Marketing Science Consultant

📌 Core Information

🔹 Job Title: Marketing Science Consultant

🔹 Company: Meta

🔹 Location: Austin, TX (with options for Menlo Park, CA; New York, NY; San Francisco, CA; Chicago, IL)

🔹 Job Type: Full-time

🔹 Category: Marketing

🔹 Date Posted: April 22, 2025

🔹 Experience Level: 5-10 years

🔹 Remote Status: On-site (with potential hybrid options)

🚀 Job Overview

Key aspects of this role include:

• Designing proactive programs and treatments to support global small businesses' growth on Meta's platforms
• Collaborating with cross-functional teams to drive direct impact on small business marketing strategy
• Communicating complex concepts and data-driven insights to stakeholders
• Building scalable processes for ad-effectiveness research initiatives
• Advocating for small businesses within research and product teams

ASSUMPTION: This role requires a high level of analytical and quantitative skills, with a focus on digital advertising effectiveness and research methods. It also demands strong communication skills to work effectively with diverse teams and stakeholders.

📋 Key Responsibilities

✅ Design and execute research & analytics initiatives or go-to-market strategies to help 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 a clear understanding of how Marketing Science can help small business segments grow

✅ Work closely with sales, product, and other cross-functional teams 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 solutions are designed with businesses of all shapes and sizes in mind

ASSUMPTION: The role involves a mix of independent research, cross-functional collaboration, and stakeholder communication, requiring strong project management and interpersonal skills.

🎯 Required Qualifications

Education: Bachelor's degree in a directly related field, or equivalent practical experience

Experience: 5+ years of experience in a quantitative field, such as consulting, market research, or media research

Required Skills:

• Proficient in quantitative analysis, data extraction, and manipulation using tools like SQL, R, SPSS, SAS, Hive, etc.
• Strong communication skills, with the ability to explain complex concepts to non-technical audiences
• Experience independently scoping and executing research projects with clients or cross-functional stakeholders
• Applied research experience in areas such as media consumption, consumer behavior, or marketing effectiveness
• Knowledge of digital advertising measurement methods and technologies
• Understanding of current media landscape and challenges small business advertisers face

Preferred Skills:

• Experience working with structured and unstructured datasets
• Knowledge of sales team dynamics and structure

ASSUMPTION: Given the role's focus on data-driven decision making and cross-functional collaboration, strong analytical and communication skills are essential. Experience with large datasets and relevant tools is crucial for success in this role.

💰 Compensation & Benefits

Salary Range: $120,000 - $180,000 per year (based on industry standards for a Marketing Science Consultant with 5-10 years of experience in the Austin, TX area)

Benefits:

• Comprehensive health benefits (medical, dental, vision)
• 401(k) matching
• Generous time off (vacation, sick, and holidays)
• Parental leave
• Employee stock purchase plan
• Professional development opportunities

Working Hours: Full-time position, typically 9:00 AM - 5:00 PM CST, with flexibility for hybrid work arrangements

ASSUMPTION: The salary range is an estimate based on industry standards for the role, experience level, and location. Actual compensation may vary based on factors such as skills, experience, and internal equity.

📌 Applicant Insights

🔍 Company Context

Industry: Meta operates in the technology industry, specifically focusing on social media, connectivity, and virtual reality. The company is a leader in its field, with a significant impact on global communication and digital advertising.

Company Size: With over 10,000 employees, Meta is a large organization that offers numerous opportunities for growth and collaboration. Working at Meta means joining a diverse and innovative team dedicated to connecting people and building the future of technology.

Founded: Meta was founded in 2004 as Facebook, Inc., and has since grown into a multinational corporation with a wide range of products and services.

Company Description:

• Meta's mission is to build the future of human connection and the technology that makes it possible.
• The company's technologies help people connect, find communities, and grow businesses through platforms like Facebook, Instagram, WhatsApp, and Messenger.
• Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

Company Specialties:

• Connectivity
• Artificial Intelligence
• Virtual Reality
• Machine Learning
• Social Media
• Augmented Reality
• Marketing Science
• Mobile Connectivity
• Open Compute
• Metaverse

Company Website: Meta Careers

ASSUMPTION: Working at Meta offers the opportunity to collaborate with talented professionals, contribute to cutting-edge technology, and make a global impact on human connection.

📊 Role Analysis

Career Level: This role is suitable for experienced professionals seeking to apply their quantitative and analytical skills in a dynamic, cross-functional environment. It offers opportunities for growth and advancement within the Marketing Science team and Meta as a whole.

Reporting Structure: The Marketing Science Consultant will report to the Marketing Science Manager and work closely with various cross-functional teams, including sales, product, and other research teams.

Work Arrangement: This role is primarily on-site, with potential hybrid work arrangements depending on the specific location and team needs.

Growth Opportunities:

• Expanding expertise in digital advertising, marketing effectiveness, and consumer behavior
• Developing leadership and management skills through cross-functional collaboration and mentoring opportunities
• Gaining experience in global marketing strategy and small business growth

ASSUMPTION: This role provides ample opportunities for professional growth and development, both within the Marketing Science team and across Meta's diverse product offerings.

🌍 Location & Work Environment

Office Type: Meta's offices are designed to foster collaboration, creativity, and innovation, with open workspaces, meeting rooms, and recreational areas.

