高级数据科学家
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Senior Data ScientistDatabricks · Mountain View, California; San Francisco, California
职位信息来自雇主公开的招聘页面。申请前请务必在雇主官网核实详情。
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职位描述
机器翻译P-191
在Databricks，我们致力于让数据团队能够解决世界上最棘手的问题，从安全威胁检测到抗癌药物研发。我们通过构建和运行全球最佳的数据和AI基础设施平台来实现这一目标，让我们的客户能够专注于对其自身使命至关重要的高价值挑战。
Databricks由Apache Spark的原始创建者于2013年创立，已从加利福尼亚州伯克利的一间小角落办公室发展成为拥有1000多名员工的全球性组织。从中小企业到财富100强，数千家组织将其关键任务工作负载托付给Databricks，使我们成为全球增长最快的SaaS公司之一。
我们的工程团队构建高度技术性的产品，满足世界上真实而重要的需求。我们不断突破数据和AI技术的边界，同时以韧性、安全性和规模运营，这对于让客户在我们的平台上取得成功至关重要。
我们开发和运营着全球最大规模的软件平台之一。该集群由数百万台虚拟机组成，每天生成数TB的日志并处理数EB的数据。在我们的规模下，我们会经常观察到云硬件、网络和操作系统故障，我们的软件必须优雅地保护我们的客户免受上述任何问题的影响。
作为数据团队的数据科学家，您将通过帮助解决产品和业务挑战，协助在Databricks内部建立数据驱动的文化。数据团队还充当内部的生产型“客户”，践行Databricks产品并推动产品的未来方向。
如果您对机器学习基础设施感兴趣，请在此申请软件工程师（后端）职位。
您将产生的影响：
• 塑造我们2020年一些关键数据科学领域的方向——使用量预测、产品分析、用户行为和漏斗分析。
• 与产品管理、销售、客户成功和其他利益相关者紧密合作，了解产品使用模式和趋势，并做出数据驱动的决策和预测。
• 管理其专注领域的利益相关者——收集不断变化的需求，定义项目OKR和里程碑，并向非技术受众沟通进展和结果。
• 通过协助项目规划、技术决策以及代码和文档审查，指导和引导团队中的数据科学家。
• 构建自助式内部数据产品，使公司内部的数据变得简单。
我们寻找的素质：
• 在生产环境中应用数据科学/机器学习来构建数据驱动产品以解决业务问题的经验。
• 熟悉产品分析——使用采用率、流失、群组和漏斗分析等视角来理解和跟踪客户及用户行为。
• 与来自各种业务职能的利益相关者合作并理解其需求的经验。我们目前与产品、客户成功和工程团队合作最为紧密，但也与销售、市场和财务组织合作。
• 具备Scala或Python等通用语言的强大编码能力，并熟悉围绕测试、代码审查和部署的软件工程原则。
• 熟练使用R和Python等工具进行数据分析和可视化。
• 具有Spark和Hadoop等分布式数据处理系统的经验，并精通SQL。
• 计算机科学或相关领域的学士/硕士/博士学位
关于Databricks
Databricks是一家数据和AI公司。全球超过5,000家组织——包括Comcast、Condé Nast、H&M以及超过40%的财富500强——依赖Databricks Lakehouse平台来统一其数据、分析和AI。Databricks总部位于旧金山，在全球设有办事处。Databricks由Apache Spark™、Delta Lake和MLflow的原始创建者创立，其使命是帮助数据团队解决世界上最棘手的问题。如需了解更多信息，请在Twitter、LinkedIn和Facebook上关注Databricks。
我们对多元化和包容性的承诺
在Databricks，我们致力于培育一种多元化和包容性的文化，让每个人都能脱颖而出。我们非常重视确保我们的招聘实践具有包容性并符合平等就业机会标准。在Databricks寻求就业的个人不会因年龄、肤色、残疾、种族、家庭或婚姻状况、性别认同或表达、语言、国籍、身体和精神能力、政治派别、种族、宗教、性取向、社会经济状况、退伍军人身份以及其他受保护特征而受到区别对待。
福利待遇
在Databricks，我们努力提供满足所有员工需求的全面福利和津贴。如需了解您所在地区所提供福利的具体详情，请点击此处。
我们对多元化和包容性的承诺
在Databricks，我们致力于培育一种多元化和包容性的文化，让每个人都能脱颖而出。我们非常重视确保我们的招聘实践具有包容性并符合平等就业机会标准。在Databricks寻求就业的个人不会因年龄、肤色、残疾、种族、家庭或婚姻状况、性别认同或表达、语言、国籍、身体和精神能力、政治派别、种族、宗教、性取向、社会经济状况、退伍军人身份以及其他受保护特征而受到区别对待。
合规
如果履行工作职责需要访问受出口管制的技术或源代码，雇主可自行决定是否为此类职位申请美国政府许可证，雇主也可能仅基于此原因而拒绝继续推进某位申请人的申请。
薪资
Databricks致力于公平和公正的薪酬实践。该职位的薪资范围列于下方，代表非佣金制职位的预期薪资范围或佣金制职位的目标收入。实际薪酬方案基于每位候选人独有的若干因素，包括但不限于与工作相关的技能、经验深度、相关认证和培训以及具体工作地点。基于上述因素，Databricks预计将使用该范围的全部宽度。该职位的总薪酬方案还可能包括年度绩效奖金、股权以及上述福利的资格。如需了解您所在地区属于哪个范围的更多信息，请访问我们的页面此处。
本地薪资范围 $123,200 — $218,000 USD
关于Databricks
Databricks是一家数据与AI公司。全球超过20,000家组织——包括adidas、AT&T、Bayer、Block、Mastercard、Rivian、Unilever以及70%的财富500强——依赖Databricks Data + AI平台来构建和扩展数据与AI应用、分析和代理。Databricks总部位于旧金山，在全球设有30多个办事处，提供统一的平台，包括Genie、Lakebase、Agent Bricks、Lakeflow、Lakehouse和Unity Catalog。如需了解更多信息，请在LinkedIn、X、YouTube和Instagram上关注Databricks。
以上内容由机器翻译自动生成，可能存在错误；投递前请以雇主原文为准。
查看雇主原文
职位描述
P-191
