Staff Data Scientist
heetch · Barcelona
Apply & track with Apply EdgeAbout 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.
What You’ll Do
- 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
You’ll Thrive In This Role If You
- 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
- Have
7+ years
of experience in data science, ideally with 2–3 years in a Staff-level or tech-lead capacity
Nice to Have
- 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 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.
What You’ll Do
- 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
You’ll Thrive In This Role If You
- 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
- Have
7+ years
of experience in data science, ideally with 2–3 years in a Staff-level or tech-lead capacity
Nice to Have
- 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