Member of Technical Staff (Data)

Are you a sharp data professional who likes making messy real-world data make sense? We're looking for an experienced data professional to join our technical staff and help build the next generation of our impact data products by asking the hard questions of large datasets and making sure the answers we ship actually hold up. At Upright, you get to work on a product that actually matters: the world's largest open-access database on company impact, used by 1,000+ institutional investors and corporations to make real capital allocation decisions. We quantify companies' impact from the ground up, based on peer-reviewed science and what companies actually produce and sell. The raw material is their product data, which we collect and classify automatically at scale. A few things our team has built recently: A global physical climate-risk model for any company. We built a pipeline that pulls in open scientific datasets on heat stress, wildfires, and coastal and riverine flooding, projects them onto a worldwide grid of ~145 million points under both moderate and high-emissions scenarios, and turns the raw data into per-location risk scores. Customers can now see, for any company they hold or are considering, how exposed its real-world locations are to physical climate hazards today and out to 2050. An LLM-assisted Double Materiality Assessment engine that automates a process consultants currently charge €50–200k for, with structured outputs, retrieval over peer-reviewed evidence, and a custom eval harness keeping quality measurable. An agentic user interface, through which users can ask any freeform questions about Uprights data and beyond. And all the quality guardrails to ensure the data is as accurate, coherent, and well-positioned as in our traditional UI. As a Member of Technical Staff focused on data analysis, you'll own larger analytical areas end-to-end: defining what "good" looks like for a given dataset, digging into where the current numbers fall short, designing the checks and analyses that catch issues, and working with our engineers and domain experts to fix them at the root. You'll work closely with our sustainability researchers, analysts, and customers to turn fuzzy, expert-led questions into structured, defensible answers. Your specific responsibilities will be tailored during the recruitment process to your background, skill level, and interests.