Senior Data Scientist, Growth Analytics Engineering

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Company Overview

A leading global financial technology company provides a unified payments and financial platform designed for businesses operating internationally. Through proprietary infrastructure and software solutions, the organization enables businesses worldwide to manage accounts, payments, spend management, treasury functions, and embedded finance on a global scale. With a strong international presence and a rapidly growing team of technology professionals, the company continues to drive innovation in the future of global financial services.

The organization is seeking a Senior Data Scientist, Growth Analytics Engineering to join its Growth Analytics team. This role focuses on leveraging data to drive business growth, optimize marketing and sales strategies, and develop scalable measurement frameworks that support global expansion initiatives.

The successful candidate will collaborate closely with Growth, Marketing, Sales, and Product teams to deliver actionable insights, lead analytics initiatives, and influence strategic business decisions. This position is ideal for a data professional who thrives in high-growth environments and enjoys solving complex business challenges through advanced analytics and experimentation.

Key Responsibilities

• Partner with Growth, Marketing, Sales, and Product teams to derive actionable, data-driven insights that improve business outcomes.
• Analyze data to assess the performance and return on investment (ROI) of marketing and growth initiatives.
• Develop dashboards and scalable measurement frameworks to support data-driven decision-making.
• Identify trends, patterns, and opportunities to enhance marketing and growth strategies.
• Serve as a subject matter expert on marketing KPIs and analytics best practices.
• Design and execute experiments to measure the effectiveness of advertising spend, brand campaigns, and other growth initiatives.
• Translate complex business challenges into structured, high-impact analytics projects.
• Communicate findings and recommendations effectively to both technical and non-technical stakeholders.
• Support strategic decision-making through data analysis and business intelligence initiatives.

Required Qualifications

• Minimum of 6 years of industry experience with an advanced degree (MS or PhD) in a quantitative field such as Statistics, Engineering, Computer Science, Economics, or related disciplines.
• At least 2 years of experience in Marketing Analytics or a similar analytical role.
• Proven track record of presenting actionable, data-driven recommendations to executive leadership and cross-functional teams.
• Strong technical proficiency in SQL, Python, and/or R.
• Experience with dimensional data modeling and schema design is considered an advantage.
• Familiarity with digital marketing channels, including email marketing, paid media, and SEO.
• Excellent communication and interpersonal skills, particularly within fast-paced and cross-functional environments.
• Experience in technology, financial services, fintech, or other high-growth organizations is advantageous.

Preferred Qualifications

• Experience mentoring or leading analytics or data science teams.
• Familiarity with tools such as Google Analytics, Marketo, Salesforce, and A/B testing frameworks.
• Ability to perform advanced statistical analyses and develop machine learning models.

Disclaimer

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