Algorithms Engineer

Ever wondered what it takes to connect millions of consumers with the perfect brands online, all while driving incredible results for businesses? At QuinStreet, that is exactly what we do. Our pioneering spirit in performance marketing has been leading the way for over two decades. We are looking for a talented Algorithms Engineer to dive deep into our vast datasets, unearthing the insights that power our unique, AI driven marketplaces. This isn't just about tweaking numbers; it is about shaping the future of digital media performance, from anywhere in the world.

Overview

QuinStreet stands as a pioneer in powering decentralized online marketplaces. We expertly match searchers and consumers actively researching and comparing products with leading brands. Operating within one of the nation's largest media networks, we run both virtual and private label marketplaces. Our industry leading segmentation and AI driven matching technologies are designed to help consumers discover better solutions and connect with brands faster. These technologies empower brands to target and reach prospective customers who are actively in market with pinpoint segment by segment accuracy. Brands also benefit from paying only for performance results, a core tenet of our business model.

Our campaign results driven matching decision engines and optimization algorithms are built upon more than 20 years and billions of dollars of online media experience. We strongly believe in the direct measurability of digital media, the power of performance marketing (which we pioneered), and the distinct advantages technology brings. By bringing all these elements together, we deliver truly great results for consumers and brands within the world's biggest channel. This role is a fully remote, worldwide opportunity, inviting top talent from across the globe to contribute to our innovative team.

Key Responsibilities

Generate deep analytical insights from extensive datasets, identifying strategic opportunities for improvement in both internal and business Key Performance Indicators (KPIs).
Develop, refine, and implement advanced algorithms for consumer brand matching, bidding strategies, and overall campaign optimization.
Proactively identify trends, anomalies, and underlying patterns within marketplace data to inform critical decision making.
Design and execute A/B tests and other experimental frameworks to evaluate algorithm performance and impact.
Collaborate closely with product managers, data scientists, and engineering teams to translate analytical insights into actionable product features and system enhancements.
Monitor the performance of deployed algorithms, ensuring their effectiveness and adapting them to evolving market conditions and business objectives.
Communicate complex analytical findings and recommendations clearly and concisely to both technical and non technical stakeholders.

Requirements

Proven experience in a quantitative role focused on algorithm development and data analysis.
Strong proficiency in programming languages commonly used for data science and algorithm implementation, such as Python or R.
Solid experience with SQL for data extraction and manipulation.
Deep understanding of statistical modeling, machine learning techniques, and optimization algorithms.
Ability to translate complex data problems into clear analytical frameworks and propose data driven solutions.
Exceptional problem solving skills with a meticulous attention to detail.
Excellent communication skills, capable of articulating technical concepts to diverse audiences.
A Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field.
Experience in digital media, advertising technology (adtech), or performance marketing is a significant advantage.

What You'll Gain

The chance to make a significant impact on core business functions, shaping the future of performance marketing and digital media marketplaces.
Work with a pioneering company that has consistently innovated in a dynamic industry for over two decades.
Join a collaborative and supportive remote team, contributing to a global company culture.
Opportunity for continuous learning and professional growth within a data rich, technology focused environment.
Competitive compensation and benefits, recognizing your valuable contributions.