Senior Data Scientist

Key Skills

Aartificial intelligence, Data science techniques, Effective communication skills, Google-Analytics, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), Planning and organization, Project management

Job Description

The Wall Street Journal is seeking a senior data scientist who will articulate, lead and execute on our newsroom’s audience-data strategy. In this role, you will ideate and guide projects, mentor team members and set data science, analytics, and data engineering best practices. This job involves in-depth data analysis, data modeling, machine learning and AI experimentation. The results of your work will impact the way we measure, create, produce and distribute our journalism.

You will sit within the Journal’s newsroom data science and insights team and report to the Newsroom Director of Data. The newsroom data team works across coverage, audience, product and platform strategy. The team focuses on the best way to bring digital innovation to the newsroom and works with our editors as well as product and engineering teams on creating great news experiences that resonate with our audiences, current and future. You will be a close partner to content strategy, audience reach, loyalty and product teams, as well as interface with other data scientists and engineers across the business.

You Will:

• Translate newsroom and business questions into problems to be solved with data and machine learning

• Ingest, standardize, integrate and model audiences using web analytics data

• Develop explanatory and predictive algorithms to optimize content for distribution on and off platform

• Devise and lead data-driven research and experimentation programs to help newsroom and product teams engage audiences

• Present and share data-science work with newsroom and business partners

• Lead team discussions on AI, analytics, engineering, visualization and modeling innovations and best practices

• Build frameworks to ensure high quality, trustworthy and insightful data

• Proactively design, roadmap and deliver projects with efficiency and quality assurance processes in mind

You Have:

• An advanced degree in a quantitative field plus 2+ years experience, or a minimum of 5+ years of experience executing and leading data-science projects in areas relevant to the work of the WSJ newsroom data team

• Significant work experience in developing machine-learning models and deploying them to production environments

• Significant work experience with data orchestration and pipeline tools like dbt or Airflow

• Strong proficiency in Python, git, SQL, relational databases, and experience using Python packages like pandas, scikit-learn, numpy, tensorflow, etc.

• Expertise in machine-learning approaches, both supervised and unsupervised, as well as experience applying NLP models to various content types

• Excellent project-management and organizational skills with a keen attention to detail

• Excellent written and verbal communication, along with strong interpersonal skills

• Ability to think strategically and execute methodically

Standout candidates will also have strengths in one or more areas of the following:

• Experience with LLM APIs

• Experience at a media company

• Knowledge of web tracking platforms like Adobe Analytics, Google Analytics, Parse.ly or Chartbeat

• Experience with data visualization tools like Looker data studio or Tableau

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.