WhatzNew Data Scientist role

WhatzNew.ai is advertising a remote Data Scientist job with a $160,000 to $220,000 salary band tied to San Francisco, even as the listing mixes in infrastructure work usually assigned to DevOps or Site Reliability Engineering teams. (whatznew.ai) (wellfound.com) The company’s own careers page lists the role in San Francisco as full-time and says the hire will analyze large datasets, improve machine learning models, run experiments, and work with engineering teams to productionize models. It also says candidates should have a doctorate in statistics, machine learning, or a related field, plus Python, R, and deep learning experience. (whatznew.ai) A parallel listing on Wellfound uses the same title, pay band, and remote-in-the-United-States setup, but the job text describes “a DevOps Engineer” who would manage Kubernetes, cloud infrastructure, continuous integration and continuous delivery pipelines, monitoring, logging, and incident response. The listing says the company hires remotely in the United States, prefers Pacific Time, and does not offer visa sponsorship. (wellfound.com) That split shows how some smaller artificial intelligence startups are combining data science, machine learning operations, and platform work in one opening instead of separating them into specialist roles. The federal O*NET profile for data scientists describes the job around modeling, analysis, and reporting, not operating Kubernetes clusters or disaster recovery systems. (onetonline.org) (wellfound.com) The pay band also stands out against broader remote-market averages. DailyRemote says the average remote data scientist salary is $120,000 based on 726 openings, while ZipRecruiter puts the United States average for remote data scientists at $122,738. (dailyremote.com) (ziprecruiter.com) WhatzNew.ai says it launched in London in July 2025 and sells software that turns product changelogs and release notes into customer-facing announcements. On its site, the company says 93 percent of product updates go unread and pitches its product as a way to increase engagement, retention, and feature adoption. (whatznew.ai 1) (whatznew.ai 2) The company also says it is building for enterprise customers and is Soc 2 Type II compliant, which helps explain why infrastructure, security, and reliability work may be getting folded into roles that would otherwise read as pure machine learning or analytics jobs. Its enterprise page says it uses end-to-end encryption, regular security audits, and strict data privacy controls. (whatznew.ai 1) (whatznew.ai 2) For applicants, the posting reads less like a conventional research-heavy data science seat and more like a product-and-platform role with a data science label. The headline number is San Francisco-level pay for remote work, but the fine print asks for someone who can both build models and keep the systems around them running. (whatznew.ai) (wellfound.com)