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Staff Data Scientist, Growth Analytics Engineering

San Francisco

SpringCube

Full-time - Senior Engineer

Fintech

Posted 3 weeks ago

Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview

A leading global financial technology organization is building a unified payments and financial platform that enables businesses worldwide to manage accounts, payments, spend management, treasury, and embedded finance through integrated technology solutions. With a global presence and a rapidly growing customer base, the company is focused on driving innovation in financial services while empowering businesses to scale internationally.

The organization is seeking a Staff Data Scientist, Growth Analytics Engineering to serve as the technical lead for its Growth Analytics function. This role will partner closely with Growth, Marketing, Sales, Product, and Data Science stakeholders to identify growth opportunities, shape strategic initiatives, and deliver impactful, data-driven solutions across the business.

The successful candidate will combine technical expertise, leadership capabilities, and business acumen to drive measurable outcomes. This position offers the opportunity to mentor team members, influence company-wide strategies, and contribute to the organization’s next phase of global growth through analytics and innovation.

Key Responsibilities

  • Act as a technical partner to Growth, Marketing, Sales, and Data Science leaders to support and implement growth strategies.
  • Lead and mentor team members in applying data science methodologies, including statistical modeling, experimentation, and root-cause analysis.
  • Develop scalable measurement frameworks to enable data-driven decision-making across multiple business functions.
  • Communicate complex analytical insights and recommendations effectively to both technical and non-technical stakeholders.
  • Translate ambiguous or complex business challenges into structured, high-impact data science initiatives.
  • Serve as the technical owner for critical cross-functional projects and provide mentorship to junior data scientists.
  • Identify opportunities to improve acquisition, activation, retention, and reactivation strategies through advanced analytics.
  • Partner with stakeholders to establish scalable experimentation and performance measurement practices.

Required Qualifications

  • Minimum of 7 years of industry experience in a quantitative field such as Statistics, Engineering, Computer Science, Economics, or related disciplines.
  • Advanced degree (MS or PhD) preferred.
  • Demonstrated experience leading or mentoring data science or analytics teams.
  • Strong communication and interpersonal skills with the ability to influence strategy in high-growth, cross-functional environments.
  • Proven track record of leveraging data science to deliver measurable business growth outcomes.
  • Proficiency in SQL and Python or R; experience with data modeling is an advantage.
  • Experience working within technology, financial services, fintech, or other high-growth environments is preferred.
  • Experience mentoring teams in startup or fast-paced environments is beneficial.

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals globally.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. To Apply: Click the Apply button to be redirected to the hiring company’s application page for this job.
  4. No Liability: SpringCube is not liable for inaccuracies.

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SpringCube is a specialist career platform for AI, Data & Cloud Engineering professionals, connecting top ML, data, and cloud talent with leading tech employers hiring across the San Francisco Bay Area.

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