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    • You write queries, check data yourself, and make your conclusions traceable and verifiable.
    • You'll run A/B tests, including setting up event data, checking…
    • View all coreflow jobs - Sydney jobs - Data Scientist jobs in Sydney NSW
    • Salary Search: Data Scientist (Product) salaries in Sydney NSW
    • Understand data structures and business and extract and integrate required data sources for analysis according to business requirements.
    • Exposure in Developing data science projects which includes scoping, building, testing, implementation, maintenance, tracking and optimisation of models.
    • Handle data with care and follow privacy, security, responsible AI and model risk requirements, recognising that good data science in a corporate environment…
    • 2+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience.
  • View similar jobs with this employer
    • Participate in broader conversations and skills sharing with engineers, people scientists and data scientists.
    • Experience with Snowflake or other cloud data platforms.
    • Perform exploratory data analysis and generate actionable business insights.
    • Experience working with financial, registry, or market data.
    • Build smart systems – develop models for anomaly detection, forecasting, and data quality…
    • You own defined data science use cases from problem framing and data exploration through modelling, validation and implementation support.
    • Translate data into compelling narratives collaborating cross-functionally to ensure data solutions meet business needs and continuously generate value.
    • Proficiency with data visualisation tools (e.g., Plotly).
    • Some experience working with big data technologies (e.g., Spark, Hadoop).
    • 4+ years of experience in data analytics, consulting, or related quantitative role.
    • Use quantitative analysis and the presentation of data to see beyond the…
    • Contribute to a modern data science environment with strong engineering, version control and governance practices.
    • Highly specialised data manipulation and analysis skills to enable data transformations and complex analysis, including building advanced algorithms and…
    • Collaborate with data engineers to develop robust and reusable data models.
    • Strong communication and data storytelling skills.

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Job Post Details

Data Scientist (Product) - job post

coreflow
Sydney NSW
$200,000 - $500,000 a year - Full-time

Job details

Pay

  • $200,000 - $500,000 a year

Job type

  • Full-time

Location

Sydney NSW

Benefits

Pulled from the full job description

  • Relocation assistance
  • Visa sponsorship

Full job description

About us

  • 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.

Example projects

  • 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.

Our interview process

  • 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.

  • Offer: if it’s a strong fit, we move quickly.

Compensation Range: A$200K - A$500K

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