Senior Data Scientist (Analytics Engineering) at Braze | Powderkeg

At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.

We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.

To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.

If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you.

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

WHAT WE OFFER

Details of these benefits plan will be provided if a candidate receives an offer of employment. Benefits may vary by location.

From offering comprehensive benefits to fostering flexible environments, we’ve got you covered so you can prioritize work-life harmony.

  • 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®

ABOUT BRAZE

Braze is a leading customer engagement platform that powers lasting connections between consumers and brands they love. Braze allows any marketer to collect and take action on any amount of data from any source, so they can creatively engage with customers in real time, across channels from one platform. From cross-channel messaging and journey orchestration to Al-powered experimentation and optimization, Braze enables companies to build and maintain absolutely engaging relationships with their customers that foster growth and loyalty.

Braze is proudly certified as a Great Place to Work® in the U.S., the UK and Singapore. We ranked #3 on Great Place to Work UK’s 2024 Best Workplaces (Large), #3 on Great Place to Work UK’s 2023 Best Workplaces for Wellbeing (Medium), #4 on Great Place to Work’s 2023 Best Workplaces in Europe (Medium), #10 on Great Place to Work UK’s 2023 Best Workplaces for Women (Large), #19 on Fortune’s 2023 Best Workplaces in New York (Large). We were also featured in Built In's 2024 Best Places to Work, U.S. News Best Technology Companies to Work For, and Great Place to Work UK’s 2023 Best Workplaces in Tech.

You’ll find many of us at headquarters in New York City or around the world in Austin, Berlin, Chicago, Jakarta, London, Paris, San Francisco, Singapore, Sydney and Tokyo – not to mention our employees in nearly 50 remote locations.

BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER

At Braze, we strive to create equitable growth and opportunities inside and outside the organization.

Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you.

We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you.

Please see our Candidate Privacy Policy _ for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights._

Job Summary
  • Job Title
    Senior Data Scientist (Analytics Engineering)
  • Company
    Braze
  • Location
    Remote
  • Employment Type
    Full time
Ready to apply?
Ready to apply?