Lead Data Scientist, Newsroom Analytics & Impact

Dow Jones; New York (NY); On-site; USD 135,000 - 155,000; Full time

Job summary

The Wall Street Journal is seeking a Lead Data Scientist, Newsroom Analytics in New York to drive the newsroom's audience-data strategy. You will partner with editorial, audience and product teams, design models end-to-end, and own core metrics to inform editorial decisions.

This role blends rigorous data science with newsroom leadership, translating insights into actionable recommendations and mentoring the data team to raise technical standards across workflows.

Qualifications

• 5+ years of experience in data science, analytics, or applied machine learning in media, publishing, or subscription-based environments.
• Ability to own models end-to-end in a lean team setting, including scheduling, maintaining, and iterating on outputs using orchestration tools such as Airflow.
• Strong proficiency in Python including feature engineering, model training, validation, and interpretation, with experience maintaining production-quality, reproducible code in Git.
• Advanced SQL and hands-on experience with large-scale data warehouses (Snowflake/BigQuery) as well as ETL workflows/analytics engineering frameworks (dbt).
• Experience applying causal inference and statistical methods to measure real-world outcomes from observational data.
• Strong communication skills with the ability to frame quantitative findings as clear business or editorial recommendations for senior non-technical stakeholders, and a demonstrated ability to influence decisions without direct authority.
• Experience building models that influence content strategy, audience development, or consumer retention.

Responsibilities

• Partner with digital strategy, coverage and product teams to identify analytical opportunities and shape the data science roadmap for newsroom outcomes.
• Design and build predictive and explanatory models end-to-end, balancing complexity and interpretability.
• Translate quantitative findings into clear, actionable recommendations for senior newsroom and business stakeholders and drive adoption.
• Own core metrics and measurement systems used to evaluate performance and inform editorial decisions.
• Apply causal inference and observational methods alongside experiments to isolate drivers of outcomes.
• Mentor junior data team members and raise the team’s technical capabilities over time.

Skills

Statistical thinking

Communication

Mentoring

Problem solving

Strategic mindset

Editorial awareness

Leadership

Tools

Python

Airflow

Git

Snowflake

BigQuery

dbt

NLP

Job description

The Wall Street Journal is seeking a Lead Data Scientist, Newsroom Analytics in New York to drive the newsroom's audience-data strategy. You will partner with editorial, audience and product teams, design models end-to-end, and own core metrics to inform editorial decisions.

This role blends rigorous data science with newsroom leadership, translating insights into actionable recommendations and mentoring the data team to raise technical standards across workflows.