&lt;div class=&quot;content-intro&quot;&gt;&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Airbnb is a mission-driven company dedicated to helping create a world where anyone can belong anywhere. It takes a unified team committed to our core values to achieve this goal. Airbnb&#39;s various functions embody the company&#39;s innovative spirit and our fast-moving team is committed to leading as a 21st century company.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;strong&gt;The Challenge&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Airbnb’s mission is to create a world where people can Belong Anywhere. As we grow to achieve that mission. We are rebuilding our Data Engineering practice to enable the company’s success by building a solid data foundation. We are seeking stunning Senior Data Engineers to help us define and realize our vision for trustworthy data across the company. This is a unique opportunity to join Data Engineering for a strong, but high potential, company early in its lifecycle.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;The Challenge&amp;nbsp;&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Be a thought leader, partner with your cross-functional partners to foster a data driven payments organization.&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;With a focus on Payments compliance and keeping our platform safe, anticipate and&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;detect new fraud trends and regulatory requirements.&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Define and evaluate key metrics. Build the data foundation you need, in partnership with the data engineering team.&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Deliver actionable user-insights to build the best products and models&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Design experiments to measure the impact of new payments features&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Empower the product and engineering teams to make data-driven decisions&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;What you need to succeed&amp;nbsp;&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;6+ years industry experience in a quantitative analysis role. Experience in Payments a&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;strong plus&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Fluent in SQL and proficiency in analytical tools such as Python, R, etc.&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Background in statistics and experience with experimentation&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Solid understanding of product analytics&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Experience or willingness to learn tools to create data pipelines using Airflow/Minerva&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Ability to communicate clearly and effectively to cross functional partners of varying technical levels&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;

Data Scientist

&lt;p&gt;&lt;strong&gt;Data Scientist, insights (NY)&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Are you passionate about solving problems about how teams operate and stay on track to succeed in their goals? We are looking for a collaborative Data Scientist to join our Data Science team and partner with the Insights team in NYC.&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;The Insights team is responsible for creating some of the most visible features in Asana, including Reporting, Project Dashboards and Timeline. They are focused on helping the world’s teams gain insight into their work by enabling them to drill down into their progress towards goals, and either stay on track, or figure out how to get back on track. You will help them achieve their vision by working with product, engineering, design, user experience research and product marketing to make sure we are asking (and answering) the right questions and building the highest impact features.