Data scientist Job at ExcelGens, Inc., San Francisco, CA

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  • ExcelGens, Inc.
  • San Francisco, CA

Job Description

About the Role: Data Scientist - Doordash

As a Data Scientist at DoorDash, you'll:

  • Mentor other scientists and leverage your quantitative background.
  • Dive into large datasets to guide decision-making across diverse challenges such as:
  • Customer acquisition.
  • Fraud prevention and support.
  • Marketing strategies.
  • Balancing supply and demand.
  • Launching new cities.
  • Enhancing marketplace efficiency.
  • Responsibilities:
  • Data Analysis and Insight Generation:
  • Use quantitative analysis and data presentation to uncover key business drivers.
  • Produce actionable recommendations through statistical techniques and hypothesis testing.
  • Identify and measure levers to improve essential metrics and provide strategic recommendations.

Experimentation and Reporting:

  • Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other tools.
  • Report progress against goals by defining essential metrics and creating executive-facing dashboards.
  • Collaborate with engineering teams to implement, validate, and monitor logging.
  • Mentorship and Collaboration:
  • Work with and mentor junior analysts, guiding them through advanced methods and complex challenges.
  • Collaborate with business and product leaders to offer insights into marketplace dynamics, user behaviors, and long-term trends.

Qualifications:

Educational Background:

Degree in Math, Physics, Statistics, Economics, Computer Science, or a related field.

Experience:

2+ years in data analytics, consulting, or a related role.

Hands-on experience with:

Funnel optimization, user segmentation, and cohort analyses.

Time series analyses and regression models.

Technical Expertise:

Proficiency in SQL queries, ETL processes, A/B Testing, and statistical analysis.

Familiarity with statistical packages like Matlab, R, SAS, or Python.

Expertise in analytics and visualization tools such as Chartio, Looker, or Tableau.

Problem-Solving Skills:

Ability to address ambiguous problems in a structured, hypothesis-driven, and data-supported way.

Job Tags

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