At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.
Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world.
Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform.
We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.
As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping solve product and business challenges. The Data team also functions as a in-house, production "customer" that dogfoods Databricks and drives the future direction of the products.
If you are interested in machine learning infrastructure, please apply to the Software Engineer Backend job opening here.
The impact you will have:
• Shape the direction of some of our key data science areas for 2020 - usage forecasting, product analytics, user behavior and funnel analysis.
• Work closely with Product Management, Sales, Customer Success and other stakeholders to understand product usage patterns and trends and to make data-driven decisions and forecasts.
• Manage stakeholders for their focus area - gather changing requirements, define project OKRs and milestones, and communicate progress and results to a non-technical audience.
• Mentor and guide data-scientists on the team by helping with project planning, technical decisions, and code and document review.
• Build self-serving internal data products to make data simple within the company.
What we look for:
• Experience in applying Data Science / ML in production to build data-driven products for solving business problems.
• Familiarity with Product Analytics - understanding and tracking customer and user behaviour using lenses like adoption, churn, cohorts and funnel analysis.
• Experience collaborating with and understanding the needs of stakeholders from a variety of business functions. We work most closely with Product, Customer Success and Engineering at the moment, but also work with the Sales, Marketing and Finance organizations.
• Strong coding skills in general purpose languages like Scala or Python, and familiarity with software engineering principles around testing, code reviews and deployment.
• Proficient in data analysis and visualization using tools like R and Python.
• Experience with distributed data processing systems like Spark and Hadoop, and proficiency in SQL.
• BS/MS/PhD in Computer Science, or a related field
About Databricks
Databricks is the data and AI company. More than 5,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world's toughest problems. To learn more, follow Databricks on Twitter , LinkedIn and Facebook .
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
福利待遇
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here .
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
薪资
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here .
Local Pay Range $123,200 — $218,000 USD
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .