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Data Scientist (Fullstack)
Описание вакансии
Текст:
TL;DR
Data Scientist (Fullstack): Building and maintaining end-to-end data pipelines and ML models to drive product growth and user acquisition with an accent on full-stack data ownership. Focus on implementing scalable analytics architecture in dbt, performing complex data exploration, and leveraging AI tools to accelerate development and business insights.
Location: Remote-first (Global)
Company
An award-winning health, wellness, and coaching company that uses behavioral economics to create evidence-based apps helping millions of users improve their lives.
What you will do
- Build, maintain, and scale analytics pipelines using SQL and dbt.
- Develop ML models to provide actionable business predictions.
- Create data visualizations and dashboards in Omni to empower stakeholders.
- Collaborate with Product Growth, User Acquisition, and Finance teams on high-impact projects.
- Manage technical debt and improve engineering practices like testing and CI/CD.
- Utilize AI tools to accelerate code development and problem-solving.
Requirements
- University degree in Engineering, Computer Science, or Applied Mathematics.
- 4+ years of experience across data science, analytics, or analytics engineering.
- Excellent SQL skills and experience building data models with dbt.
- Strong engineering fundamentals including testing, clean code, and git workflows.
- Excellent written and verbal English proficiency.
- Comfortable working in a remote-first environment.
Nice to have
- Experience with Digital Marketing, User Acquisition, or Growth metrics.
- Familiarity with the current stack: Amplitude, BigQuery, Omni.
- Strong analytical and statistical intuition.
- Prior experience in an agile startup environment.
Culture & Benefits
- Professionally nourishing, flexible, and fully remote work environment.
- Focus on deep work with minimal meetings.
- Culture of ownership, open communication, and checking egos at the door.
- Opportunity to work on products used by over 30 million people.