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Founding Data Scientist(m/w/x)
Building marketing measurement infrastructure and owning incrementality testing for user acquisition. Deep expertise in causal inference and experimental design required. Meaningful equity, transport subsidy, and catered meals.
Requirements
- Deep expertise in causal inference and experimental design
- Hands-on experience building and operationalizing attribution models
- Proven zero-to-one experience: ambiguous problem, built infrastructure, shipped production-ready
- Proficiency in Python and SQL
- Experience with programmatic advertising, ML pricing, or mobile measurement
- Strong ownership mindset; proactive problem-solving
- Rigorous and pragmatic approach to data analysis
- Automation of repetitive tasks
- Clear communication of model outputs to non-technical stakeholders
Tasks
- Work directly with leadership on measurement and growth problems
- Build data infrastructure to answer high-stakes questions
- Own incrementality testing across marketing, product, and rewards
- Prove value from hypothesis to business impact
- Build data pipelines and measurement stack
- Tie experiments to user behavior, monetization, and multi-touch attribution
- Drive experimentation strategy across growth and product
- Design, run, and interpret tests with causal validity
- Own data products from scoping to rollout
- Partner with C-level, engineering, and business stakeholders
- Turn measurement into operational decisions
- Set scalable frameworks and practices
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- GCP
- dbt
Benefits
Other Benefits
- Meaningful equity
Public Transport Subsidies
- Transport subsidy
Free or Subsidized Food
- Breakfasts and lunches
Learning & Development
- Language learning
Healthcare & Fitness
- Urban Sports Club
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Founding Data Scientist(m/w/x)
Building marketing measurement infrastructure and owning incrementality testing for user acquisition. Deep expertise in causal inference and experimental design required. Meaningful equity, transport subsidy, and catered meals.
Requirements
- Deep expertise in causal inference and experimental design
- Hands-on experience building and operationalizing attribution models
- Proven zero-to-one experience: ambiguous problem, built infrastructure, shipped production-ready
- Proficiency in Python and SQL
- Experience with programmatic advertising, ML pricing, or mobile measurement
- Strong ownership mindset; proactive problem-solving
- Rigorous and pragmatic approach to data analysis
- Automation of repetitive tasks
- Clear communication of model outputs to non-technical stakeholders
Tasks
- Work directly with leadership on measurement and growth problems
- Build data infrastructure to answer high-stakes questions
- Own incrementality testing across marketing, product, and rewards
- Prove value from hypothesis to business impact
- Build data pipelines and measurement stack
- Tie experiments to user behavior, monetization, and multi-touch attribution
- Drive experimentation strategy across growth and product
- Design, run, and interpret tests with causal validity
- Own data products from scoping to rollout
- Partner with C-level, engineering, and business stakeholders
- Turn measurement into operational decisions
- Set scalable frameworks and practices
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- GCP
- dbt
Benefits
Other Benefits
- Meaningful equity
Public Transport Subsidies
- Transport subsidy
Free or Subsidized Food
- Breakfasts and lunches
Learning & Development
- Language learning
Healthcare & Fitness
- Urban Sports Club
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Almedia
Industry
Marketing
Description
The company is building the future of marketing by rewarding a community of over 50 million users for engaging with advertisers' products.
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