Data Scientist

About the Role

We’re looking for a
Staff Data Scientist
to shape the future of our marketplace through advanced analytics, experimentation, and machine learning. You’ll
define the technical direction
of data science initiatives,
influence product strategy
, and
mentor other data scientists
to elevate our analytical standards and impact.

As a Senior Technical Leader, you’ll partner closely with Product, Engineering, and Operations teams to
turn data into decisions
that improve reliability, growth, and user experience across markets.

• Lead data science initiatives with company-wide impact — from experimentation frameworks to ML systems and causal inference methods
• Define best practices and standards for experimentation, modelling, and analytical excellence across teams
• Partner with Product and Engineering leadership to identify and prioritise high‑leverage opportunities
• Develop and deploy scalable models and data products that drive measurable business outcomes
• Mentor and coach other data scientists and analysts, helping them deliver higher‑impact work
• Communicate insights and recommendations to senior leadership, influencing product and growth strategy
• Contribute to Heetch’s data platform evolution
  , ensuring data quality, reliability, and efficiency at scale

• Have a
  deep understanding of statistics, experimentation, and causal inference
  , and know how to apply them pragmatically
• Are fluent in
  Python, SQL
  , and modern data/ML tooling
• Have
  experience bringing ML models into production
  and measuring their long‑term business impact
• Are skilled at
  translating complex technical findings into actionable business insights
• Are a
  collaborative leader
  who mentors peers and sets high standards for analytical rigor and impact
• Have7+ years
  of experience in data science, ideally with 2–3 years in a Staff‑level or tech‑lead capacity

• Experience in marketplace or pricing systems (supply–demand modelling, matching, or fraud detection)
• Experience leading data science guilds, chapters, or communities of practice
• Familiarity with MLOps, feature stores, or causal inference frameworks

🌈 We’re all about building a diverse, inclusive team where everyone feels safe, seen and celebrated. Different backgrounds, perspectives, and vibes? Bring it on. That’s how we grow.

And hey — studies show some people (especially women and early‑career folks) hold back from applying unless they tick every single box. Don’t do that. If this role sparks something in you, but you’re not sure you match everything — apply anyway. We care about potential, mindset, and energy just as much as experience.

Everyone’s welcome on the Ride 💖