Staff Analytics Engineer, Ads

August 22

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Reddit, Inc.

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Software Engineering • Full-Stack Engineering • Frontend Engineering • Backend Engineering • Social Media

501 - 1000

Description

• Reddit is poised to rapidly innovate and grow like no other time in its history and the Ads team fuels that growth. As an Analytics Engineering lead on the Ads Data Science team, you will achieve a Reddit-wide impact by leading a team of full-stack data scientists and performing hands-on execution. • You will create a first-class Ads data warehouse and data tools to provide scalable solutions that meet a wide range of evolving needs - including high-quality metric reporting, product insights, and data engineering for ML models. • You will play a critical role in making ads data more accessible across reddit - unlocking innovation through the self-service of our data from Engineering to Sales teams.

Requirements

• MS or PhD in a quantitative discipline: engineering, statistics, operations research, computer science, informatics, applied mathematics, economics, etc. • 7+ years of experience working with large-scale ETL systems (implementation, strategy, and maintenance), building clean, maintainable, object-oriented code (Python preferred) in a production environment. • Strong programming proficiency in Python, SQL, Spark, Scala, etc. • Experience with data modeling, ETL (Extraction, Transformation & Load) concepts, and patterns for efficient data governance. Experience with manipulating massive-scale structured and unstructured data. • Experience with data workflows (such as Airflow), data modeling, front-end or back-end engineering. • Experience in data visualization and dashboard design, including tools such as Looker, Tableau, R visualization packages, streamlit, D3, and other libraries, etc. • Deep understanding of technical and functional designs for relational and MPP Databases • Proven track record of cross-functional execution and collaboration. Excellent communication skills to collaborate with cross-functional stakeholders at all levels of the company. • Experience in mentoring junior data scientists and analytics engineers. • Self starter, ability to work independently and autonomously, as well as part of a team.

Benefits

• Comprehensive Healthcare Benefits • 401k Matching • Workspace benefits for your home office • Personal & Professional development funds • Family Planning Support • Flexible Vacation (please use them!) & Reddit Global Wellness Days • 4+ months paid Parental Leave • Paid Volunteer time off