DoorDash

Senior Data Scientist, Analytics

DoorDash
San Francisco, CA, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

Are you a data-driven problem solver with a passion for driving business growth through analytical insights? Do you thrive in a fast-paced, dynamic environment where your contributions can have a direct impact on company strategy? If so, DoorDash is looking for a Senior Data Scientist, Analytics to join our team and help shape the future of our company. As a Senior Data Scientist, you will be responsible for using your expertise in data analysis and predictive modeling to drive key business decisions and optimize our operations. This role requires a highly analytical mindset, strong technical skills, and a proven track record of delivering actionable insights. If you're ready to take on a challenging and rewarding role in a rapidly growing company, we want to hear from you!

  1. Conduct data analysis and predictive modeling to identify key business opportunities and drive growth for the company.
  2. Utilize advanced statistical and machine learning techniques to develop insights and recommendations for strategic decision making.
  3. Communicate complex analytical findings in a clear and concise manner to both technical and non-technical stakeholders.
  4. Collaborate with cross-functional teams, including product, engineering, and operations, to develop and implement data-driven solutions.
  5. Continuously monitor and analyze key performance metrics to identify trends and uncover areas for improvement.
  6. Develop and maintain dashboards and reports to track key business metrics and provide actionable insights to stakeholders.
  7. Stay up-to-date with industry trends and best practices in data analysis and modeling, and apply them to improve our processes and methodologies.
  8. Mentor and guide junior data scientists in the team, providing guidance and support in developing their analytical skills and knowledge.
  9. Work with large and complex datasets, ensuring data quality and accuracy.
  10. Identify and implement process improvements to streamline data collection, analysis, and reporting processes.
  11. Take ownership of projects and deliver results within tight deadlines.
  12. Contribute to the development and maintenance of our data infrastructure and tools.
  13. Act as a subject matter expert on data-driven decision making, providing guidance and insights to various stakeholders across the company.
Where is this job?
This job is located at San Francisco, CA, USA
Job Qualifications

  • Extensive Experience In Data Analysis: A Senior Data Scientist Should Have A Strong Background In Data Analysis, Including Proficiency In Statistical And Analytical Tools Such As Sql, Python, And R. They Should Have A Deep Understanding Of Data Cleaning, Manipulation, And Visualization Techniques.

  • Leadership And Management Skills: As A Senior Data Scientist, The Individual Will Be Responsible For Leading And Managing A Team Of Data Analysts And Scientists. Therefore, They Should Possess Excellent Leadership And Management Skills, Including The Ability To Mentor And Train Junior Team Members.

  • Business Acumen: In Addition To Technical Skills, A Senior Data Scientist Should Have A Strong Understanding Of Business Operations And Objectives. They Should Be Able To Use Data Insights To Drive Strategic Decision-Making And Provide Actionable Recommendations To Improve Business Performance.

  • Communication And Collaboration Skills: Effective Communication Is Essential For A Senior Data Scientist, As They Will Need To Present Complex Data Findings To Non-Technical Stakeholders. They Should Also Be Able To Collaborate With Cross-Functional Teams To Gather Data And Insights From Various Sources.

  • Advanced Degree In A Related Field: A Senior Data Scientist Should Hold A Master's Or Ph.d. In A Quantitative Field Such As Mathematics, Statistics, Data Science, Or Computer Science. This Advanced Education Provides A Strong Foundation For The Complex And Technical Work Involved In This Role.

Required Skills

  • SQL Programming

  • Machine Learning

  • A/B testing

  • Big data analysis

  • Data Visualization

  • Cloud Computing

  • Experimental design

  • Natural language processing

  • Statistical modeling

  • Predictive modeling

  • Time series analysis

Soft Skills

  • Communication

  • Emotional Intelligence

  • Leadership

  • Time management

  • creativity

  • Organization

  • flexibility

  • Teamwork

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Senior Data Scientist, Analytics in San Francisco, CA, USA is between $150,000 and $200,000 per year. This can vary depending on factors such as experience, education, and the specific company and industry. Some senior data scientists in San Francisco may earn even higher salaries, up to $250,000 or more.

Additional Information
DoorDash is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedJuly 26th, 2024
Apply BeforeOctober 17th, 2025
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