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Marketing Science Partner

Meta

Marketing Science Partner

Meta

São Paulo, Brazil

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Development budget

Stock options

Team offsites

Competitive salary and bonus

Creative environment

Equity

Required Skills

Salesforce

Marketo

HubSpot

This position will work with internal and external stakeholders to advise clients and the industry on measurement strategy and work with them on an ongoing basis to adopt better measurement as a way to improve business performance. To accomplish this, the person in this role will drive industry adoption of Facebook preferred measurement methods and products and design and execute empirical research for individual clients and at the industry-level.

Driving good measurement with clients will require designing tests and doing research to help clients understand and improve the effectiveness of their advertising across digital platforms and across media.

Meta is seeking exceptional candidates to join this team: we're looking for people with demonstrated analytical and critical thinking skills, familiarity with large data sets and data tools and marketing industry knowledge. To successfully influence how clients conduct and use measurement, the candidate will need to have experience to work cross-functionally with advertisers, sales teams, and other members of the Marketing Science team.

Marketing Science Partner Responsibilities:

  • Work with clients to support them in measuring true business value and growing their businesses through Meta's ad platforms
  • Building and operationalizing measurement strategies that highlights how the client can improve business outcomes by employing highly customized measurement techniques
  • Drive client, vertical, and industry adoption of preferred measurement methodologies, products, and approaches
  • Develop and execute scaled programs that address advertisers measurement needs at scale
  • Design tests to showcase the power of good measurement using client data and Meta or third-party technology tools
  • Conduct in-depth custom ad effectiveness studies and bespoke analyses to understand the relative impact of different marketing strategies across digital platforms and across media
  • Transform complex research results into compelling storytelling and inspire action by communicating to a general audience (technical and non technical stakeholders)
  • Deliver training and inspirational sessions for groups of all sizes both internally and externally
  • Manage a complex set of relationships across client's organizations, functions to include C-suite, strategy teams, data and analytics teams, marketing and media teams
  • Partner closely with cross-functional partners such as Sales, Product, R&D, Ads Research, Creative Shop etc

Minimum Qualifications:

  • Bachelor's degree in an analytical field such as Computer Science, Engineering, Mathematics, Statistics, Economics, Administration, Finance, or similar
  • 5yrs+ consulting, research or analytics research experience and experience using data and numbers to formulate insights
  • Experience analyzing and manipulating data sets to understand patterns and provide client insights
  • Knowledge of advertising measurement methods and technologies is a distinct advantage
  • Client-facing experience, including experience driving change through adoption of new products or research methods
  • Experience communicating technical content to all types of audiences and influencing at C-levels
  • Experience analyzing and manipulating data sets using R, Python, SQL and etc. and applying statistics where appropriate to understand patterns and provide insights
  • Experience with advertising measurement methods and technologies for direct response outcomes, including field experiments, experimental designs, etc
  • Fluent in Portuguese and English
  • Availability to travel occasionally

Preferred Qualifications:

  • Proficiency in Spanish is an asset for this position.
  • Experience in the advertising industry is an asset.
  • Direct experience with direct response attribution measurement methodologies, tools and data sets.

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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About Meta

Meta

Meta

Public

A social technology company that enables people to connect, find communities, and grow businesses.

10,001+

Employees

Menlo Park

Headquarters

$800B

Valuation

Reviews

3.4

26 reviews

Work Life Balance

2.3

Compensation

4.2

Culture

2.8

Career

3.1

Management

2.1

45%

Recommend to a Friend

Pros

Excellent compensation and benefits

Smart and talented colleagues

Fast-paced and challenging work environment

Cons

Frequent layoffs and job insecurity

Poor leadership and management accountability

High stress and competitive work environment

Salary Ranges

40,175 data points

Mid/L4

Mid/L4 · Data Scientist

3,113 reports

$284,667

total / year

Base

$179,458

Stock

$79,981

Bonus

$25,228

$193,897

$434,902

Interview Experience

6 interviews

Difficulty

4.2

/ 5

Duration

21-35 weeks

Offer Rate

17%

Experience

Positive 17%

Neutral 17%

Negative 66%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Coding Interviews

6

System Design Interview

7

Behavioral Interview

8

Final Loop/Hiring Manager Round

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Live Coding