customer journeys in detail.

What you'll bring

• Hands-on experience with product analytics. You write queries, check data yourself, and make your conclusions traceable and verifiable.
• Enough technical ability to create and debug event logging, read and write code, understand product flows, and work closely with engineers.
• A methodical, skeptical approach to investigations. You know the difference between a real insight, a weak signal, and a guess.
• Hunger to move fast, learn the product deeply, and get to the truth.

What we offer

• Top-of-market compensation with meaningful equity upside.
• Real ownership from day one. Work on important problems and see the impact of what you ship.
• Fast-growing scope. As your impact grows, your responsibility and compensation should grow with it.
• A company card for food, coffee, tools, and anything that helps you do your best work.
• Daily team lunch and dinner at the office.
• An unlimited workspace budget to build your ideal setup.
• Visa sponsorship and relocation assistance for people moving to Sydney.

How we think about comp

We raise the ceiling for exceptional performers, not the floor. As your impact grows, your compensation should too.

• The listed range is cash + equity, with superannuation on top.
• We review compensation every 6 months.
• Bonuses reward past impact, and raises reflect your new level.
• Intro call: 15 minutes to align on the role and company.
• Founder interview: go deep on what you’ve built, how you think, and how you work.
• Data investigation: 1 hour with a real dataset. Write the queries yourself and defend your read of what happened.
• Paid work trial: spend 3 days with us in Sydney working on a real problem. We cover travel and accommodation, if needed.