YipitData
201 - 500 employees
💸 Finance
🏢 Enterprise
Finance • Enterprise • Data Analysis
YipitData is a company that specializes in providing accurate, timely insights on over 1,000 companies by analyzing billions of data points every day. They offer detailed research to help investors make smarter decisions and assist companies in increasing market share, sales, and customer base. YipitData delivers alternative data through a range of datasets, including receipt data, card data, web data, and publicly reported earnings. This data is used to track market trends, consumer behavior, and product categories, enabling businesses to gain transparency into performance metrics. Their services cater to investors, companies, and data partners, with a strong focus on accuracy and near real-time data delivery.
Data Scientist
🕒 July 8
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YipitData
201 - 500 employees
💸 Finance
🏢 Enterprise
Finance • Enterprise • Data Analysis
YipitData is a company that specializes in providing accurate, timely insights on over 1,000 companies by analyzing billions of data points every day. They offer detailed research to help investors make smarter decisions and assist companies in increasing market share, sales, and customer base. YipitData delivers alternative data through a range of datasets, including receipt data, card data, web data, and publicly reported earnings. This data is used to track market trends, consumer behavior, and product categories, enabling businesses to gain transparency into performance metrics. Their services cater to investors, companies, and data partners, with a strong focus on accuracy and near real-time data delivery.
📋 Description
• Design, validate, and deploy robust, scalable optimization frameworks and distribution models • Explore and execute complex methodologies, evaluate methodological trade-offs • Partner cross-functionally to transition ad hoc code into standardized, version-controlled templates • Optimize code performance and scale analytical workflows
🎯 Requirements
• 4–5 years of professional data science experience • 2-3 years of experience with an advanced degree • Bachelor’s degree in a highly quantitative field (Statistics, Economics, Physics, Mathematics, Engineering, or a related discipline) • Exceptional expertise in working with, modeling, and optimizing for statistical distributions • Advanced proficiency in Python or R • Expert-level SQL • Key Advantages: Direct experience working with panel data or longitudinal consumer data • Hands-on experience analyzing receipt data or transaction-level consumer data • Experience working with Databricks and scaling advanced compute workloads
🏖️ Benefits
• flexible work hours • flexible vacation • generous 401K match • parental leave • team events • wellness budget • learning reimbursement
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