Senior Data Scientist

1 day ago


San Francisco, California, United States San Francisco Standard Full time
Job Title: Senior Data Scientist

At The San Francisco Standard, we are redefining the future of local news in one of the world's most dynamic cities. As a leader in data science, you will play a crucial role in advancing our data infrastructure and capabilities, driving data-informed decisions, and shaping the future of local journalism.

Estimated Salary: $150,000 - $220,000 per year.

About the Role:
We are seeking an experienced Senior Data Scientist to join our team as a Senior Data & Analytics Engineer. This is an exciting opportunity to lead our data infrastructure and drive business growth through data-driven insights.

Key Responsibilities:
- Design, build, and enhance the data infrastructure, including setting up and managing custom tracking events in Google Analytics 4, Google Tag Manager, and Google Analytics 360 or Amplitude
- Lead the development and optimization of data pipelines to ensure high performance and scalability
- Define and implement internal data infrastructure standards, focusing on best practices for style, maintainability, accuracy, and scalability
- Collaborate with product and engineering teams to understand their data needs and develop and implement solutions that support product tracking and reporting
- Use Google Cloud Platform tools, including BigQuery and Google Analytics, to enhance our data collection, analysis, and reporting capabilities

Requirements:
- Bachelor's degree plus 5 years of relevant working experience, or a Master's degree with 3 years of experience
- Minimum 3 years of experience with Python
- Minimum 5 years of experience with SQL
- Proficiency with dbt (data build tool) for data transformations
- Expertise with Google Cloud Platform (GCP), including BigQuery and Google Analytics
- Strong experience with Google Tag Manager (GTM) and setting up custom events in GA4
- Strong familiarity with Git for version control
- Experience with advanced data modeling and ETL processes
- Experience designing, implementing, optimizing, and scaling data pipelines
- Excellent communication skills, capable of explaining complex technical concepts to non-technical stakeholders
- Proven ability to work independently and lead technical projects

Preferred Requirements:
- 7+ years of working experience in data engineering or analytics roles
- Experience in digital media or news organizations
- Strong understanding of media metrics such as audience engagement, subscriptions, and advertising performance
- Experience in leading cross-functional projects and collaborating with product and engineering teams

Benefits:
We offer a competitive salary, excellent benefits, and opportunities for career growth and professional development.

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