Forward-Deployed Data Scientist II

United States Digital Space LLC; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Competitive compensation

Equity

Retirement plan

Flexible PTO

Healthcare benefits

Stock Purchase Plan

Learning stipend

Career development

Volunteer program

Job summary

Braze is hiring for a Forward-Deployed Data Scientist to design and deploy end-to-end ML solutions powering personalized experiences for global brands. You’ll own data-to-model deployment, work with clients, and guide cross-functional teams in a fast-growing environment.

The role emphasizes autonomy, collaboration, and continuous learning, with hybrid work options and a focus on equity and opportunity across the organization.

Qualifications

• Bachelor’s degree in CS/DS/Math/Engineering or related field required; advanced degree preferred.
• 3–5+ years of hands-on Data Scientist/ML Engineer experience with large-scale data and production environments.
• Proficient in Python (Pandas) and core ML libraries; SQL for querying datasets.
• Experience with DevOps tools and ML deployment.
• Strong communication with clients and cross-functional teams; translate technical concepts to business value.
• Continuous learner; stay current with industry trends and new tools.

Responsibilities

• Design ML use cases from the ground up to maximize business value.

Skills

Python

Pandas

TensorFlow

Keras

scikit-learn

CatBoost

XGBoost

SQL

Git

CI/CD

Airflow

Kubernetes

Terraform

GCP

Data visualization

Education

Bachelor’s degree in Computer Science / Data Science / Mathematics / Engineering

Master’s or PhD preferred

Tools

Airflow

Kubernetes

Terraform

GCP

Git

CI/CD

Job description

At the company, 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 the company sounds like a place where you can thrive, we can’t wait to meet you.

WHAT YOU'LL DO

Our Forward-Deployed Data Scientist 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

• 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 the company Product team to refine and advance the company'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

Take a closer look at what a day in the life of a Forward-Deployed Data Scientist at the company looks likehere.WHO YOU ARE

• Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred

• Experience: 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. 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

**WHAT WE OFFER**

the company 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, we’ve got you covered so you can prioritize work-life harmony. the company 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 the company

• Collaborative, transparent, and fun culture recognized as a Great Place To Work

**ABOUT the company

the company is the leading customer engagement platform that empowers brands to Be Absolutely Engaging. the company 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 the company Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to AI-powered decisioning and optimization, the company 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. the company was also named a 2026 Best Places to Work by Built In, a 2025 America's Greenest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology by Great Place To Work. the company is also proudly certified as a Great Place To Work in the U.S., the U.K., 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.

the company IS AN EQUAL OPPORTUNITY EMPLOYER

At the company, 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