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;What you’ll achieve&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Designing and analyzing experiments to measure the impact of new product features&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Investigating high-level questions like “How do the most successful teams using Asana set up their Reporting?”&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Collaborating with cross functional teams to make decisions on what effective reporting and project progress monitoring looks like under different use cases.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Adding new metrics and aggregations to our data warehouse to make new classes of questions answerable.&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Solving users’ progress and status reporting problems through data intelligent products via Machine Learning models.&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;About you&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Bachelor Degree in Computer Science, Math, Statistics, Engineering, a related quantitative field, or equivalent experience.&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;4+ years of experience in applying data science techniques to drive technical product development and decision-making&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Strong technical background in computer science, statistics, math, information science, or another quantitative field&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Strong ability in managing stakeholders, communicating complex concepts to diverse audiences, and crafting compelling stories&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Experience in scoping and planning projects with stakeholders, and driving technical execution.&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Fluency in at least one modern language useful for data processing (e.g. Python, Scala)&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Proficiency with relational data modeling and SQL&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Expertise in statistical methods and experimental design and analysis&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Familiar with distributed data processing systems (e.g. Spark, Redshift)&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About us&lt;/strong&gt;&lt;/p&gt;
&lt;p data-pm-slice=&quot;1 1 []&quot;&gt;&lt;em&gt;Asana enables &lt;a class=&quot;ProsemirrorEditor-link&quot; href=&quot;https://asana.com/customers&quot;&gt;millions of teams&lt;/a&gt; around the world to achieve their goals together, from small projects to strategic initiatives. For the past 5 years, we&#39;ve been named a top workplace by &lt;a class=&quot;ProsemirrorEditor-link&quot; href=&quot;https://www.greatplacetowork.com/best-workplaces/smb/2021?category=medium&quot;&gt;Fortune&lt;/a&gt;, &lt;a class=&quot;ProsemirrorEditor-link&quot; href=&quot;https://www.greatplacetowork.com/certified-company/1316345&quot;&gt;Great Place to Work&lt;/a&gt;, &lt;a class=&quot;ProsemirrorEditor-link&quot; href=&quot;https://www.fastcompany.com/90600358/workplace-most-innovative-companies-2021&quot;&gt;Fast Company&lt;/a&gt;, &lt;a class=&quot;ProsemirrorEditor-link&quot; href=&quot;https://www.glassdoor.com/Award/Best-Small-and-Medium-Companies-to-Work-For-LST_KQ0,43.htm&quot;&gt;Glassdoor&lt;/a&gt;, and &lt;a class=&quot;ProsemirrorEditor-link&quot; href=&quot;https://www.builtinnyc.com/companies/best-places-to-work-nyc-2022&quot;&gt;Built In&lt;/a&gt; for our inclusive culture that drives business results. After spending more than two years physically distanced, we&#39;re safely and mindfully returning to in-person collaboration, adding more flexibility to our &lt;a class=&quot;ProsemirrorEditor-link&quot; href=&quot;https://blog.asana.com/2021/04/reuniting-teams/&quot;&gt;office-centric hybrid culture&lt;/a&gt;. With offices all over the world, we are always looking for curious, collaborative, and mission-driven people to help us enable the world’s teams to work together effortlessly.&lt;/em&gt;&lt;/p&gt;&lt;/div&gt;

