Data Scientist: Product & Analytics

Das ist der Job

This position is listed on behalf of a partner company, who manages all applications and next steps.

Darum lohnt es sich

Working at the intersection of data science, analytics engineering, and product strategy, you will build reliable data products, design experiments, and help teams make smarter decisions. You will collaborate closely with Product, Growth, and Engineering teams in a highly autonomous environment where impact and outcomes matter.

Design and analyze experiments in collaboration with Product and Growth teams, defining success metrics, evaluating outcomes, and providing actionable recommendations. Collaborate with Data Engineering teams to strengthen the overall data platform and ensure trusted, accessible information across the organization.

Requirements Several years of experience working as a Data Scientist, ideally within a modern product-focused or technology-driven environment. Experience working with modern data warehouses, transformation tools, and analytics platforms; knowledge of dbt is a plus.

Experience collaborating directly with Product, Growth, Marketing, or other business teams to solve strategic problems. Benefits Fully remote work environment with flexibility and opportunities to collaborate with international teams. Comprehensive parental leave benefits.

Regular team collaboration opportunities, including hack days and innovation-focused projects. The final decision and next steps (interviews, assessments) are managed by their internal team. These tools assist our recruitment team but do not replace human judgment. Our partner is looking for a Data Scientist: Product & Analytics based in Germany.

As a Data Scientist focused on Product and Analytics, you will transform complex data into actionable insights that shape product decisions and improve user experiences at scale. This role goes beyond traditional analytics, offering ownership over production data systems and the opportunity to directly influence millions of user interactions.

If you enjoy solving ambiguous problems, combining technical expertise with business thinking, and creating meaningful data-driven solutions, this role offers an exciting opportunity to make a measurable difference.

Accountabilities Build, maintain, and improve production data products and analytical systems that support key business and product decisions. Develop reliable analytical foundations through data modeling, pipeline improvements, data quality monitoring, and scalable analytics solutions.

Partner with stakeholders to understand complex business challenges, explore data, identify opportunities, and recommend effective solutions. Translate complex analyses into clear insights for both technical and non-technical audiences, enabling better prioritization and decision-making.

Continuously improve analytics infrastructure, semantic data models, experimentation frameworks, and future data-driven capabilities. Strong programming skills in Python and SQL, with experience applying them to real-world data challenges.

Proven experience building production data products or analytical systems that have delivered measurable business impact. Strong understanding of experimentation methodologies, statistics, hypothesis testing, and data-driven decision-making. Ability to investigate complex datasets, identify meaningful patterns, and communicate insights effectively.

Strong ownership mindset with the ability to work independently, navigate ambiguity, and prioritize impactful solutions. Experience in B2C SaaS, subscription products, or product-led growth environments is an advantage. Opportunity to impact the experience of millions of users through data-driven product improvements.

Competitive compensation package aligned with experience, skills, and market conditions. 30 vacation days with flexibility to take time off when needed. Sabbatical leave opportunities for employees with extended tenure. Annual personal development budget to support learning, training, and professional growth.

Access to internal knowledge sharing, coaching opportunities, and skill development initiatives. Supportive culture focused on autonomy, creativity, continuous learning, and meaningful impact.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. We appreciate your interest and wish you the best!

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You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information.

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