onsite
Data Scientist - Zapp
Data Scientist
Data Scientist role focused on building advanced analytics and ML models using Python, SQL, BigQuery, dbt, and Airflow to drive customer‑centric insights and product innovation.
About the role
Key Responsibilities
- Design, develop, and deploy end‑to‑end data pipelines with dbt and Airflow to support analytics and ML workloads.
- Build and validate predictive models in Python, leveraging SQL and BigQuery for data extraction and feature engineering.
- Collaborate with product and engineering teams to translate business questions into data solutions and actionable insights.
- Maintain model performance monitoring, retraining schedules, and documentation for reproducibility.
- Advise stakeholders on data quality, governance, and best practices for data‑driven decision making.
Requirements
- Proven experience as a Data Scientist or Data Engineer in a fast‑paced environment.
- Strong proficiency in Python, SQL, and BigQuery; hands‑on experience with dbt and Airflow.
- Solid background in machine learning, statistical modeling, and feature engineering.
- Excellent communication skills and ability to work cross‑functionally.
- Experience with cloud data platforms (e.g., GCP) and modern data stack tools is a plus.
Skills
pythonsqldbtairflowmachine learning