Senior Data Scientist

Job Description:

The Wall Street Journal is seeking a senior data scientist who will articulate lead and execute on our newsrooms audience-data 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 Journals newsroom data science and insights team and report to the Senior Manager of Newsroom 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 3 years experience or a minimum of 6 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 LLM 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 at a media company

• Knowledge of web tracking platforms like Adobe Analytics Google Analytics or Chartbeat

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

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 May 8th.

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race color religion sex age national origin protected veteran status disability status or any other protected characteristic under applicable law. EEO/Disabled/Vets

Reasonable Accommodation

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Were committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidates experience skills location and other relevant factors.

For bonus-eligible roles targets are determined based on multiple considerations including market benchmarks and individual contributions.

For benefits-eligible roles we offer a comprehensive and competitive benefits package covering health retirement wellbeing and more along with optional benefits to meet the diverse needs of our employees.