Senior Product Analyst, Data Scientist

This is a fully remote position, open to applicants in Netherlands.

📋 Description

• Establish essential product and business metrics, creating a unified source of truth for Product, Finance, and Sales.

• Construct a detailed overview of self-service customers, encompassing usage trends, customer health, satisfaction levels, retention risks, unmet needs, and potential growth avenues.

• Convert customer demand and commercial strategies into capacity forecasts, aiding in capacity allocation decisions.

• Assess effective capacity utilization and pinpoint opportunities to enhance the commercial value of the available capacity.

• Formulate and assess pricing and packaging strategies, including guaranteed capacity, on-demand pricing, commitments, clawback mechanisms, and provisioned throughput units.

• Offer data-driven insights for both self-service and managed offerings, covering customer segmentation, pricing, and capacity considerations.

• Collaborate with Product, Engineering, Applied AI, Finance, and Sales to transform insights into tangible product and operational enhancements.

⛳️ Requirements

• Over 5 years of experience in analytics or data science.

• Proficient in Python, SQL, and statistics.

• Practical experience in analyzing large-scale datasets related to customers, products, and usage through statistical, analytical, or distributed data-processing tools.

• Familiarity with AI-assisted coding as a standard practice, with the capability to guide, validate, and take ownership of results.

• Competence in transitioning from a question to a production-ready solution.

• Ability to distill complex data into clear, actionable recommendations.

• Strong commercial and product acumen, effectively balancing customer value, monetization, growth, and profitability.

• Experience in pricing, packaging, monetization, or commercial analytics for technical or consumption-based products.

• Proven ability to collaborate cross-functionally with Product, Engineering, Data, Finance, Sales, and Operations.

• Proactive and hands-on working style in a complex and ambiguous technical environment.

• Candidates must have authorization to work in the country of application and provide proof of employment eligibility.

• Knowledge of LLM inference economics, including tokens, throughput and latency, batching, and GPU costs (preferred).

🏝️ Benefits

• Competitive compensation.

• Opportunities for career growth and learning.

• Flexibility and ownership of your work.

• A collaborative and innovative company culture.

• Chance to engage in impactful AI projects.

• Work in an international environment with talented teams.

• Fast-paced working environment.

• Encouragement of bold thinking.

• Continuous growth opportunities.

• Make a meaningful impact.

• Enjoy trust and genuine ownership.

• Opportunity to influence the future of AI.