Jobs
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
PublicA 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
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