I found 11 jobs to apply to today.
If you're looking for tech work, there's definitely LinkedIn (the worst, but I live there now.) but..
You should also know about
- https://builtin.com/
- https://zensearch.jobs/
- https://us.welcometothejungle.com/
(the last two were new to me)
and now @applycoop !
reminder that I have 20+ years of data experience and I'm looking for some kind of Data Scientist/Analyst/Analytics Engineering gig, remote in the US (I'm in Portland, OR)
I would like to be doing something that makes the world a bit better, and every one has data, so it seems like that should be possible.
https://www.linkedin.com/in/amsantos/
Reboosts and links to job posts are most welcome!
<p>At Recast, we're building the next generation of media measurement technology. We're scientists and engineers applying cutting-edge techniques to the hardest problems in a multi-hundred-billion dollar market. Every year, billions of dollars are wasted on ineffective and unmeasurable marketing campaigns — Recast helps marketers measure the unmeasurable and save millions of dollars of marketing budget.</p> <h2><strong>Our mission: Rid the world of wasted marketing spend</strong></h2> <p>Billions of dollars are wasted every year on ineffective marketing spend. These dollars flow from innovators, investors, and entrepreneurs into the coffers of some of the world’s largest companies. Wasted marketing dollars barrage consumers with advertisements for products they’ll never purchase, and crowd out the messages for products that might actually be useful. By helping marketers better measure and optimize their marketing budgets, Recast is helping businesses grow more profitably and invest more money in improving products rather than wasting money on useless advertisements.</p> <p>Effective marketing requires deep empathy with customer problems, creative genius, and, critically, the ability to accurately measure what’s working in a world that’s constantly shifting under our feet. Unfortunately, today’s marketers are flying blind trying to piece together disconnected and biased data sources into a coherent whole. Marketers need tools that are unbiased, accurate, and actually answer the questions that will help them make better marketing decisions. Recast is building exactly those tools.</p> <p>Recast is built by scientists, for marketers. We are committed to using the world’s most advanced techniques and technologies to solve problems for marketers. We take our jobs as scientists seriously: we are committed to pursuing the truth in all its glory and we don’t shy away from uncomfortable truths (even if it means telling a customer something they don’t want to hear). By providing an independent and unbiased assessment of marketing performance, Recast gives marketers a central source of truth they can trust.</p>
Siemens has roles: https://jobs.siemens.com/careers/job/563156124989443
At Scribd (pronounced “scribbed”), our mission is to spark human curiosity. Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our three products: Everand, Scribd, and Slideshare. We support a culture where our employees can be real and be bold; where we debate and commit as we embrace plot twists; and where every employee is empowered to take action as we prioritize the customer. When it comes to workplace structure, we believe in balancing individual flexibility and community connections. It’s through our flexible work benefit, Scribd Flex, that employees – in partnership with their manager – can choose the daily work-style that best suits their individual needs. A key tenet of Scribd Flex is our prioritization of intentional in-person moments to build collaboration, culture, and connection. For this reason, occasional in-person attendance is required for all Scribd employees, regardless of their location. So what are we looking for in new team members? Well, we hire for “GRIT”. The textbook definition of GRIT is demonstrating the intersection of passion and perseverance towards long term goals. At Scribd, we are inspired by the potential that this can unlock, and ask each of our employees to pursue a GRIT-ty approach to their work. In a tactical sense, GRIT is also a handy acronym that outlines the standards we hold ourselves and each other to. Here’s what that means for you: we’re looking for someone who showcases the ability to set and achieve Goals, achieve Results within their job responsibilities, contribute Innovative ideas and solutions, and positively influence the broader Team through collaboration and attitude. About the Role The Data & Analytics team at Scribd is seeking a Lead Data Scientist to drive the strategy behind how Scribd discovers, prioritizes, and invests in content. Sitting at the intersection of content, product, and business, this role is both highly strategic and deeply technical — with direct impact on how millions of users engage with our global content library. Scribd is a differentiated subscription platform with strong organic reach and a vast content catalog, spanning books, audiobooks, and over 100 million user-generated documents and slides. In a world where AI is rapidly changing content discovery, summarization, and creation, our challenge — and opportunity — is to use data to help users cut through the noise and engage with high-quality, human-centered content. In this high-impact, cross-functional role, you’ll partner across Content, Product, and Engineering to build models, experiments, and frameworks that surface the right content to the right users — and guide strategic investments in both