Remote job
Senior Product Analyst / Data Scientist
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About this role
Role overview
Own analytics questions end to end for a cloud product serving AI workloads: build the data, investigate the issue, and recommend actions that inform product and commercial decisions. The work spans product metrics, customer behavior, capacity planning, and monetization, in close partnership with Product, Engineering, Applied AI, Finance, Sales, and Operations.
Responsibilities - Define core product and business metrics and establish a reliable shared source of truth for internal teams. - Analyze self-service customer usage, health, satisfaction, retention risks, unmet needs, and opportunities for growth. - Forecast capacity from customer demand and commercial plans, and inform capacity allocation decisions. - Measure capacity utilization and identify ways to improve its commercial value. - Develop and assess pricing and packaging approaches, including reserved or on-demand capacity, commitments, and throughput options. - Turn findings into recommendations for customer segments, offerings, pricing, and operations, then work with partner teams on improvements.
Requirements - At least 5 years of experience in analytics or data science. - Strong Python, SQL, and statistical skills, with the ability to explain and validate methods and code. - Hands-on experience analyzing large customer, product, or usage datasets, including use of distributed data-processing or analytical tools. - Ability to take a question through to a production-ready solution and communicate complex findings clearly. - Commercial and product judgment that balances customer value, monetization, growth, and profitability. - Experience with pricing, packaging, monetization, or commercial analytics for technical or usage-based products. - Collaborative, proactive approach and comfort working through ambiguity across technical and business teams.
Nice to have - Familiarity with the economics of language model inference, including tokens, throughput, latency, batching, and GPU costs. - Experience using AI-assisted coding, with responsibility for reviewing and validating generated work.
Benefits and work setup - The listing describes compensation as competitive and highlights flexibility, ownership, learning opportunities, and work on AI projects in an international environment.