Data science at Aumni is primarily focused on leveraging our data to derive useful insights both
on a broad-market perspective and a portfolio perspective. That work further drives Aumni’s
content strategy, product roadmap, and business development efforts. Additionally, data science
plays a large role in automating the data structuring process as well as supporting more general
business intelligence for the other business units at Aumni.
insights and trends in Aumni’s data, automate Aumni's data ingestion, and support other
business units within the company.
data science and engineering, initiate and debate key strategic topics and opportunities
from your team’s work, and drive bold, high-impact decisions.
methods, data engineering, tooling and data products, and analytics.
partnerships to further develop our insights.
analysis toward important business decisions.
engineering teams comprising both leaders and individual contributors, and are adept at
figuring out ways to help them flourish
visualization, data and behavioral analytics, advanced metrics, statistics, machine
learning, causal methods, and data engineering and architecture. You likely have a
graduate degree or studies in a quantitative field such as Economics, Analytics,
Mathematics, Computer Science, Statistics, Machine Learning, etc.
cannot be empirically proven and require blending data and scientific methods with
judgment-based approaches.
technical and business partners.
Aumni is an investment analytics company delivering the most reliable data and insights for the private capital markets.
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