Data Scientist

Summary

Join Massive Rocket, a rapidly growing Braze & Snowflake agency, as a skilled Data Scientist. You will design, train, and deploy predictive models within Snowflake to enhance CRM capabilities powered by Braze. Collaborate with cross-functional teams to deliver data-driven personalization and automation. Leverage your expertise in machine learning, Snowflake, and Braze to optimize customer engagement strategies. This 100% remote position offers a flexible vacation policy and opportunities for career advancement. A valid work visa is required; Massive Rocket does not provide sponsorship.

Requirements

• Proficiency in Python for Data Science, strong experience with libraries like pandas, scikit-learn, numpy, and joblib
• Experience with Snowflake + Snowpark (Python API), ability to develop and deploy ML models natively within the Snowflake environment
• Advanced SQL Skills, comfortable writing optimized SQL for feature engineering, data extraction, and joining large datasets
• CRM & MarTech Understanding, knowledge of CRM concepts like segmentation, customer lifecycle, churn, and LTV modeling
• Model Deployment & Monitoring, experience with deploying models in production and monitoring performance (e.g., AUC, precision, recall)
• Data Engineering Basics, understanding of ETL/ELT processes, feature stores, and scheduling tools like Airflow or dbt (optional)
• Version Control & Reproducibility, git proficiency and experience with ML pipeline management tools (e.g., MLflow, DVC)
• Familiarity with customer engagement platforms like Braze, Saleforce Marketing Cloud, HubSpot or similar tools
• Excellent problem-solving skills and attention to detail
• Strong communication skills with the ability to convey complex data concepts to non-technical stakeholders
• Ability to work independently and collaboratively in a fast-paced environment
• Experience working in an agency setting or working with external clients

Responsibilities

• Build and train machine learning models (e.g., churn prediction, segmentation, next-best-action) using Python
• Deploy models using Snowpark for Python within Snowflake
• Translate business goals into ML/AI models tailored for CRM automation in Braze
• Design model output structures for direct use in Braze via SQL/Segment integrations
• Monitor model performance and continuously improve based on Braze campaign results
• Collaborate with CRM consultants and analysts to define data requirements and outcomes
• Develop real-time scoring pipelines for CRM triggers (e.g., propensity to buy, lead scoring)
• Engineer customer features from raw behavioral and transactional data
• Optimize Snowflake queries and data structures for model efficiency
• Work with Braze marketers to A/B test model-driven campaigns
• Automate retraining and deployment of models via CI/CD pipelines
• Ensure data compliance and model transparency for stakeholders
• Work through the system restrictions in order to power Customer Engagement personalization and triggers in Braze
• Collaborate with marketing and product teams to optimize customer engagement strategies using platforms like Braze
• Leverage customer data to identify opportunities for personalized marketing and engagement
• Provide actionable insights to drive customer engagement and retention
• You will have appetite for learning about Data Warehouses (Snowflake specifically) and how they can be leveraged to strengthen the customer experience proposition through Braze
• Work closely with cross-functional teams, including data engineers, analysts, and marketing professionals, to align on data strategies and implementation
• Provide technical support and guidance to team members on best practices for data integration and event data management
• You will always be on the lookout for ways our clients can improve their current data stack and either be more efficient or have more impact on our work
• Align with the internal Snowflake and CRM team to align on the data plan and therefore power the Braze platform in the most efficient way possible

Preferred Qualifications

• A/B Testing & Experimentation, Ability to design and evaluate experiments to measure model impact on CRM campaigns
• Familiarity with CDPs (Hightouch)
• Experience working in Agile (Kanban)

Benefits

• 100% remote forever
• Flexible Vacation Policy
• Career progression paths and opportunities for promotion/advancement
• Organised team events and outings