Data Scientist

YipitData

Data Scientist developing analytics solutions at YipitData, leveraging statistical modeling and optimization frameworks for enterprise consumer insights. Join a team of data experts transforming raw data into strategic intelligence.

Posted 7/8/2026full-timeRemote • New York • 🇺🇸 United StatesMid-LevelSenior💰 $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying optimization frameworks and statistical methodologies, with advanced proficiency in Python or R and SQL. Capable of collaborating cross-functionally to enhance analytical workflows and ensure data integrity across diverse product surfaces.

Highest-signal resume keywords

Data Science ExperienceStatistical Distribution ModelingAdvanced Python ProficiencyExpert-Level SQLExperience with Databricks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical Distribution ModelingOptimization Framework DesignAdvanced Python ProficiencyExpert-Level SQLStatistical ProceduresData AnalysisPanel Data ExperienceReceipt Data AnalysisCloud Compute ArchitecturesVersion Control

Tools & Technologies

DatabricksCloud Compute Architectures

Industry Keywords

Quantitative FieldLongitudinal Consumer DataAnalyticsData EngineeringStatistical Methodologies

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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