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.

Start2Scale

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