Office Location(s): Austin, TX (with options for Menlo Park, CA; New York, NY; San Francisco, CA; Chicago, IL)

Geographic Context:

• Austin, TX: Known for its vibrant music scene, tech industry, and outdoor activities. It offers a high quality of life with a relatively low cost of living compared to other major US cities.
• Menlo Park, CA: Located in the heart of Silicon Valley, this office offers proximity to tech industry hubs and a diverse cultural scene.
• New York, NY: A global financial and cultural center, this office provides opportunities to work with major advertisers and influencers in the marketing industry.
• San Francisco, CA: Known for its tech industry, diverse culture, and beautiful landscapes, this office offers a dynamic work environment in one of the world's most innovative cities.
• Chicago, IL: A major US city with a strong business and cultural scene, this office provides opportunities to work with a wide range of clients and partners.

Work Schedule: Full-time, typically 9:00 AM - 5:00 PM local time, with flexibility for hybrid work arrangements

ASSUMPTION: Working in one of Meta's offices offers a dynamic and collaborative work environment, with opportunities to engage with diverse teams and stakeholders.

💼 Interview & Application Insights

Typical Process:

• Online application and resume screening
• Phone or video screen with a recruiter
• Technical interview with a team member or manager
• On-site or virtual final-round interview with cross-functional stakeholders

Key Assessment Areas:

• Quantitative and analytical skills
• Communication and presentation skills
• Problem-solving and critical thinking
• Cross-functional collaboration and stakeholder management
• Cultural fit and alignment with Meta's values

Application Tips:

• Highlight relevant experience with large datasets, digital advertising, and marketing research
• Tailor your resume and cover letter to emphasize skills and experiences that match the required qualifications
• Prepare for behavioral and situational interview questions that assess your problem-solving, communication, and collaboration skills

ATS Keywords: Marketing Science, Digital Advertising, Consumer Behavior, Quantitative Analysis, Data Extraction, SQL, R, SPSS, SAS, Hive, Cross-Functional Collaboration, Stakeholder Management, Small Business Growth, Marketing Effectiveness

ASSUMPTION: The application process for this role is competitive, and candidates should be prepared to demonstrate their quantitative skills, communication abilities, and cultural fit with Meta's values.

🛠️ Tools & Technologies

• SQL
• R, SPSS, SAS
• Hive
• Excel
• PowerPoint
• Google Workspace (Gmail, Google Docs, Sheets, Slides)
• Meta's internal tools and platforms

ASSUMPTION: Familiarity with relevant tools and technologies is essential for success in this role, and candidates should be prepared to demonstrate their proficiency in using these tools.

👔 Cultural Fit Considerations

Company Values:

• Give People the Power to Build Community and Bring the World Closer Together
• Focus on Impact and Results
• Be Bold, Not Brash
• Be Both Inventive and Resourceful
• Integrity is Our Operating System

Work Style:

• Collaborative and cross-functional
• Data-driven and analytical
• Adaptable and innovative
• Results-oriented and focused on impact
• Transparent and open to feedback

Self-Assessment Questions:

• Do you thrive in a collaborative, cross-functional environment?
• Are you comfortable working with large datasets and using relevant tools to extract and manipulate data?
• Can you effectively communicate complex concepts to non-technical stakeholders?
• Do you have a strong desire to understand and advocate for small businesses?
• Are you adaptable and open to feedback, with a focus on continuous learning and improvement?

ASSUMPTION: Candidates should assess their alignment with Meta's values and work style to ensure a strong cultural fit and successful integration into the team.

⚠️ Potential Challenges

• Working with large, complex datasets may require significant time and effort to clean, analyze, and interpret
• Collaborating with cross-functional teams may involve navigating different priorities, perspectives, and work styles
• Balancing multiple projects and priorities may require strong time management and organizational skills
• Keeping up with the latest trends and developments in digital advertising and marketing research may demand continuous learning and professional development

ASSUMPTION: Addressing these challenges requires strong problem-solving skills, adaptability, and a commitment to continuous learning and improvement.

📈 Similar Roles Comparison

• Compared to other marketing science roles, this position places a stronger emphasis on small business growth and global marketing strategy
• Industry-specific context: The digital advertising landscape is rapidly evolving, with new platforms, technologies, and best practices emerging regularly
• Career path comparison: This role offers opportunities for growth and advancement within the Marketing Science team and across Meta's diverse product offerings

ASSUMPTION: Understanding the unique aspects of this role and its industry context is essential for candidates to assess their fit and potential career growth opportunities.

📝 Sample Projects

• Developing and executing a research project to understand the impact of different advertising channels on small business growth
• Analyzing consumer behavior data to identify trends and opportunities for targeted marketing campaigns
• Collaborating with cross-functional teams to design and implement a go-to-market strategy for a new advertising product or feature

ASSUMPTION: These sample projects illustrate the types of initiatives and collaborations that Marketing Science Consultants may engage in to drive small business growth and marketing strategy.

❓ Key Questions to Ask During Interview

• Can you describe the team structure and dynamics within the Marketing Science team and across Meta?
• How does this role contribute to Meta's overall mission and strategy for small business growth?
• What opportunities are there for professional growth and development within the Marketing Science team and across Meta?
• How does Meta support work-life balance and employee well-being, particularly for employees in this role?
• What are the most challenging aspects of this role, and how can I best prepare to address them?

ASSUMPTION: Asking thoughtful questions during the interview process demonstrates your interest in the role and provides valuable insights into the work environment and company culture.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through this link
• Tailor your resume and cover letter to highlight your relevant experience with large datasets, digital advertising, and marketing research
• Prepare for behavioral and situational interview questions that assess your problem-solving, communication, and collaboration skills
• Research Meta's company values and be prepared to discuss how your personal values align with theirs
• Follow up with the recruiter after your interview to express your interest in the role and ask any remaining questions

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.