为大家献上今天的精选岗位
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 【Houzz】
位:Revenue Data Scientist - Industry Solutions
行业分类:Software Development
公司规模:501-1000
工作地:Remote - US*
  • locations
    Remote - US*
职位要求:
  • An M.S degree in a technical discipline such as statistics, mathematics, computer science, operations research or economics
  • 2+ years data science experience dealing with complex problems in reporting, subscription products, user retention, revenue and marketplaces.
  • Strong proficiency in writing complex SQL queries, manipulating data with pandas, and common python data science libraries and generate dashboards in Tableau
  • Strong communication, presentation and interpersonal skills
  • Be a self starter who has strong attention to detail with an ability to work independently and deliver quality results
  • Ability to have fun!
职位申请链接(请直接复制至浏览器打开)
https://houzz.wd5.myworkdayjobs.com/en-US/External/job/Remote---US/Revenue-Data-Scientist---Industry-Solutions_R0001050

 【Bose Corporation】
职位:Data Engineer Co-Op
行业分类:Audio electronics
公司规模:7000
工作地点:US, MA - Framingham
职位要求:
Under the supervision of a Senior Data Engineer, some of your responsibilities will include: 
  • Continuing the full life cycle management of data pipelines: designing, developing, and providing production support for data pipelines that support customer experiences on connected devices, web applications, and mobile applications. 
  • Staying up to date on relevant technologies, participating in user groups, understanding trends, and identifying opportunities to ensure the adoption of the best techniques and tools. For instance, we are currently utilizing Snowflake, databricks, and AWS Serverless technologies. 
  • Collaborating with AWS Cloud Architects to optimize and evaluate scalable, serverless solutions, becoming the Subject Matter Expert (SME) for AWS solutions. 
  • Working in multi-functional agile teams to continuously experiment, iterate, and deliver on new data product objectives. 
职位申请链接(请直接复制至浏览器打开)
https://boseallaboutme.wd1.myworkdayjobs.com/zh-CN/Bose_Careers/job/US-MA---Framingham/Data-Engineer-Co-Op_R26416?locations=c286d09839da010d3342d8a79a599c38&locations=31b7f9e93b0f10995df085940a703858&locations=31b7f9e93b0f10995df08ca9b7383867&locations=31b7f9e93b0f10995df07be31d403844&locations=61fc0dd0d435018a4474dc689a11aa2a&locations=43979907a1e410bb1eb169edb5e3c0a0&locations=525231f0186e0117821dc4641b2459de&locations=eff671d2c9a90121f644028f894965bd&jobFamilyGroup=50f881f2a6861063f9a960a0b0b6670f&jobFamilyGroup=50f881f2a6861063f9f901550b256764&jobFamilyGroup=50f881f2a6861063f9ba6a019059671d&jobFamilyGroup=50f881f2a6861063fa65585c7bd1682f&workerSubType=1f9406d5717e109875eae116f2c007e5
GSK
职位Data Engineer
行业分类:Pharmaceutical Manufacturing
公司规模:10K
工作地点:King of Prussia, Pennsylvania
职位要求:
Basic Qualifications:
  • We are looking for professionals with these required skills to achieve our goals:
  • BS in Data Science, Computer Science, Applied Statistics or equivalent technical discipline
  • Minimum of 1 year of technical experience in Data Engineering and Analytics.
Preferred Qualifications:
  • If you have the following characteristics, it would be a plus:
    Technical
  • Exposure and interest in computer systems and databases
  • Preferred: Visual Basic Programming (or similar programming experience)
  • Preferred: Experience with Structed Query Language (SQL)
  • Preferred: Experience with HTML
  • Preferred: Experience with STATISTICA (or similar experience using SAS, JMP, Minitab, Discoverant, and/or SIMCA)
    Data Analytics
  • General quantitative training and experience through an engineering curriculum or similar in college or self-study
  • Preferred: Power BI certification PL-300
职位申请链接(请直接复制至浏览器打开)
https://jobs.gsk.com/en-gb/jobs/394412?lang=en-us&previousLocale=en-US
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