Braze is seeking a Data Scientist to join our Growth team to automate and optimize our customers’ growth and retention programs through ML-assisted decision-making, and prediction. 

At Braze, we don’t just use machine learning to build models, we’ve built an on-demand ML model delivery platform to help our customers take advantage of the billions of users and hundreds of billions of data points that flow through our systems.

You will help discover the scope of what is possible with machine learning and AI in our systems, test and validate new predictive and statistical features, and tailor complex AI workflows for easy use by non-technical users. You will help build processes for maintenance and monitoring of these tools as well as for management and sharing of model code and testing.

WHAT YOU'LL DO

• Collaborate with Engineering, Product, and Data Consultants to build innovative ways to leverage data and automate 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 or unsupervised learning, neural networks, or simple regressions
• Build processes to help catalog, maintain, and share the above with fellow data scientists and engineers

WHAT YOU HAVE

• Masters in Computer Science, Applied Mathematics, or similar computational field or equivalent experience
• Extensive experience prototyping, refining, and deploying predictive models and machine learning & AI, neural networks in a production setting
• Fluent in Python
• Experience with frameworks such as TensorFlow, PyTorch, or similar
• 2+ years of software engineering experience
• Proficiency with relational databases 
• 2+ years working with cloud or distributed systems

Bonus:

• Publication record in machine learning, artificial intelligence, or similar algorithmic fields
• Familiarity with document-based databases