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Marketing Science Consultant

Meta

Marketing Science Consultant

Meta

San Francisco, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$137,000 - $137,000

Benefits & Perks

Competitive salary and bonus

Development budget

Remote options

Stock options

Flexible PTO

Team offsites

Equity

Required Skills

HubSpot

Hootsuite

Marketo

AI is a Meta priority. Sales and Product teams are working on integrating automation through AI to provide guidance to our advertisers. This is a very complex and new area that requires close collaboration with the product developers to integrate our existing guidance systems to our new tools that is in alignment with our overall guidance unification strategy by bringing the unique perspective and needs of our advertisers. This individual is expected to understand our ad guidance and advertiser needs and help build the integration strategy for AI across our channels.

This role will be part of the Marketing Science team focusing on supporting our global small businesses by better understanding how these businesses can grow using our platforms through data and science.

The team is made up of highly quantitative measurement individuals with a broad set of backgrounds. This position is highly analytical with digital advertising effectiveness and research methods background along with understanding how things work.

The person in this role will be responsible for building strategies and proactive initiatives executed globally in partnership with our various channels. They will be responsible for identifying opportunities to develop and refine different treatments and supporting the go to market strategy for different initiatives focused on driving value for our advertisers. They will be working in a highly analytical team executing key advertising and measurement research projects intended to deliver strategies and insights that will help small businesses grow.

Marketing Science Consultant Responsibilities:

  • Design proactive programs and treatments (research & analytics initiatives or other go to market strategies) that can help the small businesses onboard to advertising and grow
  • Drive advertiser adoption of marketing best practices and products to ensure successful onboarding to advertising
  • Identify research & analytics initiatives that create clear understanding of how Marketing Science can help small business segments grow
  • Work closely with sales, product, and other cross-functionals to drive direct impact on small business marketing strategy
  • Communicate results and illustrate suggestions in creative ways to stakeholders and partners
  • Build processes that scale ad-effectiveness research initiatives
  • Advocate for small businesses with other research and product teams to ensure that solutions are designed with businesses of all shapes and sizes in mind

Minimum Qualifications:

  • Bachelor's degree in a directly related field, or equivalent practical experience
  • 5+ years experience in a quantitative field, such as consulting, market research, media research
  • Experience in working with large datasets and using SQL or similar tools for data extraction and manipulation
  • Experience communicating complex concepts to non-technical audiences
  • Direct experience scoping and executing research projects with clients and or cross-functional stakeholders
  • Experience in applied research with focus areas such as media consumption, consumer behavior or marketing effectiveness
  • Experience with digital advertising measurement methods and technologies

Preferred Qualifications:

  • Experience working with structured and unstructured data-sets, statistical software such as R, SPSS, SAS as well as data extraction tools such as Hive and/or SQL
  • Knowledge of dynamics and structure for sales teams
  • Understanding of current media landscape and challenges small business advertisers face

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.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

$137,000/year to $193,000/year + bonus + equity + benefits

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