Data Scientist, Snowflake CRM

Join Massive Rocket as a Data Scientist (Snowflake) and play a pivotal role in driving data-driven personalization and automation for CRM initiatives powered by Braze. As part of a fast-growing, innovative agency, you'll collaborate with cross-functional teams to design, train, and deploy predictive models within the Snowflake environment, enhancing customer engagement strategies and delivering cutting-edge digital solutions. This is a fully remote opportunity with international exposure, a supportive culture, and clear paths for career advancement.

Key Responsibilities

• Build, train, and deploy machine learning models (e.g., churn prediction, segmentation, next-best-action) using Python and Snowpark within Snowflake.
• Develop real-time scoring pipelines and automate retraining and deployment via CI/CD pipelines.
• Collaborate with CRM consultants, marketing, and product teams to optimize customer engagement and personalize campaigns in Braze.
• Engineer customer features from raw data, optimize SQL queries, and ensure data compliance and model transparency.
• Align with internal Snowflake and CRM teams on data strategies and provide technical support for data integration and event data management.

Required Skills & Qualifications

• Proficiency in Python with experience using pandas, scikit-learn, numpy, and joblib.
• Strong experience with Snowflake and Snowpark (Python API) for native model development and deployment.
• Advanced SQL skills for feature engineering and large dataset management.
• Understanding of CRM concepts including segmentation, customer lifecycle, and LTV modeling.
• Experience in model deployment, monitoring, and performance evaluation (e.g., AUC, precision, recall).
• Basic knowledge of ETL/ELT processes and data engineering concepts.
• Proficiency with version control (git) and ML pipeline management tools (e.g., MLflow, DVC).
• Familiarity with customer engagement platforms such as Braze, Salesforce Marketing Cloud, or HubSpot.
• Excellent analytical, problem-solving, and communication skills for collaboration with both technical and non-technical stakeholders.
• Ability to work independently and collaboratively in a dynamic, fast-paced, remote environment.