Data Scientist, Insights

&lt;p&gt;&lt;strong&gt;Data Scientist, Product (NY)&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;The Data Science team works closely with our product, customer success, and sales teams; we work to make sure teams are asking the right questions and then find those answers. Our data informs us of the impact we are having on the world, and our team is crucial to architecting and building our data infrastructure. We also design and use data analysis tools that increase our data’s scalability, accuracy, and accessibility. We understand our company’s goals and proactively inform their direction with data so that our product can help more teams do great things.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;As a Data Scientist at Asana, you’ll help us ask the right questions and answer them rigorously. You’ll work closely with our Product and Business teams to understand their goals and proactively inform their direction with data. You’ll keep taking on new responsibilities as you grow—from defining core metrics to building machine learning models and keeping the data flowing in our pipelines.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;What you&#39;ll achieve&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Designing and analyzing experiments to measure the impact of new product features&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Investigating high-level questions like “What are the collaborative patterns of the most successful teams using Asana?”&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Adding new metrics and aggregations to our data warehouse to make new classes of questions answerable&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Building models to predict the growth trajectory of different customer segments&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;About you&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;
&lt;div class=&quot;FeedBlockStory FeedBlockStory--withSmallDropdownButton TaskStoryFeed-blockStory&quot;&gt;
&lt;div class=&quot;BlockStory&quot;&gt;
&lt;div class=&quot;BlockStory-block&quot;&gt;
&lt;div class=&quot;BlockStory-body&quot;&gt;
&lt;div class=&quot;TruncatedRichText&quot;&gt;
&lt;div class=&quot;RichText TruncatedRichText-richText&quot;&gt;Bachelor Degree in Computer Science, Math, Statistics, Engineering, a related quantitative field, or equivalent experience.&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;3+ years of experience in applying data science techniques to drive technical product development and decision-making&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Strong technical background in computer science, statistics, math, information science, or another quantitative field&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Fluency in at least one modern language useful for data processing (e.g. Python, Scala)&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Proficiency with relational data modeling and SQL&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Expertise in statistical methods and experimental design and analysis&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Experience with measurement techniques for search ranking/relevance/quality&lt;br&gt;&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Experience with distributed data processing systems (e.g. Spark, Redshift)&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Background in advanced statistical modeling (e.g. GLM, mixed effects) and/or machine learning&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About us&lt;/strong&gt;&lt;/p&gt;
&lt;p data-pm-slice=&quot;1 1 []&quot;&gt;&lt;em&gt;Asana enables &lt;a class=&quot;ProsemirrorEditor-link&quot; href=&quot;https://asana.com/customers&quot;&gt;millions of teams&lt;/a&gt; around the world to achieve their goals together, from small projects to strategic initiatives. For the past 5 years, we&#39;ve been named a top workplace by &lt;a class=&quot;ProsemirrorEditor-link&quot; href=&quot;https://www.greatplacetowork.com/best-workplaces/smb/2021?category=medium&quot;&gt;Fortune&lt;/a&gt;, &lt;a class=&quot;ProsemirrorEditor-link&quot; href=&quot;https://www.greatplacetowork.com/certified-company/1316345&quot;&gt;Great Place to Work&lt;/a&gt;, &lt;a class=&quot;ProsemirrorEditor-link&quot; href=&quot;https://www.fastcompany.com/90600358/workplace-most-innovative-companies-2021&quot;&gt;Fast Company&lt;/a&gt;, &lt;a class=&quot;ProsemirrorEditor-link&quot; href=&quot;https://www.glassdoor.com/Award/Best-Small-and-Medium-Companies-to-Work-For-LST_KQ0,43.htm&quot;&gt;Glassdoor&lt;/a&gt;, and &lt;a class=&quot;ProsemirrorEditor-link&quot; href=&quot;https://www.builtinnyc.com/companies/best-places-to-work-nyc-2022&quot;&gt;Built In&lt;/a&gt; for our inclusive culture that drives business results. After spending more than two years physically distanced, we&#39;re safely and mindfully returning to in-person collaboration, adding more flexibility to our &lt;a class=&quot;ProsemirrorEditor-link&quot; href=&quot;https://blog.asana.com/2021/04/reuniting-teams/&quot;&gt;office-centric hybrid culture&lt;/a&gt;. With offices all over the world, we are always looking for curious, collaborative, and mission-driven people to help us enable the world’s teams to work together effortlessly.&lt;/em&gt;&lt;/p&gt;&lt;/div&gt;

