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Data Scientist

📍 Washington, DC 🕒
Work Model
📍 Washington, DC
Employment
💼 Full-Time Direct
Recruitment Type
🛡️ Direct to HR Pipeline
🛡️
Human-Verified Opening: Inspected by Sarah Jenkins, CIPD • RemoteVault Editorial Team. Authenticated directly from The Washington Post's hiring pipeline • Zero recruiter markups or candidate fees. Verification Standards →

📋 Role Overview & Responsibilities

Job Description

The Washington Post Personalization team is looking for a data scientist excited to create forward-thinking solutions for the next generation of journalism. Our team is at the heart of the Post’s machine learning strategies to build intelligent and adaptable personalized news experiences and business solutions capable of powering the most high-scale websites in the world.

Motivation

You value world-class journalism and are eager to immerse yourself in features and projects that support that mission.You are a technically savvy critical thinker who enjoys problem-solving.You receive feedback enthusiastically and thrive in a collaborative environment.You are a born self-starter with an earnest work ethic.You are eager to evolve and grow your skill-set by learning and sharing the latest machine learning technologies.

Responsibilities

Collaborate with cross-functional agile teams of data scientists, machine learning engineers, software engineers, and others in building machine learning infrastructure that best supports the ML needs.Have a strong problem-solving ability and a knack for statistical analysis.Apply machine learning technologies to build statistical models with large amounts of data.Analyze large and complex data sets to derive valuable insights, inform feature and product development.Deploy ML models under the constraints of scalability, correctness, and maintainability.Monitor and ensure the quality of machine learning solutions by implementing process and control disciplines as well as tooling to govern.Proven ability to communicate with business and know business needs, and align our data products with our business goals.

Qualifications

Minimum Qualifications

Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field2 year+ machine learning and data science experience1 year+ professional experience with Python

Preferred Qualifications

2 year+ experience with AWS2 year+ experience with clustering, classification, sentiment analysis, time series, and deep learningKnowledge in Economics, Finance, or related fieldPh.D. degree in Computer Science, Mathematics, Statistics, or related field

Wherever you are in your life or career, The Washington Post offers comprehensive and inclusive benefits for every step of your journey:

Competitive medical, dental and vision coverageCompany-paid pension and 401(k) matchThree weeks of vacation and up to three weeks of paid sick leaveNine paid holidays and two personal days20 weeks paid parental leave for any new parentRobust mental health resourcesBackup care and caregiver concierge servicesGender affirming servicesPet insuranceFree Post digital subscriptionLeadership and career development programs

Benefits may vary based on the job, full-time or part-time schedule, location, and collectively bargained status.

The Post strives to provide its readers with high-quality, trustworthy news and information while constantly innovating. That mission is best served by a diverse, multi-generational workforce with varied life experiences and perspectives. All cultures and backgrounds are welcomed.

The innovation doesn’t end in the Newsroom – dozens of teams power The Washington Post. We are now hiring the next innovator – how will you Impact Tomorrow?

#washpostlife

Frequently Asked Questions

How do I apply for the Data Scientist position at The Washington Post?

Click the “Apply for this Position” button on this page to submit your application directly to The Washington Post without recruitment intermediary fees.

Is this position eligible for remote work or visa sponsorship?

This position is located in Washington, DC with potential relocation and sponsorship assistance depending on candidate qualifications.

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