Data Science Manager, Finance and Strategy

Stripe

Confirmed live yesterday Trusted
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$210,900–$316,300 / yr
Posted
97 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $173k
This role $264k
$110k most similar roles pay here $338k

This role pays more than 92% of similar roles. Most pay $131,687–$214,125 — the shaded band above. At the midpoint, this role pays about $264k versus about $173k for comparable roles.

Based on 240 similar postings.

Employer

About Stripe

Stripe is a financial infrastructure platform for internet businesses, providing payment processing, billing, fraud prevention, and banking-as-a-service APIs to businesses of all sizes globally. Industry: Payments Infrastructure & Financial Technology

Stripe currently has 173 open roles on FindRole.

Listed pay typically runs $190,400–$285,600 across 171 roles with salary data.

Most-posted roles

View all roles at Stripe

At a glance

TL;DR · Data Science Manager, Finance and Strategy

As a Data Science Manager, Finance and Strategy, you will lead a high-performing team of data scientists to build the core forecasting models, data infrastructure, and analytics tools used for measuring and planning business operations. You will manage the roadmap, mentor staff, and oversee the development of hierarchical time series and agentic forecasting tools that predict payment volumes and revenue margins. The role involves designing metrics, building scalable data architectures, and creating technical solutions to inform financial decisions across the organization. You will collaborate with engineering, analytics, operations, finance, and marketing stakeholders while communicating complex modeling decisions to senior leadership. Key requirements include expertise in predictive modeling, time series forecasting, and optimization. You must possess extensive experience managing teams that ship machine learning systems and data products to solve complex technical problems.

What you'll do

  • Drive the roadmap and priorities for your team to enhance company-wide data-driven decision making.
  • Manage a high-performing team of data scientists by coaching them toward technical excellence and career growth.
  • Recruit and onboard new data science talent in collaboration with the recruiting team.
  • Lead the design and development of forecasting models, data infrastructure, and analytics tools.
  • Communicate complex technical solutions and strategic modeling decisions to senior leadership and cross-functional partners.
  • Oversee the creation of governed metrics platforms for executive reporting and company-wide dashboards.
  • Manage the end-to-end lifecycle of machine learning systems and data products at scale.

What we're looking for

  • A PhD, MS, or BS in a quantitative field such as Statistics, Operations Research, Economics, Computer Science, or Engineering.
  • At least 3 years of direct management experience leading data science or ML teams.
  • At least 10 years of overall data science experience.
  • Demonstrated expertise in designing metrics and guiding business decisions with data.
  • Technical expertise to drive clarity regarding architecture and strategic modeling decisions for staff and senior scientists.
  • Experience managing teams that have built and shipped machine learning systems and data products at scale.
  • Clear and persuasive communication skills in both writing and speech.
  • Ability to work cross-functionally while making rigorous decisions and trade-offs.

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