Senior Data Scientist
Description For Senior Data Scientist
Braze, a leading customer engagement platform, is seeking a Senior Data Scientist to join their Intelligence team. This role offers an exciting opportunity to work on ML and AI-enhanced marketing solutions that deliver personalized customer experiences at scale. The position requires expertise in machine learning, data analysis, and model deployment, with the successful candidate working on innovative solutions using billions of daily data points.
The role combines technical expertise with business impact, requiring collaboration with Product Managers and Engineers to develop data-driven solutions. You'll be working with cutting-edge technologies and frameworks like TensorFlow and PyTorch, applying various machine learning techniques from simple regressions to complex neural networks.
Braze offers a comprehensive benefits package including equity, flexible PTO, and strong professional development support. The company has received numerous workplace awards and maintains offices globally, with a collaborative and inclusive culture. They emphasize work-life harmony and provide extensive support for career growth.
The ideal candidate will bring 5+ years of technology industry experience, strong expertise in machine learning systems, and either a Ph.D. or equivalent experience in developing and deploying ML systems. This role presents an opportunity to make a significant impact in a rapidly growing company that values innovation, teamwork, and personal growth.
Working at Braze means joining a team that's genuinely approachable, exceptionally kind, and intensely passionate about their work. The company promotes autonomy, accountability, and openness to new perspectives, making it an ideal environment for those who are driven to solve challenging problems and make a real impact.
Responsibilities For Senior Data Scientist
- Collaborate with Product Managers and Engineers to build innovative ways to leverage data
- Explore and analyze billions of daily data points from Braze's customers
- Build, analyze, and iterate on models including supervised & unsupervised learning, reinforcement learning, neural networks
Requirements For Senior Data Scientist
- 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 For Senior Data Scientist
- Competitive compensation with equity
- Retirement and Employee Stock Purchase Plans
- Flexible paid time off
- Comprehensive medical, dental, vision, life, and disability benefits
- Family services including fertility benefits and equal paid parental leave
- Professional development with career pathing, learning platforms, and tuition reimbursement
- Community engagement opportunities
- Employee Resource Groups
- Collaborative and transparent culture
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