Eric Karsten Email & Phone Number

Palo Alto, Ca, Us

Mountain View, Ca, Us

- Manage a team of 10 remote data scientists spread across the US, Canada, Germany, and India- Support Product metrics and experimentation (A/B testing) across 7 product pods (PM, EM, Design) focused on the core educator and learning product at Coursera including tests of AI-assisted course authoring, AI-assisted grading (in place of peer review) and content quality- Accelerated a stalled migration from Redshift to Databricks across the entire data science and data engineering team at Coursera, deprecating 500+ no-longer used jobs and achieving 100% adoption of Databricks tooling on the team for new projects within two quarters.

Mountain View, Ca, Us

- Managed and grew from 4 to 8 a globally distributed team ranging from new grads to PhD economists- Standardized B2B revenue reporting in a common dashboard of input (product and marketing metrics) and output (sales and revenue metrics) that aligned product, marketing, and sales leadership on common goals- Delivered B2B customer renewal propensity model, enabling product teams to evaluate the impact of specific, proven strategic initiatives with a causal link to increase NRR- Built the data strategy for the Skills Taxonomy 2.0 initiative, refactoring everything from the data foundations to incorporating LLMs into the tagging models, increasing taxonomy size from 100 to 1000+ skills and tagging coverage from 50% to 100%

Mountain View, Ca, Us

- Influenced $25M in ACV with an interactive dashboard that enabled skills benchmarking of B2B prospects- Hired, developed, and lead a product analytics team of 3 for Coursera's skills benchmarking products- Designed a hierarchy of metrics for A/B testing to relate performance of AI systems like Skills Tagging and Skills Recommendations to product metrics like user engagement- Rolled out a content demand forecasting model leveraging discrete choice frameworks to increase the frequency of launching “hit” content on the platform

Mountain View, Ca, Us

- Built partnerships with institutions like the World Economic Forum and World Bank IFC to feature Coursera data in forums like the WEF’s flagship Future of Jobs Report- Lead data scientist and point person for the PR and IR teams in charge of standardizing Coursera’s external metrics in preparation for IPO to ensure consistency and narrative cohesion of external data- Analyzed skill trends to support several thought leadership reports on topics ranging from the state of skills in the world to pedagogical best practices for online teaching

Chicago, Illinois, Us

• Empirically measured the causal effect of information disclosure regulations on oil production outcomes• Structurally modeled production decline curves to reduce dimensionality of production data• Programmatically extracted clean analysis data from inconsistent US oil production and leasing data• Used GIS techniques to merge administrative oil and gas lease and geology data• Solved theoretical economic models analytically and computationally

Master'S Degree, Economics

Bachelor’S Degree, Mathematics And Economics

High School