Senior/Staff Data Scientist, EPD

Zip

Remote

Quick summary

Work type: Remote
Location: San Francisco, CA
Salary: $180,000–$220,000 / yr
Posted: 8 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $163k

This role $200k

$107k most similar roles pay here $232k

This role pays more than 76% of similar roles. Most pay $126,800–$199,800 — the shaded band above. At the midpoint, this role pays about $200k versus about $163k for comparable roles.

Based on 240 similar postings.

Employer

About Zip

Zip Co is a global buy-now, pay-later company offering flexible installment payment solutions to consumers and merchants, enabling interest-free purchases across retail, travel, and healthcare. Industry: Financial Technology & Consumer Lending

Zip currently has 9 open roles on FindRole.

Listed pay typically runs $180,000–$240,000 across 9 roles with salary data.

Most-posted roles

View all roles at Zip

At a glance

TL;DR · Senior/Staff Data Scientist, EPD

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As a founding Data Scientist for Procure-to-Pay at Zip, you will join a dynamic team to develop data-driven solutions that address business challenges and drive sustainable growth. Your daily tasks include building simple data pipelines, creating intuitive dashboards, generating reports, and delivering actionable recommendations through insightful analysis and compelling storytelling. You should have 4-8 years of experience in roles like Data Science or Engineering, with expertise in SQL and Python, statistical methods, and data visualization tools such as Airflow, Superset, and Tableau. Ideal candidates possess strong project management skills, excellent communication abilities, and a proven track record of cross-functional collaboration to deliver impactful results at scale.

Skills

SQL Python Airflow Superset Looker Tableau CI/CD PostgreSQL Kubernetes Docker Prometheus Grafana Git Jupyter Notebook Scikit-learn Pandas NumPy Matplotlib Seaborn

What you'll do

Develop and maintain data pipelines to support business operations.
Create intuitive dashboards and reports that drive informed decision-making.
Analyze complex datasets to address business challenges and provide insights.
Translate data insights into actionable recommendations for leadership.
Collaborate with cross-functional teams to implement data-driven solutions.

What we're looking for

4-8 years of experience in data science, engineering, or analysis roles.
Bachelor’s degree in Mathematics, Statistics, Economics, Engineering, or related field.
Proficient in SQL and Python programming languages.
Strong foundation in statistical methods and applications.
Skillful in data visualization and translating insights into actionable recommendations.
Exceptional project management capabilities with attention to detail.
Excellent communication skills for presenting findings and influencing decisions.

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