
Chief Data Architect
22 hours ago
As a senior-level data scientist, you will be responsible for driving business growth through data-driven strategies. You will work closely with cross-functional teams to develop predictive models, advanced analytics, and scalable data pipelines.
- Lead the development of predictive models and advanced analytics to uncover user behaviors and content trends
- Build and maintain scalable data pipelines, reporting tools, and dashboards
- Collaborate across editorial, marketing, and commercial teams to deliver data-driven strategies
- Champion A/B testing and experimentation frameworks to optimize content performance
- Contribute to the architecture and integrity of our data warehouse
About The Job:
You will be working with large datasets to identify patterns and trends, and use this information to make informed business decisions. Your expertise in machine learning, statistics, and data manipulation will enable us to stay ahead of the curve in an ever-changing industry.
Your Skills:
- 5+ years in data science, with a strong foundation in machine learning, statistics, and data manipulation
- 2+ years in a leadership or team lead role
- Advanced proficiency in Python, R, and SQL
- Skilled with Tableau, Power BI, or Looker Studio
- Familiarity with ETL pipelines and data warehousing concepts
What We Offer:
- Experience with Jupyter Notebooks, Git, and Agile workflows
- Excellent communication skills—you can explain complex insights to anyone
- Degree in Statistics, Data Science, Applied Math, or a related field
- Google Cloud Platform (GCP) including BigQuery, Google Cloud Storage, Vertex AI, Google Colab, Looker Studio, Analytics 360, GA4, Google Tag Manager, Google Ad Manager
- Apache Airflow
- Databricks
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