About Start2Scale
Start2Scale is a talent acquisition advisory and recruitment consultancy, built for tech companies during their startup and scaleup stage. We're fortunate to support numerous VC-backed startups across Australia and internationally.
About Our Client
Our client is amultiple-time unicorn and Gartner Magic Quadrant Leaderin its software space, providing API-first solutions to thousands of companies across 100+ countries. Processing over 1.5 trillion requests annually, they've established themselves as a market-leading AI scale-up with proven innovation and sustained growth.
Backed by significant funding and operating at a multi $B valuation, they continue to invest heavily in their AI-powered platform capabilities. Their customers include globally recognized brands across retail, technology, and enterprise sectors—companies like Slack, Under Armour and Stripe rely on their technology to power critical digital experiences for millions of users.
The Opportunity
Join a market-leading AI scale-up building the next generation of AI-powered products that make artificial intelligence explainable and help customers make data-driven decisions. As a Senior Data Scientist focused on Product Analytics and Machine Learning, you'll be instrumental in transforming product data into actionable insights that directly influence product strategy, feature development, and business outcomes.
You'll work at the intersection of analytics, experimentation, and machine learning—analyzing user behavior across billions of API interactions to uncover opportunities that improve engagement, retention, and conversion. Your insights will guide sprint planning, feature prioritization, and strategic business decisions that impact millions of users globally.
This role offers the opportunity to work with cutting-edge AI technologies at unprecedented scale, contribute to products used by household-name brands, and shape the future of AI-powered experiences.
What You'll Do
- Analyze and aggregate user behavior data to identify trends, surface friction points, and uncover growth opportunities
- Translate complex data findings into clear, actionable recommendations that influence product roadmaps and feature prioritization
- Own end-to-end A/B test design from hypothesis generation and power analysis through to post-test analysis
- Conduct deep-dive cohort analyses to identify patterns in user behavior across billions of API interactions
- Build and maintain ML models for business-critical decisions using modern techniques including gradient boosted trees, neural networks, offline/online eval testing, signal fusion, ranking mechanism and survival analysis
- Contribute to end-to-end model development and deployment for automated decision-making
- Collaborate with ML engineers to productionize models that improve platform performance and user experience
- Present insights to cross-functional teams including engineering, product, marketing, and leadership
- Build automated dashboards that make product performance visible across the organization
You Might Be a Fit If You Have:
- 4+ years of hands-on experience in product analytics or applied data science, ideally within large scale digital products
- Experience building AI products with familiarity with ML methods and their practical applications
- Advanced SQL and Python skills with understanding of software engineering and data engineering best practices
- Strong grasp of experimentation methodologies (A/B testing, multivariate testing) and their application in product decisions
- Sound understanding of statistical and ML models: gradient boosted trees, logistic regression, neural networks, survival analysis, vector search and dynamic re-ranking
- Familiarity with end-to-end ML model development and maintenance for business-critical decisions
- Deep understanding of key product metrics: user engagement, retention, churn, lifetime value, conversion rates
- Ability to work across engineering, design, product marketing, sales, and customer support to launch and support products
Nice to Have
- Familiarity with search, information retrieval, dynamic re-ranking
- Experience with API platforms or developer tools
- Background in data modeling and managing analytics pipelines
- Previous experience at high-growth technology companies or scale-ups
Why This Role Is Exceptional
- Join a multiple-time unicorn and Gartner Magic Quadrant Leader with proven market dominance
- Analyze data at unprecedented scale across trillion+ annual API requests
- Direct impact on products used by thousands of companies and millions of users worldwide
- Build the next generation of AI-powered products with explainable AI capabilities
- Your insights directly influence product strategy and feature development
- Opportunity to work on complex analytical challenges that few data scientists encounter
Current Tech Stack
- Languages: Python, SQL
- Analytics: DBT, Statistical Modeling, A/B Testing Frameworks
- ML/AI: Scikit-learn, TensorFlow, PyTorch, VertexAI, Gradient Boosted Trees
- Data Infrastructure: Modern cloud data warehouses, Feature stores
- Infrastructure: Scalable analytics pipelines, Automated experimentation platforms
Work Arrangement
This is a permanent role offering flexible remote work within the Seattle, WA area. The company emphasizes impact, contribution, and output over physical location, operating as a high-trust environment where team members have autonomy to choose where and when they work most effectively.
Ready to Apply?
If you're passionate about transforming product data into insights that drive real business impact, and you thrive in an environment where your analytical work directly shapes product strategy at massive scale, we'd love to hear from you.
This is an exceptional opportunity to join a multiple-time unicorn and market-leading AI scale-up, where your contributions will influence products used by millions of users and some of the world's most recognized brands.
