СШАTemporal Technologies
Senior Data Scientist
3 дн. назад
137.6k–220k USDСШАSeniorRemote
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The Senior Data Scientist at Temporal supports the Product Led Growth function by analyzing user behavior and driving data-informed product decisions to improve adoption and retention of Temporal's developer platform.
О компании
- Temporal — упрощает разработчикам запуск микросервисов, минимизируя риск технических сбоев.
- Среди клиентов – ClickHouse, Snapchat, Coinbase и др.
- Размер команды — 51-200 | Инвестиции — $75M
О продукте
- Temporal simplifies microservice orchestration to minimize operational risks.
Обязанности
- Act as an embedded Data partner to Product, Design, and Engineering, shaping strategy, product proposals, and experiments from early stages.
- Build analytical frameworks across the full Product Led Growth journey from acquisition to monetization and durability.
- Use funnel, cohort, journey, and sequence analysis to identify friction points and improvement opportunities.
- Identify behaviors predicting conversion, production readiness, expansion, churn, and long-term success.
- Analyze feature discovery and adoption patterns to recommend interventions increasing adoption and expansion.
- Design and evaluate experiments using matched comparisons, pre/post-intervention analysis, causal methods when A/B testing isn't feasible.
- Clearly distinguish observed results from assumptions, quantify uncertainty, and explain confidence levels.
- Help prioritize growth opportunities based on impact, confidence, effort, and measurement feasibility.
- Build reusable datasets, metrics, dashboards, and tools to reduce ad hoc work and share insights across teams.
- Partner with Engineering and Data Engineering to improve event instrumentation, data quality, and analytical models.
- Communicate findings through clear visualizations, narratives, and practical recommendations for technical and non-technical audiences.
- During first months: audit onboarding signals, recommend new instrumentation.
- Establish reporting and repeated analysis for PLG experiments.
- Analyze user behavior after first successful Activity or Workflow.
- Identify production readiness signals and common stall points.
- Map feature-adoption paths across key product areas.
Требования
- Strong foundation in statistics, experimental design, causal reasoning, and quantitative analysis.
- Experience improving activation, engagement, retention, conversion, or expansion with product or event data.
- Experience handling small samples, noisy signals, imperfect control groups, and non-standard A/B testing.
- Strong judgment to choose appropriate methods for decisions and data conditions.
- Proficiency in SQL and Python for analysis, modeling, and automation.
- Experience with cohort analysis, funnel analysis, segmentation, predictive modeling, and machine learning methods.
- Ability to prototype quickly in notebooks and convert analyses into data products or workflows.
- Experience with modern data platforms and query engines such as Athena, Presto/Trino, BigQuery, or Snowflake.
- Familiarity with AWS S3 and cloud/object-store technologies.
- Experience building dashboards and reusable analytical assets in modern BI platforms.
- Comfort working with evolving definitions, incomplete instrumentation, and analytical trade-offs.
- Results-oriented mindset with demonstrated ability to translate analysis into business or product action.
- Strong communication skills to explain methods, uncertainty, and recommendations clearly.
- Curiosity about developer platforms, cloud infrastructure, and usage-based products.
- Collaborative approach working effectively with Product, Engineering, Marketing, Sales, Finance, and Data partners.
Условия
- Remote (US)