Unleash your analytical prowess and shape the future of global payments! We're seeking a brilliant mind to join our partner's team and revolutionize online payment infrastructure.
 

About the company

Fast-track your career with the Marlee Talent Pool. We're not just matching you with your ideal roles but unlocking your long-term career potential. Marlee goes above and beyond by identifying key strengths for your CV, helping you discover a career direction you might not have considered where you can truly thrive, and guiding you to develop those essential soft human skills that close gaps in your resume.

Marlee's innovative approach then places you in teams where you'll flourish. Using cutting-edge motivational science, we connect you with roles in teams and within organizations that make your heart sing and help our partners build their dream teams.

About the role

Our partner is on a mission to create a game-changing online payment infrastructure, empowering merchants worldwide to boost their card payment success rates. As a Data Scientist in the algorithm team, you'll be the bridge between deep domain expertise and cutting-edge data science. 

Your role? 

To dynamically fine-tune card scheme messages and transaction verifications, increasing the chances of issuing banks authorizing payments. 

Here's what you'll be doing: 

• Craft machine learning and statistical models to tackle complex business challenges using large-scale data sets 
• Define metrics, uncover insights, and design experiments to measure impact and guide business decisions 
• Collaborate with product, engineering, and cross-functional teams to shape and execute product strategy 

What you'll bring to the table: 

• 4+ years of industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g., Statistics, Engineering, Sciences, Computer Science, Economics) 
• A knack for communicating analysis results to executives and cross-functional teams, influencing strategy 
• Expertise in data querying languages (e.g., SQL), scripting languages (e.g., Python), and/or statistical/mathematical software (e.g., R) 
• Mastery of machine learning and statistical modeling to drive data-informed decisions 
• Experience in technology, financial services, and/or high-growth environments is a plus