Data Scientist
Airtm
full-time
Posted on:
Location Type: Remote
Location: Argentina
Visit company websiteExplore more
About the role
- Collaborate with product and business teams to define analytical questions, success metrics, and KPIs.
- Build and maintain analytics foundation using SQL and dbt, enabling reliable reporting and self-serve analytics.
- Design, build, and maintain Tableau dashboards that bring metrics to life and support day-to-day decision-making.
- Perform A/B testing and experimentation, including experiment design, statistical inference, significance testing, and result interpretation.
- Perform ad-hoc, exploratory, and statistical analyses to uncover insights and validate hypotheses.
- Communicate findings clearly to both technical and non-technical stakeholders, translating data into actionable recommendations.
- Partner with stakeholders to iterate on metrics, dashboards, and analyses as business needs evolve.
Requirements
- Strong SQL and Python skills for data analysis and modeling.
- Experience with dbt for analytics engineering workflows.
- Experience building dashboards in Tableau (or similar BI tools).
- Solid foundation in statistics, experimentation, and hypothesis testing.
- Ability to work cross-functionally and communicate insights effectively.
- Nice to Have
- Experience building or prototyping machine learning models.
- Exposure to cloud platforms (AWS) for data storage or analytics workloads.
- Experience working with data pipelines or collaborating closely with data engineering teams.
- Knowledge of feature engineering and model evaluation concepts.
- Experience with version control (Git).
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythondbtTableaustatisticsA/B testinghypothesis testingdata analysisdata modelingfeature engineering
Soft Skills
communicationcollaborationcross-functional teamworkinsight translationstakeholder engagement