Data Scientist, Product

&lt;p&gt;&lt;strong&gt;Data Scientist, Product (SF)&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;The Data Science team works closely with our product, customer success, and sales teams; we work to make sure teams are asking the right questions and then find those answers. Our data informs us of the impact we are having on the world, and our team is crucial to architecting and building our data infrastructure. We also design and use data analysis tools that increase our data’s scalability, accuracy, and accessibility. We understand our company’s goals and proactively inform their direction with data so that our product can help more teams do great things.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;As a Data Scientist at Asana, you’ll help us ask the right questions and answer them rigorously. You’ll work closely with our Product and Business teams to understand their goals and proactively inform their direction with data. You’ll keep taking on new responsibilities as you grow—from defining core metrics to building machine learning models and keeping the data flowing in our pipelines.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;What you&#39;ll achieve&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Designing and analyzing experiments to measure the impact of new product features&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Investigating high-level questions like “What are the collaborative patterns of the most successful teams using Asana?”&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Adding new metrics and aggregations to our data warehouse to make new classes of questions answerable&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Building models to predict the growth trajectory of different customer segments&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;About you&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;
&lt;div class=&quot;FeedBlockStory FeedBlockStory--withSmallDropdownButton TaskStoryFeed-blockStory&quot;&gt;
&lt;div class=&quot;BlockStory&quot;&gt;
&lt;div class=&quot;BlockStory-block&quot;&gt;
&lt;div class=&quot;BlockStory-body&quot;&gt;
&lt;div class=&quot;TruncatedRichText&quot;&gt;
&lt;div class=&quot;RichText TruncatedRichText-richText&quot;&gt;Bachelor Degree in Computer Science, Math, Statistics, Engineering, a related quantitative field, or equivalent experience.&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;3+ years of experience in applying data science techniques to drive technical product development and decision-making&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Strong technical background in computer science, statistics, math, information science, or another quantitative field&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Fluency in at least one modern language useful for data processing (e.g. Python, Scala)&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Proficiency with relational data modeling and SQL&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Expertise in statistical methods and experimental design and analysis&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Experience with measurement techniques for search ranking/relevance/quality&lt;br&gt;&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Experience with distributed data processing systems (e.g. Spark, Redshift)&lt;/span&gt;&lt;/li&gt;
&lt;li style=&quot;font-weight: 400;&quot;&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;Background in advanced statistical modeling (e.g. GLM, mixed effects) and/or machine learning&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About us&lt;/strong&gt;&lt;/p&gt;
&lt;p data-pm-slice=&quot;1 1 []&quot;&gt;&lt;em&gt;Asana enables &lt;a class=&quot;ProsemirrorEditor-link&quot; href=&quot;https://asana.com/customers&quot;&gt;millions of teams&lt;/a&gt; around the world to achieve their goals together, from small projects to strategic initiatives. For the past 5 years, we&#39;ve been named a top workplace by &lt;a class=&quot;ProsemirrorEditor-link&quot; href=&quot;https://www.greatplacetowork.com/best-workplaces/smb/2021?category=medium&quot;&gt;Fortune&lt;/a&gt;, &lt;a class=&quot;ProsemirrorEditor-link&quot; href=&quot;https://www.greatplacetowork.com/certified-company/1316345&quot;&gt;Great Place to Work&lt;/a&gt;, &lt;a class=&quot;ProsemirrorEditor-link&quot; href=&quot;https://www.fastcompany.com/90600358/workplace-most-innovative-companies-2021&quot;&gt;Fast Company&lt;/a&gt;, &lt;a class=&quot;ProsemirrorEditor-link&quot; href=&quot;https://www.glassdoor.com/Award/Best-Small-and-Medium-Companies-to-Work-For-LST_KQ0,43.htm&quot;&gt;Glassdoor&lt;/a&gt;, and &lt;a class=&quot;ProsemirrorEditor-link&quot; href=&quot;https://www.builtinnyc.com/companies/best-places-to-work-nyc-2022&quot;&gt;Built In&lt;/a&gt; for our inclusive culture that drives business results. After spending more than two years physically distanced, we&#39;re safely and mindfully returning to in-person collaboration, adding more flexibility to our &lt;a class=&quot;ProsemirrorEditor-link&quot; href=&quot;https://blog.asana.com/2021/04/reuniting-teams/&quot;&gt;office-centric hybrid culture&lt;/a&gt;. With offices all over the world, we are always looking for curious, collaborative, and mission-driven people to help us enable the world’s teams to work together effortlessly.&lt;/em&gt;&lt;/p&gt;&lt;/div&gt;

