Senior Data Scientist
Job Description
Join Massive Rocket: Shape the Future of Customer Engagement with Data
Welcome to Massive Rocket, a dynamic, high-growth agency at the exciting intersection of digital marketing, product, and engineering. Founded just 5 years ago, we’ve quickly become leaders in leveraging platforms like Braze and data powerhouses like Snowflake to connect brands with their customers on a deeply human level, at scale. We’re on an ambitious trajectory towards $100M in revenue, fueled by innovation and a commitment to cutting-edge digital solutions across web, mobile, cloud, data, and AI.
At Massive Rocket, every role is intrinsically entrepreneurial. We don’t just hire for a job description; we hire individuals who understand the bigger picture, collaborating across teams to drive success for our customers, partners, and the company as a whole.
The Opportunity: Data Scientist, Snowflake & Braze
We’re seeking a talented and ambitious Data Scientist with a deep understanding of Snowflake and its capabilities, particularly within the context of enhancing CRM and customer engagement strategies powered by platforms like Braze. You will be instrumental in designing, training, and deploying sophisticated predictive models directly within the Snowflake environment, transforming raw data into actionable intelligence that fuels personalized customer experiences and automation at scale.
This role offers a unique opportunity to collaborate with a diverse team of CRM consultants, developers, and marketing experts. Your expertise in industry trends and best practices will not only elevate our customer data management capabilities but also keep us at the forefront of innovation in personalized engagement.
What You’ll Do
Shape Predictive Customer Experiences
– Design, build, and deploy predictive models (like churn prediction, segmentation, next-best-action) using Python.
– Leverage Snowpark to bring your models to life directly within the Snowflake environment.
– Translate strategic business objectives into powerful ML/AI solutions tailored for CRM automation in Braze.
– Ensure model outputs are structured perfectly for seamless integration with Braze via SQL or segment syncs.
– Continuously monitor and refine model performance based on real-world Braze campaign results.
– Collaborate with CRM consultants and analysts to define data requirements and desired outcomes.
Drive Intelligent Activation
– Develop real-time scoring pipelines for triggering personalized communications (e.g., propensity to buy, lead scoring).
– Engineer impactful customer features from raw behavioral and transactional data.
– Optimize Snowflake queries and data structures for maximum model efficiency.
– Partner with Braze marketers to design and evaluate A/B tests for model-driven campaigns.
– Automate model retraining and deployment processes via CI/CD pipelines.
– Champion data compliance and model transparency for internal and external stakeholders.
Optimize Customer Engagement via Braze
– Navigate and innovate within the Braze platform’s capabilities to maximize personalization and trigger logic.
– Collaborate closely with marketing and product teams to refine customer engagement strategies.
– Unleash the power of customer data to identify key opportunities for personalized marketing and interactions.
– Provide actionable insights that directly contribute to customer engagement and retention goals.
– Cultivate a deep understanding of how the Snowflake data warehouse fuels exceptional customer experiences within the Braze ecosystem.
Collaborate & Influence
– Thrive in a collaborative, cross-functional environment, working alongside data engineers, analysts, and marketing professionals.
– Offer technical guidance and support on data integration and event data management best practices.
– Proactively identify opportunities to enhance our clients’ current data stacks, driving efficiency and impact.
– Align with internal Snowflake and CRM experts to ensure data strategies seamlessly power the Braze platform.
What You’ll Bring
– Proficiency in Python for Data Science, with strong experience using libraries such as pandas, scikit-learn, numpy, and joblib.
– Strong experience with Snowflake + Snowpark, demonstrating the 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.
– Solid understanding of CRM & MarTech, including concepts like segmentation, customer lifecycle, churn, and LTV modeling.
– Hands-on experience with model deployment and monitoring in production environments (tracking metrics like AUC, precision, recall).
– Understanding of data engineering basics, including ETL/ELT processes, feature stores, and scheduling tools (like Airflow or dbt is a plus).
– Expertise in version control (Git) and experience with ML pipeline management tools (e.g., MLflow, DVC is a plus).
– Familiarity with customer engagement platforms like Braze, Salesforce Marketing Cloud, HubSpot, or similar tools (Braze experience highly valued!).
– Excellent problem-solving skills and meticulous attention to detail.
– Strong communication skills, capable of explaining complex data concepts to non-technical stakeholders.
– The ability to work both independently and collaboratively in a dynamic, fast-paced setting.
– Experience working in an agency setting or managing external client relationships.
Bonus Points
– Experience with A/B Testing & Experimentation design and evaluation.
– Familiarity with CDPs (like Hightouch).
– Experience working in an Agile framework (e.g., Kanban).
Why Join Massive Rocket?
– Be part of a fast-growing, ambitious team where your contributions directly impact our success.
– Experience a supportive, positive, and entrepreneurial work culture built on strong values.
– Work with a truly global team, collaborating with colleagues across Europe, the US, and beyond.
– Enjoy the flexibility and freedom of being 100% remote, forever.
– Discover clear pathways for career growth and opportunities for advancement.
– Engage in organized team events and outings (virtual and in-person where possible!).
– Continuously learn and grow in a dynamic, ever-evolving environment.
Important Details
– Massive Rocket operates on a Bring Your Own Device (BYOD) policy; you will need your own equipment.
– A valid work visa is required for your location; Massive Rocket does not provide sponsorship at this time.
– Be prepared to provide proof of identification (passport, ID card, utility bill).
– Two references may be requested; please have names, relationship, and contact details ready.
– For contractors only: Proof of incorporation and valid insurance coverage is required.
Please ensure your qualifications align closely with the criteria outlined. We look forward to reviewing your application!
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