Los Angeles Times · 22 hours ago
Data Senior Scientist
Los Angeles Times is seeking a Senior Data Scientist to lead high-impact initiatives that advance their data strategy. This role involves designing and deploying scalable, data-driven products and mentoring a diverse team to enhance user experience and drive business outcomes.
AdvertisingEventsFashionLifestyleNewsPrintingPublishingSocial Media
Responsibilities
Lead and deliver complex data science initiatives from concept to implementation, designing and deploying models, systems, and other scalable data-driven solutions that drive business impact
Leverage advanced statistical and machine learning techniques across a range of goals, such as:
Drive user engagement and subscription growth
Improve content recommendation systems for user facing and internal platforms
Evaluate the effectiveness of product changes by leveraging offline analyses and A/B test results
Drive the growth of LLM capabilities across the organization by building innovative applications and strengthening evaluation methodologies for LLM-based solutions
Propose and evaluate impactful project directions and methodologies, working closely with your supervisor to drive effective execution
Mentor, and support junior data scientists to accelerate their development and drive overall team growth
Translate the results of implemented solutions into compelling presentations and dashboards that inform stakeholders, demonstrate impact, and track ongoing progress
Develop, validate, deploy, and maintain projects following industry best practices for collaboration, documentation, reproducibility, and scalability
Stay current with industry trends, tools, and emerging techniques in relevant areas of data science
Other duties as assigned
Qualification
Required
Bachelor's degree or higher in Data Science, Statistics, Computer Science, or a related STEM field. With a bachelor's degree 5+ years of relevant industry experience in data science roles, OR 3+ with a master's degree, OR 1+ with a PhD
Advanced statistical, machine learning, and predictive modeling experience
Strong knowledge of Python and SQL
Experience integrating cloud-based storage and compute services into end-to-end ML pipelines (e.g., AWS, GCP, or Azure)
Hands-on experience with best practices for model development and deployment such as unit testing, CI/CD, Docker, experiment tracking, model registries, and model monitoring
Proven ability to complete end-to-end data science projects, from exploratory analysis to model deployment and monitoring
Strong data visualization skills for delivering insights
Excellent written and verbal communication skills for reporting, documentation, and stakeholder presentations. Ability to communicate results clearly to non-technical audiences
Preferred
Experience with media and/or subscription-based products
Background in recommendation systems or personalization within a highly dynamic setting
Hands-on experience applying large language models (LLMs) in an industry setting. Familiarity with AWS Bedrock, Hugging Face, or similar services and platforms
Experience with A/B testing, and understanding of core concepts like statistical significance and power
Exposure to dbt and analytics engineering best practices
Company
Los Angeles Times
The Los Angeles Times is the largest metropolitan daily newspaper in the country, with a daily readership of 1.2 million and 2.1 million on Sunday, more than 32 million unique latimes.com visitors monthly and a combined print and online local weekly audience of 4.4 million.
H1B Sponsorship
Los Angeles Times has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (1)
2023 (1)
2022 (2)
Funding
Current Stage
Late StageTotal Funding
$0.25MKey Investors
Meta Journalism Project
2023-02-27Grant· $0.25M
2000-06-01Acquired
Recent News
2025-11-01
2025-11-01
2025-10-27
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