&lt;h3&gt;&lt;strong&gt;About Us:&lt;/strong&gt;&lt;/h3&gt;
&lt;p&gt;We&#39;re on a mission to make it possible for every person, team, and company to be able to tailor their software to solve any problem and take on any challenge. Computers may be our most powerful tools, but most of us can&#39;t build or modify the software we use on them every day. At Notion, we want to change this with focus, design, and craft.&lt;/p&gt;
&lt;p&gt;We&#39;ve been working on this together since 2016, and have customers like Pixar, Mitsubishi, Figma, Plaid, Match Group, and thousands more on this journey with us. Today, we&#39;re growing fast and excited for new teammates to join us who are the best at what they do. We&#39;re passionate about building a company as diverse and creative as the millions of people Notion reaches worldwide.&lt;/p&gt;
&lt;h3&gt;About The Role:&lt;/h3&gt;
&lt;p&gt;Since the launch of Notion, the company has been on a mission to make toolmaking ubiquitous - from wikis to documents, notes, tasks, databases, etc. A strong product intuition and focus on users have helped the company achieve adoption across businesses of all sizes. Today, millions of users rely on Notion&#39;s building blocks to get their work done.&lt;/p&gt;
&lt;p&gt;As Notion continues to grow quickly, there is a unique opportunity to build the foundations of data and help the product and company reach their full potential. This is where you come in — to design and build reliable, trusted and timely datasets that accelerate the decision-making process of key product and business functions. You will have a strong impact on the roadmap and the growth trajectory of the company.&lt;/p&gt;
&lt;h3&gt;What You&#39;ll Achieve:&lt;/h3&gt;
&lt;ul&gt;
&lt;li&gt;You&#39;ll define the processes and ETL infrastructure to transform and make data readily available across the company&lt;/li&gt;
&lt;li&gt;You&#39;ll build core datasets to serve as unique sources of truth for product and business functions (product, marketing, sales, finance, customer experience, data science, business operations, IT, engineering)&lt;/li&gt;
&lt;li&gt;You&#39;ll partner with data scientists and other internal stakeholders to understand their needs and then design, build and monitor pipelines that meet today&#39;s requirements but can gracefully scale with our growing data size&lt;/li&gt;
&lt;li&gt;You&#39;ll implement automated workflows that lower manual/operational cost for stakeholders, define and uphold SLAs for timely delivery of data, move the company closer to democratizing data and a self-serve model (query exploration, dashboards, data catalog, data discovery)&lt;/li&gt;
&lt;/ul&gt;
&lt;h3&gt;Skills You&#39;ll Need to Bring:&lt;/h3&gt;
&lt;ul&gt;
&lt;li&gt;You are a self-starter and continuously gather and synthesize high-impact needs from business partners, design and implementing the appropriate technical solutions, and effectively communicating about deliverables, timelines and tradeoffs&lt;/li&gt;
&lt;li&gt;You&#39;ve spent 3+ years as a data engineer building core datasets and supporting business verticals as needed. You are passionate about analytics use cases, data models and solving complex data problems&lt;/li&gt;
&lt;li&gt;You have hands-on experience shipping scalable data solutions in the cloud (e.g AWS, GCP, Azure), across multiple data stores (e.g Snowflake, Redshift, Hive, SQL/NoSQL, columnar storage formats) and methodologies (e.g dimensional modeling, data marts, star/snowflake schemas)&lt;/li&gt;
&lt;li&gt;You are an SQL expert. You intimately understand aggregation functions, window functions, UDFs, self-joins, partitioning and clustering approaches to run correct and highly-performant queries&lt;/li&gt;
&lt;li&gt;You are highly comfortable with object-oriented programming paradigms (e.g Python, Java, Scala)&lt;/li&gt;
&lt;/ul&gt;
&lt;h3&gt;Nice to Haves:&lt;/h3&gt;
&lt;ul&gt;
&lt;li&gt;You have worked at a fast-growing start-up, a SaaS company or are eager to contribute in such an environment (being a current Notion user would be great!)&lt;/li&gt;
&lt;li&gt;You have hands-on experience in designing and building highly scalable and reliable data pipelines using BigData stack (e.g Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift, etc)&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it&#39;s the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Notion.&lt;/p&gt;
&lt;p&gt;Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know.&lt;/p&gt;
&lt;p&gt;#LI-Onsite&lt;/p&gt;

