Lead Data Scientist, Newsroom Analytics

About Dow Jones Dow Jones is a global provider of news and business information, delivering content to consumers and organizations around the world across multiple formats, including print, digital, mobile and live events. Dow Jones has produced unrivaled quality content for more than 130 years and today has one of the world’s largest news-gathering operations globally. It is home to leading publications and products including the flagship Wall Street Journal, America’s largest newspaper by paid circulation; Barron’s, MarketWatch, Mansion Global, Financial News, Investor’s Business Daily, Factiva, Dow Jones Risk & Compliance, Dow Jones Newswires, OPIS and Chemical Market Analytics.

Dow Jones

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D

dowjones.com

1,001-5,000 employees

Online Media

New York, NY

Public Company

206k LinkedIn followers

• The Wall Street Journal is seeking a Lead Data Scientist, Newsroom Analytics to
• drive our newsroom's audience-data strategy. Reporting to the Senior Manager,
• Newsroom Data, you will be embedded in one of the world's most influential
• newsrooms, working directly with newsroom coverage, audience, and product
• strategy teams on the decisions that shape how news is reported, prioritized,
• and delivered to millions of readers.
• This is a highly autonomous and strategic role that demands both rigorous data
• science and sharp analytical instincts in equal measure. Working closely with
• editorial and audience leaders, you'll surface the right problems and own the
• full arc from solution design to adoption, building the metrics, models, and
• forecasts that teams rely on. This includes developing tools teams actually use,
• translating complex methodologies into clear recommendations, and consistently
• connecting your work to outcomes that matter: how readers discover, engage with,
• and return to WSJ journalism. Beyond your own output, you will serve as a
• technical anchor for the team, mentoring colleagues, establishing shared
• standards for analytical rigor, and proactively driving continuous improvements
• across our workflows. The ideal candidate seamlessly balances statistical rigor,
• strategic newsroom thinking, and a genuine investment in the people and
• practices around them.
• This position will be based in our New York office.
• Partner with our digital strategy, coverage and product teams to identify the
• highest-impact analytical opportunities, define the right questions, and
• shape the data science roadmap around problems that drive real newsroom
• outcomes.
• Design and build predictive and explanatory models end-to-end, from feature
• engineering and validation through production, making principled tradeoffs
• between complexity and interpretability along the way.
• Translate quantitative findings into clear, actionable recommendations for
• senior newsroom and business stakeholders, and partner with cross-functional
• teams to see those recommendations through to adoption.
• Own the core metrics and measurement systems that newsroom teams rely on to
• evaluate performance and make editorial decisions,  ensuring they are
• accurate, well-documented, and trusted.
• Apply rigorous statistical thinking to measure real-world editorial and
• audience impact, drawing on causal inference and observational methods
• alongside controlled experimentation to isolate what's actually driving
• outcomes.
• Mentor and develop junior data team members, establishing shared standards
• for rigorous, production-ready analysis and building the team's collective
• technical capability over time.

• learning, preferably in a media, publishing, or subscription-based
• environment.
• Proven 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.
• Standout candidates will have strengths in one or more areas of the following
• Experience with NLP or text analysis methods, including topic modeling,
• classification, or entity extraction applied to content data.
• Familiarity with off-platform attribution and audience measurement,
• specifically modeling the relationship between distributed content, platform
• referrals, and downstream subscription or engagement outcomes.
• Experience leveraging AI to democratize data and enable faster
• time-to-insight.
• To apply, please submit a resume and a cover letter explaining how your skills,
• experience and interests align with the expectations of the role by July 28th.
• Applications will be reviewed on a rolling basis, and we encourage early
• submission as the position may be filled before the deadline.
• The Journal’s reporters, editors, developers, and audio and visual journalists
• create important and impactful stories, firmly rooted in fact and adhering to
• the highest ethical standards. We report without fear or bias, and we maintain a
• proper sense of perspective, detachment and objectivity in our reporting.
• LI-JA1-WSJ.
• This inbox will not be monitored for application status updates.
• All qualified applicants will receive consideration for employment without

• Health insurance
• Retirement plan
• Wellbeing programs