Data Scientist

Remote (US or Canada)

Bevy Labs, Inc. logo
Bevy Labs, Inc.
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Posted 4 weeks ago

The Role   As Bevy's first dedicated data scientist, you will help set the tone for future data and insights work at Bevy. You will drive devising new algorithms to produce insights based on rich event and community data sets. You will work with your team productize those insights and make actionable analytics available.   About Bevy   Bevy is an early-stage startup with a mission to help brands build strong global communities. Founded in April 2017 by the core team behind Startup Grind, Bevy is an Enterprise-grade SaaS platform used by companies that include Adobe, Amazon, Asana, Atlassian, Duolingo, Ebay, Epic Games, IDEO, Intuit, MongoDB, Red Bull, Roblox, Salesforce, SAP, Slack and many more. In April 2019, Bevy acquired CMX which is the world’s largest network of community professionals. CMX offers world-class training, events and research.   Day to Day Responsibilities  
  • Driving forward of analytics and insights capabilities of the Bevy platform
  • Implementation of novel algorithms to increase understanding of community and event data
  • Cross-functional collaboration with engineering and non-engineering teams around data and and analytics needs
  • Visualize and present data-driven insights to diverse audiences
  • Educate and mentor on data science to help everyone level up to become more data-driven
  You Might Be a Good Fit for This Role If  
  • At minimum BS or substantial coursework in Applied Math, Statistics, Quantitative Science or similar.
  • Demonstrated track record implementing data-driven solutions with large, complex data sets
  • Familiarity with standard business intelligence systems
  • Proficiency with common SQL and NoSQL data storage and retrieval
  • Experience implementing practical solutions using standard tools, such as Python or R.
  • You like solving interesting, hard problems and communicating the results in accessible ways.
  • You ask probing questions about software and don’t give up easily.
  • You reside in North or South America. Yes, we are a distributed company, but since we are still small, we like to minimize the time zone spread within the team.
  • You are an excellent communicator. In our small team, English is the official language. You need to be able to articulate complex ideas efficiently and effectively. When people do not share an office, it is essential to pay extra attention to communication & speak up.
  About the Bevy Engineering Team   The Bevy Engineering Team is currently a mix of engineers from across North America, united by our shared purpose of bringing people together in real life. For some of us, Bevy is our first job out of bootcamp, or university. For others, it’s not our first startup - some of us have founded startups before, or worked at startups with successful exits. Some of us run or participate in our own community events as well. We’ve grown together with Bevy as it has scaled from our first few customers to those we have today. We care a great deal about the right balance of startup scrappiness and reliable, auditable code. We share our learnings liberally. We’re excited by the challenges to come as Bevy scales to its next thousand customers. Will you join us on our journey?   We are a small but powerful team, dedicated to achieving our mission to bring more community to the world. Many of us have worked in community positions before and understand the struggles and peaks that come with the role. Our team communicates candidly, giving feedback early and often. We set ambitious goals, and do what it takes to achieve them, while making sure that we take care of our own personal health and mental wellbeing. We’ll want you to be ready to take on a lot of responsibility with guidance and mentorship along the way. We work to create a diverse, equitable and inclusive environment. We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users and the communities we serve.   Principals only please.
Job tags: Cross-functional Data-driven Mentor MongoDB NoSQL Python R Research SaaS Salesforce SAP SQL Statistics Training
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