premium and UGC content. You’ll shape how we define content value, how we measure content ROI, and how we evolve our platform alongside emerging technologies like GenAI. This is a rare opportunity to influence not just what content we bring onto the platform, but how it reaches and resonates with a global audience — at a moment of rapid transformation in the content landscape. You Will - Define and evolve content valuation frameworks, quantifying impact through both user engagement and business ROI lenses. - Identify key user engagement signals and build predictive or causal models to evaluate content performance across the user lifecycle — from trial to activation, retention, and long-term value. - Design and analyze experiments that measure content impact on conversion, churn, monetization, and LTV. - Partner with Product Managers to enhance content curation, discovery, personalization, and engagement — leveraging emerging machine learning techniques such as GenAI where applicable to drive innovation. - Collaborate with the Content Deals team to inform acquisition and licensing strategies using robust, data-backed insights. - Present findings and strategic recommendations to stakeholders across Product, Engineering, Content, and Executive teams. - Partner with Data Engineering and Analytics to ensure key content metrics are accurate, scalable, and accessible across the business. - Contribute to broader data science efforts, championing experimentation standards, modeling best practices, and innovation in content strategy. You Have - 8+ years of experience in data science, analytics, or a related field, with a proven track record of solving complex product and business problems. - Strong foundation in statistical and machine learning techniques, including supervised and unsupervised modeling approaches. - Advanced proficiency in SQL and Python, with hands-on experience building machine learning models and analytical workflows. - Experience working with large-scale datasets, developing scalable data pipelines, and building reusable modeling frameworks. - Deep expertise in A/B testing, causal inference, and quasi-experimental methods. - Excellent communication skills, with the ability to translate complex analyses into clear, actionable insights for diverse stakeholders. - A product-oriented mindset, with strong ownership and the ability to influence cross-functional partners. - Experience with financial modeling or content ROI frameworks is a plus. At Scribd, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States. In the state of California, the reasonably expected salary range is between $153,000 [minimum salary in our lowest geographic market within California] to $239,000 [maximum salary in our highest geographic market within California]. In the United States, outside of California, the reasonably expected salary range is between $126,500 [minimum salary in our lowest US geographic market outside of California] to $227,000 [maximum salary in our highest US geographic market outside of California]. In Canada, the reasonably expected salary range is between $160,500 CAD[minimum salary in our lowest geographic market] to $212,500 CAD[maximum salary in our highest geographic market]. We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package. . Are you currently based in a location where Scribd is able to employ you? Employees must have their primary residence in or near one of the following cities. This includes surrounding metro areas or locations within a typical commuting distance: United States: Atlanta | Austin | Boston | Dallas | Denver | Houston | Jacksonville | Los Angeles | Miami | New York City | Phoenix | Portland | Sacramento | Salt Lake City | San Diego | San Francisco | Seattle | Washington D.C. Canada: Ottawa | Toronto | Vancouver Mexico: Mexico City Benefits, Perks, and Wellbeing at Scribd *Benefits/perks listed may vary depending on the nature of your employment with Scribd and the geographical location where you work. - Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees - 12 weeks paid parental leave - Short-term/long-term disability plans - 401k/RSP matching - Onboarding stipend for home office peripherals + accessories - Learning & Development allowance - Learning & Development programs - Quarterly stipend for Wellness, WiFi, etc. - Mental Health support & resources - Free subscription to Scribd + gift memberships for friends & family - Referral Bonuses - Book Benefit - Sabbaticals - Company-wide events - Team engagement budgets - Vacation & Personal Days - Paid Holidays (+ winter break) - Flexible Sick Time - Volunteer Day - Company-wide Employee Resource Groups and programs that foster an inclusive and diverse workplace. Access to AI Tools: We provide free access to best-in-class AI tools, empowering you to boost productivity, streamline workflows, and accelerate bold innovation. Want to learn more about life at Scribd? www.linkedin.com/company/scribd/life http://www.linkedin.com/company/scribd/life We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations@scribd.com about the need for adjustments at any point in the interview process. Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
@ansate I know a bunch of people here: https://relevant.healthcare/jobs/
It might be a little consulting forward, but I also know they just restructured a bit (actual restructuring, not layoffs) and may need someone more on the technical side.
Melissa Santos
Neurofrontiers
Alison
Zhian N. Kamvar
Pete
Magess 
aburka 🫣
Edward Loveall
Bishop Joey (he/him)
Hud
Will Clark