Braze · 6 hours ago
Senior Forward-Deployed Data Scientist, AI Deployment
Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging.™ In this role, the Senior Forward-Deployed Data Scientist will collaborate with customer teams to implement data solutions, improve product capabilities, and advance machine learning algorithms, ensuring customer success and measurable outcomes.
AnalyticsCRMMarketingMarketing AutomationSoftware
Responsibilities
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 OfferFit’s 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
Qualification
Required
Bachelor's degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required
3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments
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
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
Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value
You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow
Able to explain complex technical ideas persuasively to both technical and non-technical audiences
Preferred
Master's or PhD in a relevant technical discipline preferred
Experience in customer-facing or consulting roles is strongly preferred
Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, or reinforcement learning algorithms
Benefits
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®
Company
Braze
Braze is a customer engagement platform that enables customer-centric interactions between brands and consumers.
H1B Sponsorship
Braze has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9)
2024 (11)
2023 (5)
2022 (16)
2021 (6)
2020 (4)
Funding
Current Stage
Public CompanyTotal Funding
$314.29MKey Investors
SnowflakeMeritech Capital PartnersBattery Ventures
2025-04-10Post Ipo Equity· $139.19M
2023-06-21Grant
2021-11-17IPO
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