At Braze, we have found our tribe. We are a group that is easy to approach, incredibly kind, and deeply passionate.
We aim to fan this passion by setting high precedents, advocating teamwork, and promoting work-life balance as we together steer towards rapid growth on a global scale, all the while pushing for greater fairness and opportunity both within and beyond our organization.
To thrive here, you must be ready to set high expectations for yourself and others around you. Contributing in any possible way, acting independently, taking responsibility, and being open to new ideas are key to our continued success. Our strong desire to learn and willingness to share diverse interests with others brings balance into our life and breathes a unique liveliness into our company culture.
If you are motivated to tackle exciting challenges and inclined to take action in the face of change, you will be empowered to make a real impact here, supported by a dedicated and enthusiastic team. If Braze seems like a place where you could succeed, we can't wait to meet you.
WHAT YOU'LL DO
Braze is looking for a Data Scientist to join our Intelligence team. The mission of Braze's Intelligence team is to automate and optimize our customers' growth and retention schemes by making decisions and predictions assisted by machine learning (ML). You will help identify what's possible with machine learning and AI in our quest to enhance customer engagement at scale. From those possibilities, you will also support certain solutions as they transition from prototype to product.
As a Data Scientist, you will:
• Cooperate with Product Managers and Engineers to discover novel ways to utilize data and automate decision-making for our clients
• Explore and analyze the billions of daily data points our customers produce, seeking predictive, valuable, actionable signals
• Develop, assess, and iterate models best suited to the task, be it supervised or unsupervised learning, neural networks, or simple regressions
WHO YOU ARE
• 3+ years of experience in the software engineering field
• 3+ years of experience working with cloud or distributed systems
• Ph.D. in Computer Science, Applied Mathematics, or significant experience developing and deploying machine learning systems
• Significant 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
WHAT WE OFFER
In addition to offering comprehensive benefits, remote availability, and flexible time off, we aim to ensure that your work-life is balanced.
• Competitive pay that includes a share of the company
• Retirement and Employee Stock Purchase Plans
• Flexible paid time off
• Comprehensive benefits packages covering medical, dental, vision, life, and disability
• Family services that offer fertility benefits and equal paid parental leave
• Global presence, dog-friendly offices, and remote work possibilities
• Professional progression supported by formal career development, learning platforms, and tuition reimbursement
• Opportunities for community engagement throughout the year, including a company-wide Volunteer Week
• Employee Resource Groups that offer supportive communities within Braze
• A collaborative, transparent, and fun culture recognized as a Great Place to Work
Specific details of these benefit plans will be provided if a candidate receives a job offer. Benefits may differ by location.
ABOUT BRAZE
Braze (Nasdaq: BRZE) is a comprehensive customer engagement platform that powers interactions between consumers and the brands they love. With Braze, global brands can ingest and process customer data in real time, orchestrate and optimize contextually relevant, cross-channel marketing campaigns and continuously evolve their customer engagement strategies.
Braze is proudly certified as a Great Place to Work in the U.S., the UK, and Singapore. We are ranked #1 on Great Place to Work UK’s 2023 Best Workplaces (Medium), #3 on Great Place to Work UK’s 2023 Best Workplaces for Wellbeing (Medium), #19 on Fortune’s 2022 Best Workplaces in New York (Large), and #5 on Fortune’s 2022 Best Workplaces for Millennials in the US.
You'll find many of us at our headquarters in New York City or at our locations around the world including Austin, Berlin, Chicago, Jakarta, London, Paris, San Francisco, Singapore, Sydney, and Tokyo – in addition to our employees in nearly 50 remote locations.
Please see our Candidate Privacy Policy for further details on how Braze processes your personal information during the recruitment process and, based on your location, how you may exercise your privacy rights.