Semi-Senior Data Scientist

Role Overview

As a Semi-Senior Data Scientist, you will help develop and maintain our data infrastructure and visualization layers for digital marketing and advanced media performance analytics, collaborating closely with Analytics, Data Science, and Solutions Engineering teams.

What You Will Do

Build and maintain scheduled ingestion pipelines, design and manage the BigQuery data warehouse layer, develop robust transformation logic, implement rigorous data quality controls, and build and maintain interactive reporting dashboards.

Why It Might Be a Fit

We are looking for someone who is curious, technically rigorous, highly collaborative in cross-functional environments, and passionate about turning complex data streams into strategic, actionable business recommendations.

Requirements

• Bachelor’s degree in Computer Science, Systems Engineering, Mathematics, Statistics, Physics, or a related quantitative field.
• 2+ years of hands-on experience in data engineering, analytics engineering, or data warehousing.
• Proven proficiency in Google Cloud Platform (GCP), specifically Google BigQuery, Cloud Composer/Airflow, and GCP security and access controls.
• Strong programming proficiency in SQL and Python for data manipulation, cleansing, and transformation.
• Hands-on experience extracting data from media platform APIs (Google Ads, Meta, TikTok, LinkedIn) and digital analytics platforms (GA4).
• Experience building self-serve, interactive dashboards using Looker Studio, Looker, GA4 Omni Insights, or equivalent BI tools.
• Collaborative mindset with a passion for continuous learning, knowledge sharing, and solving complex business challenges through analytics.
• Advanced or fluent English communication skills (written and verbal) to collaborate with global, distributed teams and clients.