Data Scientist • Mid-Level

Who you are

You have a strong background in data science, with experience in leveraging data to drive business decisions — you've worked on projects that required deep analytical skills and a solid understanding of machine learning techniques. You are proficient in SQL and Python, enabling you to manipulate and analyze large datasets effectively. Your experience includes A/B testing and data analysis, allowing you to derive actionable insights from experiments and user behavior.

You thrive in collaborative environments, working closely with cross-functional teams to enhance advertising strategies — your ability to communicate complex data findings to non-technical stakeholders is a key strength. You are passionate about using data to improve user experiences and drive business growth, particularly in the context of digital advertising.

What you'll do

As a Data Scientist on the Ads team at Reddit, you will focus on maximizing advertiser value through data-driven insights — you'll work on a variety of projects, including ads targeting, relevance modeling, and auction optimization. Your role will involve designing and analyzing experiments to measure the effectiveness of advertising strategies, ensuring that data informs decision-making processes.

You will collaborate with engineers and product managers to develop robust data foundations and metrics that support the advertising business — your insights will help shape the future of Reddit's ads platform. You will also be responsible for presenting your findings to stakeholders, translating complex data into clear recommendations that drive action.

What we offer

Reddit offers a flexible work environment, fully remote options, and a commitment to diversity and inclusion within the workplace. You will have the opportunity to work with a talented team of data scientists and engineers, pushing the boundaries of what's possible in the realm of digital advertising. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.