Forward-Deployed Data Scientist II
Job Location:
Austin, TX - USA
Yearly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
At Braze we have found our people. Were 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 cant wait to meet you.
WHAT YOULL DO
As our customer base continues to grow with the excitement around BrazeAI were expanding our team! Join our Forward-Deployed Data Scientist group of creative technical experts who partner with customers to ensure their this role you will:
- Collaborate with customer Analytics/BI teams and Braze colleagues on implementations including use case definition data integration pipeline setup and ML model configuration
- Extend product capabilities by improving architecture and developing reusable data pipelines APIs and components
- Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
- Contribute to shaping BrazeAI product strategy and roadmap through customer-facing insights and technical expertise
- Provide ongoing technical expertise to ensure successful adoption measurable outcomes and long-term customer success
WHO YOU ARE
- Education: Bachelors degree in Computer Science Data Science Mathematics Engineering or a related field required; Masters or PhD in a relevant technical discipline preferred
- Experience: 35 years of hands-on experience as a Data Scientist Machine Learning Engineer or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred
- Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow Keras scikit-learn CatBoost XGBoost). Skilled in SQL for querying/manipulating datasets with experience in machine learning pipelines and model deployment
- Engineering best practices: You write well-structured modular documented code; follow strong development practices (Git CI/CD testing frameworks type-hinting code reviews); and can build scalable maintainable solutions
- Nice-to-have skills: Experience with DevOps tools (Airflow Kubernetes Terraform GCP) data integration/ETL and pipeline optimization or reinforcement learning algorithms
- Customer collaborator: Comfortable working directly with clients and cross-functional teams aligning stakeholders and translating technical concepts into clear business value
- Entrepreneurial problem-solver: You identify opportunities and risks early troubleshoot obstacles and drive creative solutions
- Continuous learner: You stay current with industry trends explore new tools/technologies and thrive in environments that push you to grow
- Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences
For candidates based in the United States the pay range for this position at the start of employment is expected to be between $98000-$164000/year with an expected On Target Earnings (OTE) between $109000-$183000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors including market location job-related knowledge skills and addition to cash compensation this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.
#LI-Hybrid
WHAT WE OFFER
Braze benefits vary by location and we encourage you to review our specific benefits offerings for each country here. More details on benefits plans will be provided if you receive an offer of employment.
From offering comprehensive benefits to fostering hybrid ways of working weve got you covered so you can prioritize work-life harmony. Braze offers benefits such as:
- 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 a yearly learning stipend
- A curated in-office employee experience designed to foster community team connections and innovation
- Opportunities to give back to your community including an annual company-wide Volunteer Week and donation matching
- 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 the leading customer engagement platform that empowers brands to Be Absolutely Engaging. Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence BrazeAI allows marketers to combine and activate AI agents models and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter faster and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization Braze enables companies to turn action into interaction through autonomous 1:1 personalized experiences.
The company has been consistently recognized as a Leader in marketing technology by industry analysts and was named a G2 Best of Marketing and Digital Advertising Software Product in 2026. Braze was also named a 2026 Best Places to Work by Built In a 2025 Americas Greenest Companies by Newsweek and a 2025 Fortune Best Workplace in Technology by Great Place To Work. Braze is also proudly certified as a Great Place to Work in the U.S. the UK Australia and Singapore.
The company is headquartered in New York with offices in Austin Berlin Bucharest Chicago Dubai Jakarta London Paris San Francisco São Paulo Singapore Seoul Sydney and Tokyo.
BRAZE IS AN EQUAL OPPORTUNITY EMPLOYERAt 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. Were 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 wed love to meet you.
OUR AI-POWERED BRAZE RECRUITMENT PROCESS
At Braze were committed to a fair and transparent candidate experience. To help our recruitment teams focus on what matters most the person behind each application we use AI-assisted tools at certain stages of our recruitment process.
This includes using AI to analyze the experience skills and qualifications in your application materials to help with screening and prioritizing candidates. Such screening may amount to a form of solely automated decision-making. We also use AI for administrative support like scheduling and recording interviews and summarizing interview notes. Our recruiting teams remain responsible for all hiring decisions and are involved throughout the process.
Depending on where you are located you may have the right to request further information about how AI is used in our recruitment process to opt out of AI-assisted review to request a manual review of any decision made or to contest a decision.
Please contact us at for any requests or questions. To find out more about our hiring process check out this page.
Notice Regarding Automated Employment Decision Tool (NYC Local Law 144)
Our use of AI during the application review process may include the use of automated employment decision tools. Pursuant to New York City Local Law 144 for roles based in New York City or if you reside in New York City you have the right to request an alternative selection process or a reasonable accommodation instead of AI-assisted review. Please submit any such request to our Talent Acquisition team at promptly after applying. A summary of the most recent bias audit results for such tool is available here.
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.
Required Experience:
IC
