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.
These tasks await you
- Data Stack Ownership & Strategic Development
Ownand strategically evolve the entire data stack (BigQuery, dbt, Looker Studio) to support scalable, data-driven decision-making.
- CRM Integration & Single Source of Truth
Overseethe design, implementation, and continuous improvement of the CRM integration, establishing it as the company-wide single source of truth.
- Data Consistency & Cross-Functional Enablement
Enablemarketing, 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
Drivedata quality, scalability, and robust documentation practices to ensure a reliable and future-proof data infrastructure.
- Cross-Functional Collaboration & Insights
Workclosely 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.
How you can score points with us
- At least 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 high-performing and reliable analytics infrastructure.
- Experience in a SaaS environment, particularly with marketing and product analytics, is a strong plus
- You work closely with the Product, Marketing, Growth, and Engineering teams. You gather requirements, translate them into data solutions, and clearly communicate insights 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 using AI tools (e.g., Claude, ChatGPT, Cursor) to accelerate data modeling, SQL development, and dashboard development
Your job in more than one sentence
What you bring to the table
We build what we have always wanted.
Work where you perform best
Ownership instead of overmanagement
We measure success by user feedback
Modern, dynamic work environment
Actively shape the future of our product and contribute your ideas to an agile startup.
Welcome bonus after the probationary period
After a successful probationary period, you can expect a welcome bonus.
100% remote work
This is how our application process works
application
Send us what really makes you tick. No novel, and we'll take a quick look at your documents.
initial consultation
In a brief digital meeting, we will determine whether we are a good fit for each other.
technical discussion
During the technical interview, the focus will be on your technical skills and your approach.
decision
If you receive positive feedback, you can choose us. If it works out for both of us, we'll get started.