Data Scientist

🔥 0 minutes ago

🗽 New York – Remote

🗽 New York – Remote

💵 $170k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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YipitData

WebsiteLinkedInAll Job Openings

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 to ensure complete mathematical integrity across downstream metrics. • Explore and execute complex methodologies, evaluate methodological trade-offs, and implement advanced statistical procedures. • Partner cross-functionally to transition ad hoc code into standardized, version-controlled templates and logical libraries to ensure analytics are structured cleanly to power diverse product surfaces. • Partner closely with Data Engineering to optimize code performance and scale analytical workflows, helping transition complex statistical calculations from standard database queries into efficient, production-grade cloud compute architectures.

🎯 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) • A Master’s degree is strongly preferred • Exceptional expertise in working with, modeling, and optimizing for statistical distributions • Advanced proficiency in Python or R • Expert-level SQL • Direct experience working with panel data or longitudinal consumer data (Big Plus) • Hands-on experience analyzing receipt data or transaction-level consumer data (Big Plus) • Experience working with Databricks and scaling advanced compute workloads (Big Plus)

🏖️ Benefits

• flexible work hours • flexible vacation • generous 401K match • parental leave • team events • wellness budget • learning reimbursement