September 26
•Develop, maintain and manage automated data pipelines in R •Develop a deep understanding of Recast’s model to interpret results •Perform ad-hoc data analyses and assist with presenting the results to clients •Working with a team of math-loving statistics nerds in a fast-paced environment •Exploring the output of a complex statistical model with over 30k parameters •Opportunity for ownership in a fast-growing company at the cutting-edge of a multi-billion dollar industry
•Using R for data cleaning and exploratory data analysis •Basic statistical and experimental methods •Presenting the results of analyses to both technical and non-technical audiences •Using version control for collaboration (e.g. GitHub) •Bayesian statistical modeling
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Develop quantitative models for credit outcomes at a financial empowerment company.
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Analyze unstructured data for Smarsh, developing machine learning solutions.
🇺🇸 United States – Remote
💰 Private Equity Round on 2016-01
⏰ Full Time
🟢 Junior
📊 Data Scientist
🗽 H1B Visa Sponsor
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Analyze and interpret risk data for small business lending portfolio management.
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Drive insights for educators' financial strategies using advanced analytics.
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Develops credit risk strategy to support profitable growth in SME lending.
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