Uber
Applied Science Manager II - Marketing Measurement
Uber, San Francisco, California, United States, 94199
About the Role
Read the overview of this opportunity to understand what skills, including and relevant soft skills and software package proficiencies, are required.We’re looking for an Applied Science Manager to lead the CRM Measurement Applied Science team. In this role, you and your team will be responsible for improving the way we test and measure the effectiveness of marketing communications via email, push, SMS, and in-app channels. Your work will inform best practices in the use of our channels to reach riders, drivers, eaters, couriers, and more.
Problems we’re working on include:
What information or promotions do our users find the most engaging and compelling? How and when should we send these messages?
Do our marketing campaigns compete with one another for the attention of our audiences, and how can we adjudicate among them?
What is the cost to our business when a user unsubscribes from marketing communications?
What You'll Do
Design and analyze experiments on our email, push, and SMS campaigns to estimate the impact of our marketing comms – campaign-by-campaign and holistically – on user behavior, sentiment, and perceptions.
Support Uber’s global teams of marketers by discovering and answering open questions about marketing effectiveness.
Collaborate with applied scientists in the Paid Marketing and Marketplace teams to refine our statistical methods and disseminate best practices.
Partner with Product and Engineering teams to enhance instrumentation and infrastructure for experimentation and measurement.
Basic Qualifications
PhD, MS, or Bachelor’s degree in Statistics, Economics, Machine Learning, Operations Research, or another quantitative field
Experience with experimental and observational analysis techniques
Proficiency with SQL and a programming language such as R or Python
Preferred Qualifications
Strong problem-solving and analytical skills
Ability to develop and execute on an applied science or research roadmap
Experience managing or mentoring technical individual contributors
Previous experience in CRM or Marketing
For New York, NY-based roles: The base salary range for this role is USD$203,000 per year - USD$225,500 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD$203,000 per year - USD$225,500 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits.
Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office.
#J-18808-Ljbffr
Read the overview of this opportunity to understand what skills, including and relevant soft skills and software package proficiencies, are required.We’re looking for an Applied Science Manager to lead the CRM Measurement Applied Science team. In this role, you and your team will be responsible for improving the way we test and measure the effectiveness of marketing communications via email, push, SMS, and in-app channels. Your work will inform best practices in the use of our channels to reach riders, drivers, eaters, couriers, and more.
Problems we’re working on include:
What information or promotions do our users find the most engaging and compelling? How and when should we send these messages?
Do our marketing campaigns compete with one another for the attention of our audiences, and how can we adjudicate among them?
What is the cost to our business when a user unsubscribes from marketing communications?
What You'll Do
Design and analyze experiments on our email, push, and SMS campaigns to estimate the impact of our marketing comms – campaign-by-campaign and holistically – on user behavior, sentiment, and perceptions.
Support Uber’s global teams of marketers by discovering and answering open questions about marketing effectiveness.
Collaborate with applied scientists in the Paid Marketing and Marketplace teams to refine our statistical methods and disseminate best practices.
Partner with Product and Engineering teams to enhance instrumentation and infrastructure for experimentation and measurement.
Basic Qualifications
PhD, MS, or Bachelor’s degree in Statistics, Economics, Machine Learning, Operations Research, or another quantitative field
Experience with experimental and observational analysis techniques
Proficiency with SQL and a programming language such as R or Python
Preferred Qualifications
Strong problem-solving and analytical skills
Ability to develop and execute on an applied science or research roadmap
Experience managing or mentoring technical individual contributors
Previous experience in CRM or Marketing
For New York, NY-based roles: The base salary range for this role is USD$203,000 per year - USD$225,500 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD$203,000 per year - USD$225,500 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits.
Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office.
#J-18808-Ljbffr