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Senior Data Scientist, Growth Analytics Engineering

SpringCube

Full time - Senior Engineer

Fintech

United States, San Francisco - California

Published 1 week ago

Salary: 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 global fintech company provides a unified payments and financial platform for businesses worldwide. Leveraging proprietary infrastructure and software, the company supports over 200,000 businesses with integrated solutions for accounts, payments, spend management, treasury, and embedded finance. With a team of over 2,000 professionals across 26 offices globally, the company is valued at US$8 billion and backed by leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital. The organization emphasizes innovation, impact, and scaling global financial operations.

Summary
The Senior Data Scientist, Growth Analytics Engineering, will leverage advanced analytics to drive business growth, optimize strategies, and deliver actionable insights. This role collaborates with cross-functional teams in Growth, Marketing, Sales, and Product, using data-driven decision-making, experimentation, and scalable measurement frameworks to support global expansion.

Responsibilities

  • Partner with Growth, Marketing, Sales, and Product teams to generate actionable insights impacting business outcomes
  • Analyze performance and ROI of marketing and growth initiatives
  • Develop dashboards and scalable measurement frameworks to empower data-informed decisions
  • Identify trends and improvement opportunities to refine growth and marketing strategies
  • Serve as subject matter expert on marketing KPIs and analytics best practices
  • Design and conduct experiments to measure ad spend, brand campaigns, and other initiatives
  • Translate complex business challenges into structured analytics projects
  • Communicate results effectively to both technical and non-technical audiences to influence strategy

Qualifications

  • Minimum 6 years of industry experience and an advanced degree (PhD or MS) in a quantitative field such as Statistics, Engineering, Sciences, Computer Science, or Economics
  • At least 2 years of experience in Marketing Analytics or a similar role
  • Proven track record presenting actionable data-driven recommendations to executives and cross-functional teams
  • Strong technical proficiency with SQL, Python, and/or R; experience with dimensional data modeling and schema design is a plus
  • Familiarity with digital marketing channels including email, paid media, and SEO
  • Excellent communication and interpersonal skills in high-growth, cross-functional environments
  • Experience in technology, financial services, or high-growth organizations is advantageous
  • Preferred: experience mentoring or leading analytics/data science teams, knowledge of Google Analytics, Marketo, Salesforce, and A/B testing frameworks, and ability to perform advanced statistical analysis and develop machine learning models

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in 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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