Candidates should be data obsessed with a strong attention to detail and a passion for transforming messy data into actionable insights. They must possess technical brilliance, being recognized by peers as one of the most talented engineers. Experience in setting up seamless first-party and third-party data pipelines, preferably with financial or geospatial data, is essential.
Candidates should possess a strong background in data science with experience in data analytics and modeling. Proficiency in data science tools and the ability to derive insights from various data sources is essential. A track record of building recommendation engines and analytics solutions is preferred, along with a passion for leveraging data to empower small businesses.
Candidates should have experience in machine learning tooling and a strong understanding of various algorithms, including logistic regression and neural networks. A proven ability to integrate data from multiple sources into cohesive systems for recommendations and search is essential. Technical brilliance and a reputation among peers as a highly skilled engineer are also required.
Candidates should have experience as a Founder or key early team member at a high-growth startup. A strong technical skill set is essential, as peers should recognize the candidate as one of the most technically talented engineers. The ideal candidate should be hands-on, customer-obsessed, and focused on delivering transformative tools.