Lead Data Scientist

Startup Genome is looking for a Lead Data Scientist, to lead our data science team and work with renowned thought leaders on the world’s most comprehensive data and research on the global technology startup economy. We produce research on technology startups that influence the policy of our government customers in over 30 countries and growing, and publish the world’s most popular report on Tech startup ecosystems. Last year, several million people and tech leaders saw the results of our research through our report and more than 1000 media articles quoting our work, including the Economist, the Wall Street Journal, TechCrunch, The New York Times, etc.


  • Work hands-on to build and structure Startup Genome‘s analyses, collaborating with global thought leaders to shape the upcoming reports and products
  • Continue and build on our work with clustering, prediction and other machine learning techniques
  • Define and develop an improved set of global startup ecosystem assessment metrics
  • Support the survey design, implementation and monitoring
  • Manage Startup Genome‘s data: be responsible for all aspects of achieving data and result quality including exploration and hypothesis testing, from “zero to hero”
  • Make our research scalable by automating analysis on our data science platform Dataiku
  • Build and manage the Analytics and Data Science team
  • Develop and support the culture and processes that guarantee top quality in our data and metrics
  • Work closely with our global team of researchers and consultants so our data and metrics measure “ground truth” and inform actionable insights


  • Desire to be a part of a globally leading and path-breaking research team
  • Desire to he a hands-on Lead Data Scientist, owning the analytics framework from data acquisition to published metrics, leading a team to make sure metrics produced are of top quality
  • Great analytical skills and at least 6 years of experience with data analysis and data infrastructure
  • Experienced in using Excel, and at least basic Python & SQL skills. Experience in Python data analysis frameworks is a plus
  • Very good verbal and written communication skills in English
  • Leadership experience with data analytics teams and managing data infrastructure producing high-quality, consistent, scalable results
  • BA/BS required; relevant graduate degrees a plus


  • Statistical hypothesis testing (confidence intervals, p-values, etc.)
  • General programming experience (Java, R, JavaScript)
  • Experience with developing and implementing surveys
  • Experience with either (and ideally both) tech startups and research organizations
  • Experience with data visualization tools


  • Position: Lead Data Scientist; Full-Time
  • Location: Remote, with preference for Berlin
  • Compensation: Based on experience, skills and location
  • Report to: Arnobio Morelix, Chief Innovation Officer, Startup Genome (contact@startupgenome.com)


In a technology-fueled global economy, Startup Genome’s mission is to support forward-looking regions to catalyze their startup ecosystems. Our impact is rooted in over a decade of independent research with data on over a million companies across 250 cities. Working side-by-side with more than 300 partner organizations and global thought leaders, our frameworks have become instrumental in building foundations for startups to grow. Our efforts earned us the Research Champions award at the Global Entrepreneurship Congress 2019. Now, our focus is to help develop ecosystems through data-driven strategies.

We at Startup Genome produced the Global Startup Ecosystem Report (released May 2019 at The Next Web event in Amsterdam) and Global Startup Ecosystem Ranking 2018, 2017, 2015 and 2012, as well as multiple regional reports. We produce what is by far the most widely-read research on the external environment of tech startups, and have reached millions of global investors, entrepreneurs and government leaders. Startup Genome has been quoted in the Harvard Business Review, Bloomberg, the New York Times, Wall Street Journal, Financial Times, The Economist, etc.