Senior Data Scientist (Analytics Engineering)

Senior Data Scientist (Analytics Engineering)

This job is no longer open

WHAT YOU’LL DO

Join our dynamic team dedicated to revolutionizing data analytics and products for impactful decision-making at Braze. We collaboratively shape data strategies, optimizing analytics practices to drive business growth and enhance customer experiences.

  • Lead the design, implementation, and monitoring of scalable data models of Snowflake data warehouses to support AI-driven enrichment and metrics-based analytics.
  • Dive deep into product understanding, AI roadmap, data app architecture, and data flow to develop innovative solutions that drive customer engagement and retention.
  • Guide data scientists and engineers on best practices for AI model development, deployment, and monitoring.
  • Expertly design and implement data products using techniques such as embeddings, vector databases, RAG, data APIs, natural language processing, and LLMs.
  • Embrace a passion for data cataloging, metadata management, and adherence to data governance principles.
  • Excel in advanced SQL with proficiency in window functions, complex aggregations, and query optimization techniques for big-data data marts using dbt.
  • Collaborate effectively with cross-functional teams including engineering, product management, sales, marketing, and customer success to deliver value adding insights and solutions.

WHO YOU ARE

The ideal candidate for this role possesses:

  • 5+ years of hands-on experience in cloud data warehouses and developing AI/ML systems, preferably in a customer-facing environment.
  • Proven expertise in advanced SQL, statistical analysis, and AI training techniques.
  • A track record of leading impactful projects from conception to deployment.
  • Effective collaboration skills with cross-functional teams and stakeholders.
  • In-depth understanding of technical architecture and data flow in a cloud-based environment.
  • Ability to mentor and guide junior team members on best practices for requirements gathering, development, and deployment.
  • Proficiency in scalable data model design and data model optimization.
  • Passion for building AI-driven solutions that enhance customer experiences and drive business growth.
  • Strong analytical and problem-solving skills, with a keen eye for detail and accuracy.
  • Enthusiasm for AI frameworks and tools such as TensorFlow, PyTorch, Llama Index, and Scikit-learn.
  • Expertise in deploying and managing data and AI models in production environments.
  • Dedication to applying data governance principles and ensuring compliance with industry regulations.

#LI-REMOTE

This job is no longer open
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