Remote Senior Data Scientist

Summary

Join our Intelligence team as a Senior Data Scientist to deliver a truly engaging and personalized customer experience through the creation of ML and AI enhanced marketing solutions.

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

Responsibilities

• 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

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