Data Senior Scientist

We're seeking a Senior Data Scientist to lead high-impact initiatives that advance our data strategy and enhance how millions of people experience our content. In this hands-on role, you'll design and deploy scalable, data-driven products-from advanced machine learning models to personalized recommendation systems-while guiding best practices across the data organization.

You'll collaborate with a diverse team of data engineers, analysts, and researchers to deliver end-to-end solutions, from exploratory analysis through deployment and monitoring. This role combines technical expertise, strategic thinking, and mentorship to strengthen our data-first culture and drive meaningful business outcomes.

Responsibilities

• Lead and deliver complex data science initiatives from concept to implementation, designing and deploying models, systems, and other scalable data-driven solutions that drive business impact.
• Leverage advanced statistical and machine learning techniques across a range of goals, such as:
  • Drive user engagement and subscription growth
  • Improve content recommendation systems for user facing and internal platforms
  • Evaluate the effectiveness of product changes by leveraging offline analyses and A/B test results
• Drive the growth of LLM capabilities across the organization by building innovative applications and strengthening evaluation methodologies for LLM-based solutions
• Propose and evaluate impactful project directions and methodologies, working closely with your supervisor to drive effective execution.
• Mentor, and support junior data scientists to accelerate their development and drive overall team growth.
• Translate the results of implemented solutions into compelling presentations and dashboards that inform stakeholders, demonstrate impact, and track ongoing progress.
• Develop, validate, deploy, and maintain projects following industry best practices for collaboration, documentation, reproducibility, and scalability.
• Stay current with industry trends, tools, and emerging techniques in relevant areas of data science.
• Other duties as assigned.

• Bachelor's degree or higher in Data Science, Statistics, Computer Science, or a related STEM field. With a bachelor's degree 5+ years of relevant industry experience in data science roles, OR 3+ with a master's degree, OR 1+ with a PhD.
• Advanced statistical, machine learning, and predictive modeling experience.
• Strong knowledge of Python and SQL.
• Experience integrating cloud-based storage and compute services into end-to-end ML pipelines (e.g., AWS, GCP, or Azure).
• Hands-on experience with best practices for model development and deployment such as unit testing, CI/CD, Docker, experiment tracking, model registries, and model monitoring.
• Proven ability to complete end-to-end data science projects, from exploratory analysis to model deployment and monitoring.
• Strong data visualization skills for delivering insights.
• Excellent written and verbal communication skills for reporting, documentation, and stakeholder presentations. Ability to communicate results clearly to non-technical audiences.

• Experience with media and/or subscription-based products
• Background in recommendation systems or personalization within a highly dynamic setting.
• Hands-on experience applying large language models (LLMs) in an industry setting. Familiarity with AWS Bedrock, Hugging Face, or similar services and platforms.
• Experience with A/B testing, and understanding of core concepts like statistical significance and power.
• Exposure to dbt and analytics engineering best practices.