Data Scientist, AI Deployment
About The Position
Our Data Scientist, AI Deployment team is a group of creative technical experts who design and build end-to-end machine learning solutions that power 1-to-1 personalization for some of the world's leading brands. In this role, you will design ML use cases from the ground up — scoping solutions that optimize for real business value, accounting for the complexity of modern marketing journeys, and proactively identifying risks to set each engagement up for success. You will build and own the full ML pipeline — taking customers' raw data through transformation, model training, and activation, so that model decisions are delivered to personalize experiences for millions of end users. You will drive customer success by providing ongoing technical guidance that ensures data science performance, successful adoption, and measurable outcomes. You will extend product capabilities by developing features and tools that support the broader AI deployment team and scale what's possible across engagements. You will partner with the Braze Product team to refine and advance Braze's reinforcement learning algorithms, pushing the self-learning capabilities of the platform forward. You will shape BrazeAI product strategy and roadmap by bringing customer-facing insights and deep technical expertise to the table.
Requirements
- 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
- 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
Nice To Haves
- 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
Responsibilities
- Design ML use cases from the ground up — scoping solutions that optimize for real business value, accounting for the complexity of modern marketing journeys, and proactively identifying risks to set each engagement up for success
- Build and own the full ML pipeline — taking customers' raw data through transformation, model training, and activation, so that model decisions are delivered to personalize experiences for millions of end users
- Drive customer success by providing ongoing technical guidance that ensures data science performance, successful adoption, and measurable outcomes
- Extend product capabilities by developing features and tools that support the broader AI deployment team and scale what's possible across engagements
- Partner with the Braze Product team to refine and advance Braze's reinforcement learning algorithms, pushing the self-learning capabilities of the platform forward
- Shape BrazeAI product strategy and roadmap by bringing customer-facing insights and deep technical expertise to the table
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®
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
