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美国“美团”DoorDash纽约办公室全职机会| Data Analytics 职位

美国“美团”DoorDash纽约办公室全职机会| Data Analytics 职位 CareerTu职图
2019-07-05
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今日职位


Data Analytics


DoorDash

Data Scientist


公司:DoorDash

职位: Data Scientist

类型:Fulltime

地点:New York, NY, US


岗位职责:

  • Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business

  • Provide insights to help business and product leaders understand marketplace dynamics, user behaviors, and long-term trends

  • Identify and quantify levers to help move key metrics

  • Recommend which features to build and why

  • Work backwards from understanding and sizing problems to ideating solutions

  • Generate recommendations and use statistical techniques and hypothesis testing to validate your findings. This includes:

    • Performing analytical deep-dives to identify problems, opportunities and actions required;

    • Collecting, processing, and cleaning data from disparate sources using SQL, R, Python, or other scripting and statistical tools; and

    • Managing the design, execution, and analysis of experiments; driving rigor and testing culture through product and operations teams

  • Report against company initiatives by identifying key metrics and building executive-facing dashboards to track progress

    • Monitor key performance metrics, understanding root causes of changes

    • Build data sets and reporting tables to empower operational and exploratory analysis

    • Partner with engineering to implement, document, validate, and monitor our logging


职位要求:

  • 2-5 years of experience in a data analytics, consulting, or other quantitative role

  • Examples of relevant experience include: Funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc.

  • Experience with analyzing both client side and server side tracking a plus

  • An ability to write very complex SQL queries. ETL experience a plus

  • Proficiency in one or more analytics & visualization tools (e.g. Chartio, Looker, Tableau)

  • A deep understanding of statistical analysis (e.g. hypothesis testing, experimentation, regressions) and familiarity with statistical packages, such as Matlab, R, SAS or Python

  • Strong business judgment. You've got the ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way

  • Self-starter attitude. You’re someone who can initiate and drive projects to completion with minimal guidance

  • Get-it-done mindset. You’re not afraid of long hours, able to handle stress well, humble and scrappy!

  • A degree in Math, Physics, Statistics, Economics, Computer Science, or other quantitative field


申请链接:

https://bit.ly/2FJ0ZAs


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CareerTu职图 CareerTu (www.careertu.com) 是互联网新职业在线技能学习平台,专注于数字营销 数据分析 商业分析 产品设计。Unlock Your Potential 激发潜能,迭代自我 突破技能界限,实现职场飞跃
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