Data Scientist
- Employer
- The Washington Post
- Location
- Washington, DC
- Posted
- May 16, 2022
- Closes
- May 30, 2022
- Ref
- JR-90273458
- Industry
- Science
- Career Level
- Experienced (Non-Manager)
- Hours
- Full Time
Job Description
The Washington Post Personalization team is looking for a 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.
Responsibilities
Minimum Qualifications
Preferred Qualifications
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
The Washington Post Personalization team is looking for a 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.
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.
- 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.
- Design and implement ML feature pipelines.
- Optimize pipelines and processes for model development, experimentation, and scaled production scoring.
- 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.
Minimum Qualifications
- Bachelor's degree in Computer Science, Mathematics, Statistics, or related field
- 2+ years machine learning and data science experience
- 1+ year professional experience with Python
- Strong problem-solving ability and a knack for statistical analysis
Preferred Qualifications
- 2+ years experience with AWS
- 2+ years experience with clustering, classification, sentiment analysis, time series, and deep learning
- Knowledge in Economics, Finance, or related field
- Ph.D. degree in Computer Science, Mathematics, Statistics, or related field
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