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Data Scientist: Product & Analytics
Meridian Softworks · Netherlands · Posted 1d ago
Available in 7 locations
France · remote Apply → Germany · remote Apply → Ireland · remote Apply → Netherlands · remote Apply → Spain · remote Apply → Switzerland · remote Apply → UK · remote Apply →About the role
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Scientist: Product & Analytics based in Netherlands. 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. 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. This role goes beyond traditional analytics, offering ownership over production data systems and the opportunity to directly influence millions of user interactions. You will collaborate closely with Product, Growth, and Engineering teams in a highly autonomous environment where impact and outcomes matter. 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. Design and analyze experiments in collaboration with Product and Growth teams, defining success metrics, evaluating outcomes, and providing actionable recommendations. 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. 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. 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. 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. 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. Benefits Fully remote work environment with flexibility and opportunities to collaborate with international teams. 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. Comprehensive parental leave benefits. Annual personal development budget to support learning, training, and professional growth. Access to internal knowledge sharing, coaching opportunities, and skill development initiatives. Regular team collaboration opportunities, including hack days and innovation-focused projects. Supportive culture focused on autonomy, creativity, continuous learning, and meaningful impact. How Meridian Softworks 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. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Meridian Softworks? Data Privacy Notice: By submitting your application, you acknowledge that Meridian Softworks will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1
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FAQ
Is the Data Scientist: Product & Analytics role at Meridian Softworks remote?+
This Data Scientist: Product & Analytics position is listed as remote (Netherlands).
What seniority level is this Data Scientist: Product & Analytics role?+
This is a unknown level position.
How do I apply for the Data Scientist: Product & Analytics role at Meridian Softworks?+
Use the "Apply on lever:jobgether" button to open the original posting on lever:jobgether, where you can submit your application directly to Meridian Softworks.