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 ... more details
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
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?
Job Abstracts is an independent Job Search Engine. Job Abstracts is not an agent or representative and is not endorsed, sponsored or affiliated with any employer. Job Abstracts uses proprietary technology to keep the availability and accuracy of its job listings and their details. All trademarks, service marks, logos, domain names, and job descriptions are the property of their respective holder. Job Abstracts does not have its members apply for a job on the jobabstracts.com website. Additionally, Job Abstracts may provide a list of third-party job listings that may not be affiliated with any employer. Please make sure you understand and agree to the website's Terms & Conditions and Privacy Policies you are applying on as they may differ from ours and are not in our control.
We would like to take a second to Welcome You to Job Abstracts, the nation’s largest Pure Job Board. With over 3.1 million job listings from 15,000+ Companies & Organizations, we help job searchers find careers that match their interests. As an anonymous user, you have probably discovered how easy our system is to use. However, you have just scratched the surface of what we can offer.
We encourage you to Register so you can use our most powerful features: searching with multiple terms, setting up multiple locations, establishing favorite companies, and accessing your search history. If you find a job you like, you can apply directly for it, and then, keep notes on it. We will also keep a lookout for jobs that match your search terms and email you when we find something you may like.
You can register for free and the system is free to use. If you like our system so far, click on Register and unlock the power required by serious job searchers.
Any time you conduct a search, the system shows you job matches, ranked by their Relevance Score (RS).
The score is calculated by a proprietary algorithm that uses Intelligent Machine Learning.
The Relevance Score tells you how well the job opportunity matches your search term or terms.
When not logged in, the system is limited to one search term. Scores for single term matches are usually lower.
When you register, log in, and set up multiple terms prioritized by importance, the jobs found for you will receive a much higher Relevance Score.