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The Washington Post

Senior Data Scientist

Washington, DC

Job Description

The Washington Post Personalization team is looking for a senior data scientist who is 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

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  • 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 solid problem-solving ability and a knack for statistical analysis.
  • Apply machine learning technologies to develop statistical models with large amounts of data.
  • Leverage your experience to drive best practices in ML systems.
  • Research new machine learning technologies to support rapid business growth.
  • Monitor and ensure the quality of machine learning solutions by implementing process and control disciplines and tooling to govern.
  • Mentor team members in technological and machine learning best practices.
  • Promote innovation, share ideas and experiences, ask questions, and strive to remove ambiguity for both oneself and team members.
Qualifications:

Minimum Qualifications
  • Bachelor's degree in Computer Science, Mathematics, Statistics, or related field
  • 4 year+ machine learning and data science experience
  • 4 year+ professional experience with Python
Preferred Qualifications
  • 1 year+ experience with LLMs
  • 2 year+ experience with AWS
  • 2 year+ experience with clustering, classification, sentiment analysis, time series, and deep learning
  • Ph.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 coverage
  • Company-paid pension and 401(k) match
  • Three weeks of vacation and up to three weeks of paid sick leave
  • Nine paid holidays and two personal days
  • 20 weeks paid parental leave for any new parent
  • Robust mental health resources
  • Backup care and caregiver concierge services
  • Gender affirming services
  • Pet insurance
  • Free Post digital subscription
  • Leadership 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

Client-provided location(s): Washington, DC, USA
Job ID: washington-JR-90274674
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • FSA
    • On-Site Gym
    • HSA With Employer Contribution
    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
  • Parental Benefits

    • Non-Birth Parent or Paternity Leave
    • Birth Parent or Maternity Leave
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
  • Vacation and Time Off

    • Personal/Sick Days
    • Paid Holidays
    • Paid Vacation
  • Financial and Retirement

    • Pension
    • 401(K) With Company Matching
  • Professional Development

    • Promote From Within
    • Shadowing Opportunities
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program

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