Remote Senior Data Scientist Ads Marketplace Analytics
\nWe are looking for a Senior level Data Scientist to work with our Ads product team. You will partner closely with cross functional team leaders such as GPMs, EMs and leadership in utilizing data to drive decision making. In addition to strong analytical skills, you will have a keen business acumen and the big picture thinking that can guide our Marketplace strategy in a data driven manner.\n\nReddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.\n\nHow Youโll Have Impact:\n\nAdvertising is Redditโs primary business model and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities that drive action. This large number of self-governed communities have highly-engaged users who are in an unduplicated mindset of consuming relevant information. This has created the opportunity for Reddit to build a massive and highly differentiated ads business.\n\nWe spent the past few years building the foundations of a modern ad serving system, building features to help brand and performance advertisers find their audiences on Reddit and get high ROI on their ad spend. Weโre now ready to build differentiated products on top of those foundations, utilizing data to drive the product decisions for both short term and long term bets. \n\nAs a data scientist on the ads data science team, youโll be a key player in ensuring we make the right product decisions based on data insights and help define the culture that is driven through metrics and KPIs. Reddit sits in a unique place, where there are still a lot of low hanging fruit that will immediately impact millions of users and thousands of advertisers.\n\nWhat Youโll Learn:\n\n\nYou will partner closely with our Ads Product and Engineering team, which is the core driver of revenue for the company. Youโll play a key role in developing Ads product strategy and experiments. Youโll play with petabytes of data full of user and advertiser interactions to develop a deeper understanding of Redditโs ads ecosystem. \n\nIn addition, you will work side by side with a world-class org of Engineering, ML, Search, Data Science, Data Warehouse, and Analytics practitioners who work together to create a variety of capabilities for Reddit to be more successful in its decision-making and product creation. In this process, you will be exposed to a variety of new techniques in experimentation, statistical frameworks, machine learning, deep learning, and causal inference.\n\n\n\n\nWhat Youโll Do:\n\n\nAnalyze conversations and behaviors across Reddit's 10,000 interest-based communities, and convert them into insights and product recommendations.\n\nUnderstand Reddit advertising and help the company improve Ads Revenue while simultaneously improving ROAS (Return on Ads Spend) for advertisers and ads quality for users.\n\nConduct product/feature analyses, opportunity sizing, experimentation (A/B testing) and build dashboards/visualizations to assess product health.\n\nOrganize data by designing table schemas, data pipelines, aggregations, alerts and general data infrastructure for the Ads Organization.\n\nCollaborate with various cross-functional stakeholders, including Product Managers, Engineers, Designers, UX Researchers, Data Engineers and Data Warehouse Engineers to lead projects related to organizing and analyzing data.\n\nBe an integral part of the Data Org, leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts.\n\n\n\n\nWho You Might Be:\n\n\n5+ years of experience in data analytics or related quantitative role\n\n2+ years of experience in the digital advertising space\n\nDemonstrated ability to influence and guide product strategy with data\n\nDemonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way\n\nDesire to mentor other data scientists and share best practices to elevate the data science practice at Reddit\n\nStrong ability to communicate and discuss complex topics with technical & non-technical audiences\n\nProficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python)\n\nProficiency with dashboarding tools (e.g. Mode Analytics, Tableau, Looker)\n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Ads, Data Science, Senior and Stats jobs that are similar:\n\n
$70,000 — $122,500/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐ We hire old (and young)\n\n
\n\n#Location\nOttawa, Ontario, Canada
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