Braze
Braze (Nasdaq: BRZE) is a leading comprehensive customer engagement platform that powers interactions between consumers and brands they love. With Braze, global brands can ingest and process customer data in real time, orchestrate and optimize contextually relevant, cross-channel marketing campaigns and continuously evolve their customer engagement strategies. Braze has been recognized as one of Fortune’s 2022 Best Workplaces in New York, Fortune’s 2022 Best Workplace for Millennials, and UK Best Workplaces for Women 2022 by Great Place to Work. The company is headquartered in New York with offices in Austin, Berlin, Chicago, London, San Francisco, Singapore, and Tokyo. Learn more at braze.com.
mobile apps • mobile engagement • mobile marketing • mobile users • marketing automation for apps
1001 - 5000 employees
💰 $80M Series E on 2018-10
Senior Data Scientist
February 16
Braze
Braze (Nasdaq: BRZE) is a leading comprehensive customer engagement platform that powers interactions between consumers and brands they love. With Braze, global brands can ingest and process customer data in real time, orchestrate and optimize contextually relevant, cross-channel marketing campaigns and continuously evolve their customer engagement strategies. Braze has been recognized as one of Fortune’s 2022 Best Workplaces in New York, Fortune’s 2022 Best Workplace for Millennials, and UK Best Workplaces for Women 2022 by Great Place to Work. The company is headquartered in New York with offices in Austin, Berlin, Chicago, London, San Francisco, Singapore, and Tokyo. Learn more at braze.com.
mobile apps • mobile engagement • mobile marketing • mobile users • marketing automation for apps
1001 - 5000 employees
💰 $80M Series E on 2018-10
📋 Description
• Collaborate with Product Managers and Engineers to build innovative ways to leverage data and improve decision-making for our customers • Explore and analyze the billions of daily data points that Braze’s customers generate in search of predictive, valuable, actionable signals • Build, analyze, and iterate on models that are best suited for the job, whether that’s supervised & unsupervised learning, reinforcement learning, neural networks, or simple regressions
🎯 Requirements
• 5+ years of experience in the technology industry • 5+ years of experience working with cloud or distributed systems and large customer datasets • Ph.D. in Computer Science, Applied Mathematics, or significant experience developing and deploying machine learning systems • Extensive experience prototyping, refining, and deploying predictive models and machine learning & AI neural networks • Experience working with Data Stores and frameworks such as TensorFlow and PyTorch
🏖️ Benefits
• Competitive compensation that may include equity • Retirement and Employee Stock Purchase Plans • Flexible paid time off • Comprehensive benefit plans covering medical, dental, vision, life, and disability • Family services that include fertility benefits and equal paid parental leave • Professional development supported by formal career pathing, learning platforms, and tuition reimbursement • Community engagement opportunities throughout the year, including an annual company-wide Volunteer Week • Employee Resource Groups that provide supportive communities within Braze • Collaborative, transparent, and fun culture recognized as a Great Place to Work®
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