Data Engineer

&lt;h3&gt;About Us:&lt;/h3&gt;
&lt;p&gt;We&#39;re on a mission to make it possible for every person, team, and company to be able to tailor their software to solve any problem and take on any challenge. Computers may be our most powerful tools, but most of us can&#39;t build or modify the software we use on them every day. At Notion, we want to change this with focus, design, and craft.&lt;/p&gt;
&lt;p&gt;We&#39;ve been working on this together since 2016, and have customers like Pixar, Mitsubishi, Figma, Plaid, Match Group, and thousands more on this journey with us. Today, we&#39;re growing fast and excited for new teammates to join us who are the best at what they do. We&#39;re passionate about building a company as diverse and creative as the millions of people Notion reaches worldwide.&lt;/p&gt;
&lt;h3&gt;About The Role:&lt;/h3&gt;
&lt;p&gt;Do you want to help set the foundations for product and engineering data science at Notion? As an early member of the product and engineering data science team, you&#39;ll be instrumental in setting the roadmap for how these teams work together, and then doing the hands on work to execute against it. There will be significant variation from one day to the next, but whether you&#39;re exploring what a successful Notion account looks like, building out a core activity data set, or running experiments to evaluate the success of a key feature launch, you&#39;ll absolutely impact the development of Notion.&lt;/p&gt;
&lt;h3&gt;What You&#39;ll Achieve:&lt;/h3&gt;
&lt;ul&gt;
&lt;li&gt;You&#39;ll partner with a product or engineering pillar at every step of the development process, driving forward data science and analytics work in that area.&lt;/li&gt;
&lt;li&gt;You’ll explore Notion’s data using statistical inference or modeling techniques, identifying key patterns in user behavior and making actionable product and business recommendations based on that information.&lt;/li&gt;
&lt;li&gt;You&#39;ll design the right set of experiments or analyses to evaluate the success of new features and other product or engineering changes, and help your teams use these results to drive informed iteration.&lt;/li&gt;
&lt;li&gt;You&#39;ll work with your teams to determine both north star and operational metrics, and build and maintain the dashboards that those teams rely on for monitoring progress and making key decisions.&lt;/li&gt;
&lt;li&gt;You&#39;ll communicate your findings with the rest of the company, and drive and verify change in our product and business. (Insights are useful. Impact is even better!)&lt;/li&gt;
&lt;/ul&gt;
&lt;h3&gt;Skills You&#39;ll Need to Bring:&lt;/h3&gt;
&lt;ul&gt;
&lt;li&gt;You have spent meaningful time as a data scientist partnering with product, engineering or growth teams. You can draw on that experience to identify where data can have the most impact and clearly communicate to your partner teams what that impact is.&lt;/li&gt;
&lt;li&gt;You have expertise in SQL and at least one scripting language (ideally Python or R).&lt;/li&gt;
&lt;li&gt;You know how to use statistical inference and experimentation to drive actionable recommendations.&lt;/li&gt;
&lt;li&gt;You have experience building predictive models, and you know how to evaluate their effectiveness.&lt;/li&gt;
&lt;li&gt;You are comfortable transforming raw data to build your own data sets if the measure you need doesn&#39;t exist yet.&lt;/li&gt;
&lt;li&gt;You have a bias for using the right tools to get a job done with maximum efficiency. You have experience making tradeoffs between speed and accuracy.&lt;/li&gt;
&lt;/ul&gt;
&lt;h3&gt;Nice to Haves:&lt;/h3&gt;
&lt;ul&gt;
&lt;li&gt;You have worked at a fast-growing start-up.&lt;/li&gt;
&lt;li&gt;You have experience at a B2B SaaS company.&lt;/li&gt;
&lt;li&gt;You have helped design processes that data science teams use to collaborate with their product and engineering peers.&lt;/li&gt;
&lt;li&gt;You have a track record of acting as a thought partner to product or engineering leaders, driving strategic decisions on these teams using data.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it&#39;s the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Notion.&lt;/p&gt;
&lt;p&gt;Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.&lt;/p&gt;
&lt;p&gt;#LI-Onsite&lt;/p&gt;

Airbnb

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