Senior Data Scientist (m/f/d)
As a Senior Data Scientist you are responsible for expanding and evolving our data warehouse infrastructure. A key focus of this role is building, maintaining, and continuously improving a single source of truth by integrating and connecting our CRM system.
You will establish and optimize marketing and product analytics, ensure the scalability, documentation, and long-term reliability of our data infrastructure (BigQuery, dbt, Looker Studio), and enable data-driven decision-making across the organization through consistent, trusted data and fast, high-performance dashboards.
Diese Aufgaben erwarten dich
- Data Stack Ownership & Strategic Development
Own and strategically evolve the entire data stack (BigQuery, dbt, Looker Studio) to support scalable, data-driven decision-making.
- CRM Integration & Single Source of Truth
Own the design, implementation, and continuous improvement of the CRM integration, establishing it as the company-wide single source of truth.
- Data Consistency & Cross-Functional Enablement
Enable Marketing, Sales, and Product teams to access consistent, trusted data from a centralized source, empowering data-driven decision-making across the organization.
- Data Quality, Scalability & Documentation
Drive data quality, scalability, and robust documentation practices to ensure a reliable and future-proof data infrastructure.
- Cross-Functional Collaboration & Insights
Partner closely with Marketing, Product, and cross-functional stakeholders to identify business requirements and deliver data-driven insights.
- Data Strategy & Data-Driven Culture
Drive the development and execution of the data strategy to establish and strengthen a data-driven culture across the organization.
So kannst du bei uns punkten
- Minimum of 3–5 years of professional experience in Data Science, Data Analytics, or Business Intelligence
- Proven expertise in BigQuery, dbt, and data visualization tools such as Looker Studio
- You write clean, efficient, and well-documented code for SQL, Python, and Cloud Functions (ideally Google Cloud). You implement data pipelines, ETL processes, and integrations with a focus on scalability, performance, and robustness
- Proven experience designing, implementing, and maintaining CRM integrations (e.g., HubSpot) to establish a single source of truth across the organization
- You ensure high data quality, consistency, and integrity across all pipelines and systems. You proactively identify bottlenecks, optimize queries, and maintain a performant and reliable analytics infrastructure
- Experience in a SaaS environment, especially with marketing and product analytics, is a strong plus
- You collaborate closely with Product, Marketing, Growth, and Engineering teams. You gather requirements, translate them into data solutions, and communicate insights clearly to enable informed business decisions
- You lead by example. You establish best practices for SQL, dbt, and data modeling, mentor colleagues, and foster a culture of continuous improvement, knowledge sharing, and analytical excellence
- Bonus: Experience working with Evidence or similar markdown- and code-based business intelligence frameworks
- Bonus: Proficiency in leveraging AI tools (e.g., Claude, ChatGPT, Cursor) to accelerate data modeling, SQL development, and dashboard development
Dein Job in mehr als einem Satz
Was du mitbringst
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Ownership statt Overmanagement
Wir messen Erfolg an Nutzerfeedback
Modernes, dynamisches Arbeitsumfeld
Gestalte die Zukunft unseres Produkts aktiv mit und bringe deine Ideen in einem agilen Startup ein.
Willkommens-bonus nach der Probezeit
Nach erfolgreicher Probezeit erwartet dich ein Willkommensbonus.
100% Remote-Arbeit
So läuft unser Bewerbungsprozess ab
Bewerbung
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Erstgespräch
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Fachgespräch
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Entscheidung
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