数据科学家5 - 可用性
Data Scientist 5 - Availability
在Netflix，我们的使命是娱乐全世界。我们正在书写下一章——突破叙事、全球粉丝和将不可想象变为现实的边界。我们是一支梦想团队，痴迷于探索当创意、直觉和尖端技术融合时带来的不适感与兴奋感。加入我们，成为未来的一部分。
作为专注于基础设施可用性的高级数据科学家，你将加入一个由分析工程师、数据工程师和数据科学家组成的数据团队，与我们的基础设施工程团队合作，创建指标、构建工具、进行分析并提出建议，以数据为基础提升系统的可靠性和可用性。你将与数据科学、软件工程、性能工程和技术产品管理团队密切合作，开发衡量系统和产品领域当前性能的指标，定义良好的性能标准，理解可用性问题的根本原因，并提出业务应如何优先改进系统性能的建议。
理想的候选人将在指标研究与开发、统计建模和因果推断方面表现出色，并对持续改进我们使用数据的方式以提升Netflix基础设施充满热情。
了解更多关于我们团队的信息，请点击这里。
在此职位中，你将：
- 开发指标来衡量Netflix基础设施堆栈的可用性、可靠性和性能
- 与数据工程、数据科学和分析工程师合作，将系统级别的可用性指标和仪表板投入生产
- 与软件工程师、性能工程师、技术产品经理和其他产品团队合作，对可用性问题进行根本原因和因果推断分析，并提出补救建议
- 与Netflix更大的分析社区联系，提高我们工作的可见性
你具备：
- 在大型分布式系统、平台和/或基础设施的系统可靠性/可用性领域具有指标开发和测量经验
- 熟练掌握至少一种分析和脚本语言，如Python
- 具备使用SQL等语言构建数据管道和ETL的经验，以及使用Apache Airflow等工作流编排工具的经验
- 对使用数据指导战略决策充满热情
- 具备优秀的沟通能力，能够与技术和非技术人员交流
查看英文原文
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.
As a Senior Data Scientist focused on Infrastructure Availability, you will join a data org of Analytics Engineers, Data Engineers, and Data Scientists who partner with our infrastructure engineering teams to create metrics, build tools, perform analyses and make recommendations on how to improve the reliability and availability of our systems using data. You will work closely with partners in data science, software engineering, performance engineering and technical product management to develop metrics to assess current performance across systems and product domains, define what adequate performance looks like, understand the root causes of availability issues, and make recommendations for how the business should prioritize system performance improvements.
The ideal candidate will excel in metric research & development, statistical modeling, causal inference, and share a passion for continuously improving the way we use data to make the Netflix infrastructure better.
To learn more about our team, read here.
In this role, you will:
- Develop metrics to measure the availability, reliability and performance of Netflix’s infra stack
- Partner with Data Engineering, Data Science and Analytics Engineers to productionize system level availability metrics and dashboards
- Partner with Software Engineers, Performance Engineers, Technical Product Managers and other product teams to conduct root cause and causal inference analysis of availability issues and make recommendations for how to remediate
- Connect with the larger analytics community at Netflix to bring more visibility to our work.
You are:
- Experienced in metric development and measurement in the domain of system reliability / availability for large, distributed systems, platforms, and/or infrastructure
- Fluent in at least one analytics and scripting language like Python.
- Experienced in engineering data pipelines and ETL in languages like SQL and workflow orchestration tools like Apache Airflow.
- Passionate about using data to help guide strategic decision making.
- An exceptional communicator with both technical and non-technical audiences. Experienced at telling stories with data and communicating to stakeholders at all levels of the business.
- Experienced in building strong relationships with stakeholders and colleagues to tackle big, cross-functional problems.
- Comfortable with ambiguity, and thrive with minimal oversight and process.
- A strong product thinker with good product sense: you know how to get at what our partners need and how to develop solutions to satisfy those needs.
Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $372,000.00 - $600,000.00. This compensation range will vary based on location.Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusionis a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Job is open for no less than 7 days and will be removed when the position is filled.
Originally posted on Himalayas