Contractor Senior Data Scientist

We are looking for a skilled Data Scientist (Snowflake) to design, train, and deploy predictive models directly in Snowflake to enhance CRM capabilities powered by Braze. You’ll collaborate with CRM consultants, developers, and marketing teams to deliver data-driven personalization and automation at scale.

Collaborate with dynamic teams to enhance customer engagement strategies using leading platforms such as Braze. Your keen insight into industry trends and best practices will keep our customer data management at the cutting edge, driving innovation and excellence.

Elevate your career with us and be a catalyst for transformative customer experiences.

Responsibilities

1. Predictive Personalization
   • 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.
2. Intelligent Activation
   • 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.
3. Customer Engagement Optimization through Braze
   • 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.
4. Collaboration and Support
   • 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.

Required Skills and Qualifications:

• Proficiency in Python for Data Science.
• Experience with Snowflake + Snowpark (Python API).
• Advanced SQL Skills.
• CRM & MarTech Understanding.
• Model Deployment & Monitoring.

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