Senior Data Scientist, GPTZero

• 3+ years of experience with Pandas, Numpy, and Scipy for data manipulation, visualization and statistical analysis of complex datasets
• Experience with large-scale data pipelines and feature engineering (such as PySpark, BigQuery, AWS EMR, or Hive)
• Strong storytelling ability to communicate complex findings to technical and non-technical audiences
• Self-starter (pitch, plan, and implement as a project owner in a fast-paced team)
• Highly motivated to make positive societal impact
• Ability to wear multiple hats and be a leader as our team grows
• Ability to work in Canada

Desirable

• In this role, you'll blend product analytics, business analytics, and data science to build a data-driven foundation that powers decision-making and innovation
• You’ll collaborate with product, engineering, and business teams to influence strategy, optimize user experiences, and develop scalable solutions for millions of users worldwide
• Build our understanding of user behaviour and needs with product analytics using Pandas, Numpy, Scipy, and PySpark
• Write clean, efficient Python and SQL to extract insights, identify patterns, and evaluate the performance of our machine learning models
• Build robust, scalable pipelines to ingest, preprocess, and analyze large-scale datasets using tools like Databricks and amplitude
• Collaborate with both machine learning engineers and product teams to validate datasets, interpret model outputs, and recommend improvements
• You will be working directly with:
• Alex (our CTO) R&D at Uber self-driving division and Facebook, 3 patents in ML
• George (our AI research lead) PhD from University of Toronto and ex-AWS research
• Olivia (our head of design) on translating your research into outputs for millions of users
• Edward (our CEO, ex-Bellingcat, Microsoft, BBC investigative journalism) to craft the messages we send to our community, and shape the GPTZero brand
• Additionally, you will be working with an experienced (eg. ex-Google, Meta, Microsoft, Bloomberg ML, Uber, Vector, MILA), diverse (eg. an engineering team with both Y-combinator and Obama scholarship recipients, a designer with art featured in the Met), and driven (eg. an operator who has scaled a company to 100M+ revenue and is committed to doing it again) group of individuals, described by one investor as one of the strongest founding teams seen in their career