Senior Data Scientist

Salary: $155K-200K base +super +equity (ESS CGT benefits)

Tired of building internal dashboards? Come build the analytical engine that customers run their businesses on.

Step into a high agency, 0-1 role as a Founding Product Data Scientist for an elite, stealth stage FinTech startup who are modernizing global billing & monetization infrastructure!

You’ll work side by side with an exceptional founding team of leaders who previously led hyper-scale transactional engineering and monetization platforms for a global tech giant, giving you a masterclass in hyper-scale product development.

Join a culture that is built on high momentum, deep tech curiosity and low ego, while working with a collaborative hybrid in-office team in Sydney, brainstorming and whiteboarding in real-time.

If you’re a self-sufficient Senior to Staff level IC who loves building from scratch, happily owns data engineering pipelines and wants to see their insights directly drive product strategy and customer success… this is a great fit for you!

What your day to day will look like:

• Build the DW by designing, modeling, and maintaining the foundational data architecture using SQL, Python, Snowflake, and dbt.
• Diagnose payments friction by diving directly into raw, multi-gateway transactional payments data from early beta partners to identify gateway decline patterns and checkout failures.
• Analyse user acquisition funnels and subscription signup-to-paid behaviors to locate and patch revenue leakage.
• Design client-facing features by collaborating closely with product and design folks to translate payments data into automated, customer-facing optimization alerts inside our user portal.
• Drafting and documenting repeatable data transformation frameworks to automate and scale our data strategy from the ground up.

What you will bring to the team:

• Strong quantitative background w/ hands-on experience as a Senior to Staff level Data Scientist, Product Data Scientist Analytics engineer, Data engineer, Product analyst etc.
• Expert level SQL and Python
• Experience working w/ Payments, subscription billing or transactional growth funnels
• Technical self-sufficiency to design your own schemas & ingest your own data from raw billing APIs
• Excellent communicator with the ability to explain complex data models in simple commercial terms directly to customers and stakeholders

Nice to have:

• For Staff level DS - Experience building with dbt & Snowflake is highly valued (we’re also happy to support a Senior DS who wants to move into this).

What’s on offer?

• Top tier remuneration: $155K up to $200K base + super + equity (dependent on your data pipeline & architecture depth)
• Elite Network Exposure: Learn how monetization scales across other high-growth tech startups in our VC network, not just your own
• A permanent, highly collaborative workspace located in the heart of Sydney’s tech hub; Hybrid 3 days onsite/2 days WFH setup

Don’t miss out on this amazing opportunity, Apply Now!