Data Science Manager

Product Management  |  Beijing, China

Position description

Position at LinkedIn

Data Science Manager

Beijing, China

 

LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to stay informed, stay connected, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We’re much more than a digital resume – we transform lives through innovative products and technology. Searching for your dream job? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works.

LinkedIn China’s Analytics team uses both internal big data at web-scale and external industry and market data to generate actionable business insights to inform product, marketing, and sales strategies and identify business opportunities. The team also lead cross-functional initiatives to optimize LinkedIn’s business and member experience in China, which is a key market for LinkedIn’s global expansion.

This team is looking for a Data Science Manager to lead a stellar team of data scientists who are working on using data insights to provide recommendations and help make business strategies in China. Join us in making LinkedIn successful in the country with largest population of professionals!

And as part of the larger LinkedIn Analytics team, you’ll have the opportunity to work with some of the best data people anywhere in an environment that truly values data-driven decisions.

Responsibilities:

We are looking for an Analytics leader to lead the LinkedIn China Analytics team. You will be responsible for partnering with business leaders across functions from product, engineering, marketing and sales to ensure decisions are being made via best use of our data in creating and executing business strategies. You will be responsible for growing, mentoring, and leading the analytics team members, for prioritizing projects across the team, and more broadly evangelizing data across LinkedIn.

You will be leading and guiding a team of data scientists whose day to day responsibilities include:

  • Extract and analyze LinkedIn data to derive actionable insights
  • Formulate success metrics for completely novel products, socializing them and creating dashboards/reports to monitor them
  • Collect and analyze market and industry competitive landscape data, combine with LinkedIn’s own data, and help leadership team create business strategies
  • Design and analyze experiments to test new business ideas and convert the results into actionable business recommendations
  • As an end consumer of the data, determine the tracking necessary to enable analytics of our products and features by working closely with product, marketing and engineering partners
  • Enable others in the organization to utilize your work by onboarding new metrics into our self-serve data system and the experimentation platform
  • Develop models and data-driven solutions that add material lift to principal performance metrics
  • Exploratory data analysis with the goal of product ideation, prototyping, and developing new and innovative features that can drive additional value for/engagement from our members
  • Optimize business flows with automated and data driven solutions to add value to the business
  • Communicate the results of work, to evangelize data-driven business innovation
  • Provide technical guidance to more junior team members

 

Basic Qualifications:

  • BS degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
  • 4+ years’ industry experience working with large amounts of real data with SQL (Teradata, Oracle, or MySQL) and R, or other statistical package
  • 4+ years’ industry experience providing analytical insights and business reports to product or business functions
  • Previous experience managing data scientists in a cross functional team setting

Preferred Qualifications:

  • MS degree/PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
  • Experience in Hadoop or other MapReduce paradigms and associated languages such as Pig, Sawzall, etc.
  • 5+ years of experience working with large datasets
  • Experience presenting insights to executive staff on a regular basis
  • Expertise in applied statistics and in at least one statistical software package, preferably R
  • Ability to communicate findings clearly to both technical and non-technical audiences
  • Ability to translate business objectives into actionable analyses

 

数据分析经理

中国,北京

领英致力于帮助职场人士实现更好的职业发展,每天有数百万用户使用我们的产品了解行业资讯、拓展职业人脉、发现职场机遇、获取商业洞察。领英国际化的平台意味着我们对全球的职场人士具有独一无二的直接影响。领英绝不仅代表一份电子简历,我们通过创新的产品和技术改变人们生活。还在努力搜寻你梦想的职业吗?在领英,我们致力于帮助员工发现激情和目标所在。加入我们,改变世界!

领英中国的分析团队通过公司内部的大数据与外部行业和市场数据形成有效的商业洞察,从而影响产品、营销和销售策略并发现商业机会。

同时,中国作为领英全球扩张的重要市场,分析团队还将带领各职能部门优化领英在中国的业务和用户体验。

我们正在寻找一位数据分析经理来领导一流的数据科学家团队,通过数据洞察为领英中国提供商业策略和建议。加入我们,让领英在拥有最多职场人士的国家获取成功!

作为全球领英分析团队的一员,你将有机会在真正认同数据驱动决策的公司里,与全球最优秀的数据科学家共事。

岗位职责:

我们正在寻找领导领英中国分析团队的经理。你将负责与不同部门(产品、技术、营销和销售)的领导合作,充分利用我们的数据优势,在制定和实施商业策略时做出更优决策。你将培养、指导并带领分析团队成员,为团队工作确定优先级,并在领英内部更广泛的传递数据价值。

你将带领并指导数据科学家的日常工作,包括:

  • 提取并分析领英数据,转化为有效的商业洞察
  • 为全新产品制定绩效指标,形成可视化报告并进行监测
  • 收集并分析市场和行业竞争者数据,与领英内部数据相结合,以帮助领导团队制定商业战略
  • 设计新产品概念测试并进行分析,将结果转化为可行的产品建议
  • 作为数据的终端使用者,通过与产品和技术团队的紧密合作,设置用于分析产品和功能必要的数据追踪
  • 在领英内部的数据系统和平台上线新的度量指标,使其他团队可以利用你的工作成果
  • 开发数据驱动的解决方案和模型,以提升主要的绩效指标
  • 为产品构思、设计和开发创新功能进行探索性的数据分析,从而提高用户参与度,为业务带来附加价值
  • 通过自动化的数据驱动解决方案,优化业务流程以提高商业价值
  • 沟通工作结果,传达数据驱动的业务创新
  • 为初级团队成员提供技术指导

岗位要求:

  • 大学本科学历,量化领域专业,如统计、运筹学、计算机科学、信息科学、工程学、应用数学或经济学等
  • 四年以上使用 SQL (Teradata, Oracle, or MySQL)R 或其他统计程序处理大量真实数据经验
  • 四年以上为产品或其他商业职能部门提供分析性洞察和报告的经验
  • 跨职能和部门数据科学团队管理经验

符合以下条件者优先:

  • 量化相关专业硕士或博士学位,如统计、运筹学、计算机科学、信息科学、工程学、应用数学或经济学等
  • 有Hadoop,MapReduce 或其他相关语言如 Pig, Sawzall 等的丰富经验
  • 五年以上处理大型数据集的工作经验
  • 有定期向管理层汇报商业洞察的经验
  • 精通应用统计学和至少一个统计软件包(最好是 R
  • 能够将分析结果清楚地传达解释给技术岗和非技术岗同事
  • 善于将商业目标转化为可操作性的分析


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