Zip

Senior/Staff Data Scientist, EPD

Zip3 weeks ago
Location

San Francisco

Type

Full Time

Salary

USD 180,000 – 220,000

Level

Senior

Role

Data Scientist

Posted

Jun 4, 2026

Full TimeSenior

The role

Summary

Zip is seeking a Senior/Staff Data Scientist to join their Procure-to-Pay (P2P) team, focusing on developing data-driven solutions that transform complex business challenges into actionable insights. The ideal candidate will leverage comprehensive data resources to create impactful metrics, data pipelines, and compelling visualizations that drive strategic decision-making for enterprise procurement innovations.

What you'll do

Data Analysis and Insights: Develop comprehensive data models and extract valuable insights from complex datasets to support business operations and strategic decision-making
Data Pipeline Development: Build and maintain simple, efficient data pipelines that enable comprehensive data processing and analysis
Visualization and Reporting: Create intuitive dashboards, generate detailed reports, and translate complex data findings into actionable business recommendations
Cross-Functional Collaboration: Work closely with leadership and cross-functional teams to identify analytical challenges and implement data-driven solutions

What we look for

Technical

Programming LanguagesAdvanced proficiency in SQL and Python for data analysis and manipulation
Statistical MethodsStrong foundation in statistical analysis and application of advanced statistical techniques
Data VisualizationExpertise in transforming complex data insights into clear, compelling visual representations

Education

Minimum EducationBachelor's degree in Mathematics, Statistics, Economics, Engineering, or related technical field
Preferred EducationMaster's degree or higher in a relevant technical discipline

Experience

Professional Experience4-8 years of professional experience in Data Science, Data Engineering, or Data Analysis roles

Skills

Required skills

SQLAdvanced querying and data manipulation skills
PythonProficient programming for data analysis and modeling
Statistical AnalysisAbility to apply advanced statistical methods to business challenges
Data VisualizationCreating insightful and actionable data visualizations

Nice to have

Data ToolsExperience with Airflow, Superset, Omni, Sigma, Looker, or Tableau
AI ToolsFamiliarity with AI tools for analysis and dashboard creation
Software DevelopmentUnderstanding of development processes, code reviews, and testing practices

Compensation & benefits

Salary

USD 180,000 – 220,000 (annual)

Stock options

Available

Benefits

Health Coverage

100% coverage for health, vision, and dental insurance

Equity

Start-up equity compensation

Flexible Work

Hybrid work model with 5 flexible remote days per quarter

Professional Development

Home office stipend and technology reimbursement

Wellness Benefits

ClassPass membership and comprehensive employee assistance program

Leave Policies

Flexible PTO and paid parental leave


Interview process

  1. 1
    Initial Screening Initial review of application and resume by recruiting team
  2. 2
    Technical Assessment Data science skills evaluation, potentially including coding challenge or statistical problem-solving task
  3. 3
    Technical Interviews In-depth technical interviews focusing on data analysis, statistical methods, and problem-solving skills
  4. 4
    Leadership Interview Discussion with team leadership to assess cultural fit and strategic thinking
  5. 5
    Final Interview Comprehensive interview covering technical skills, experience, and potential contributions to Zip's data science initiatives

Apply for this position

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