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Marketing Science Consultant

Meta
Full-time
On-site
Austin, Texas, United States
🌐 Digital Marketing

πŸ“Œ Core Information

πŸ”Ή Job Title: Marketing Science Consultant

πŸ”Ή Company: Meta

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

πŸ”Ή Job Type: Full-time

πŸ”Ή Category: Marketing

πŸ”Ή Date Posted: April 22, 2025

πŸ”Ή Experience Level: 5-10 years

πŸ”Ή Remote Status: On-site (with potential for hybrid work)

πŸš€ Job Overview

Key aspects of this role include:

  • Designing proactive programs and treatments to support global small businesses growth using Meta's platforms
  • Collaborating with cross-functional teams to drive direct impact on small business marketing strategies
  • Advocating for small businesses with other research and product teams
  • Working with large datasets and using tools like SQL, R, SPSS, SAS, Hive, and more

ASSUMPTION: This role requires a high level of analytical thinking and quantitative skills, with a focus on driving value for small businesses through data-driven insights.

πŸ“‹ Key Responsibilities

βœ… Design proactive programs and treatments (research & analytics initiatives or other go to market strategies) that can help small businesses onboarding to advertising and grow

βœ… Drive advertiser adoption of marketing best practices and products to ensure successful onboarding to advertising

βœ… Identify research & analytics initiatives that create clear understanding of how Marketing Science can help small business segments grow

βœ… Work closely with sales, product, and other cross-functional teams to drive direct impact on small business marketing strategy

βœ… Communicate results and illustrate suggestions in creative ways to stakeholders and partners

βœ… Build processes that scale ad effectiveness research initiatives

βœ… 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

ASSUMPTION: This role involves a significant amount of independent work, requiring strong project management and communication skills to collaborate effectively with various teams.

🎯 Required Qualifications

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

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

Required Skills:

  • Quantitative Analysis
  • Market Research
  • Data Extraction
  • SQL
  • Communication
  • Research Project Management
  • Media Consumption
  • Consumer Behavior
  • Marketing Effectiveness
  • Digital Advertising Measurement
  • Statistical Software (R, SPSS, SAS)
  • Data Manipulation
  • Sales Dynamics
  • Media Landscape Understanding
  • Advertising Strategy
  • Analytical Thinking

Preferred Skills:

  • Experience with structured and unstructured data-sets
  • Knowledge of current media landscape and challenges small business advertisers face

ASSUMPTION: Candidates should have a strong background in quantitative analysis and market research, with a proven track record of driving impact through data-driven insights.

πŸ’° Compensation & Benefits

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

Benefits:

  • Health, dental, and vision insurance
  • 401(k) matching
  • Paid time off (vacation, sick, and holidays)
  • Parental leave
  • Employee stock purchase plan
  • Professional development opportunities

Working Hours: Full-time (40 hours per week), with potential for flexible hours and remote work options

ASSUMPTION: The salary range provided is an estimate based on industry standards and may vary depending on the candidate's experience and skills.

πŸ“Œ Applicant Insights

πŸ” Company Context

Industry: Meta operates in the technology industry, with a focus on social media, messaging, and virtual reality platforms

Company Size: Meta is a large company with over 10,000 employees, providing ample opportunities for growth and collaboration

Founded: Meta was founded in 2004 as Facebook, and has since grown to include several popular platforms and services

Company Description:

  • Meta's mission is to build the future of human connection and the technology that makes it possible
  • Its technologies help people connect, find communities, and grow businesses
  • Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality

Company Specialties:

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

Company Website: https://www.metacareers.com/

ASSUMPTION: Meta's large size and diverse range of products and services provide numerous opportunities for career growth and development.

πŸ“Š Role Analysis

Career Level: This role is at the mid-level, requiring a significant amount of experience and expertise in quantitative analysis and market research

Reporting Structure: The Marketing Science Consultant will report to the Marketing Science team and collaborate with various cross-functional teams

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

Growth Opportunities:

  • Potential to take on more responsibility and lead projects as experience and expertise grow
  • Opportunities to work on high-impact initiatives that drive value for small businesses
  • Chance to gain exposure to various teams and functions within Meta

ASSUMPTION: This role offers significant opportunities for growth and development, both within the Marketing Science team and across Meta's broader organization.

🌍 Location & Work Environment

Office Type: Meta's offices are modern and collaborative workspaces, designed to foster innovation and creativity

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 tech industry, live music scene, and outdoor activities
  • Menlo Park, CA: Located in the heart of Silicon Valley, offering easy access to tech industry hubs and outdoor recreation
  • New York, NY: A global financial and cultural center, with numerous opportunities for professional growth and networking
  • San Francisco, CA: Known for its diverse culture, tech industry, and natural beauty
  • Chicago, IL: A major hub for finance, technology, and culture, with a rich history and vibrant arts scene

Work Schedule: Full-time (40 hours per week), with potential for flexible hours and remote work options

ASSUMPTION: The location and work environment for this role will depend on the specific office chosen, with each offering unique benefits and opportunities.

πŸ’Ό Interview & Application Insights

Typical Process:

  • Phone or video screen
  • On-site or virtual interview with hiring manager and team members
  • Case study or project presentation
  • Final interview with senior leadership

Key Assessment Areas:

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

Application Tips:

  • Highlight relevant experience and skills, with a focus on quantitative analysis and market research
  • Tailor your resume and cover letter to emphasize your fit for this specific role and company
  • Prepare for behavioral and situational interview questions that assess your problem-solving and communication skills

ATS Keywords: Marketing Science, Consultant, Quantitative Analysis, Market Research, Data Extraction, SQL, Communication, Research Project Management, Media Consumption, Consumer Behavior, Marketing Effectiveness, Digital Advertising Measurement, Statistical Software, Data Manipulation, Sales Dynamics, Media Landscape Understanding, Advertising Strategy, Analytical Thinking

ASSUMPTION: The application process for this role may vary depending on the specific location and team, but will generally involve multiple interviews and assessments to evaluate the candidate's skills and cultural fit.

πŸ› οΈ Tools & Technologies

  • SQL
  • R
  • SPSS
  • SAS
  • Hive
  • Microsoft Office Suite
  • Google Workspace
  • Data visualization tools (e.g., Tableau, Power BI)

ASSUMPTION: The specific tools and technologies used in this role may vary depending on the team and project requirements.

πŸ‘” Cultural Fit Considerations

Company Values:

  • Move Fast
  • Focus on Impact
  • Be Bold
  • Be Inclusive
  • Build Social Value

Work Style:

  • Collaborative and cross-functional
  • Data-driven and analytical
  • Innovative and creative
  • Adaptable and flexible

Self-Assessment Questions:

  • How do you approach working with large datasets to uncover insights?
  • Can you provide an example of a time when you had to communicate complex concepts to non-technical stakeholders?
  • How do you balance moving quickly with ensuring the quality and accuracy of your work?

ASSUMPTION: Candidates should be able to demonstrate a strong fit with Meta's values and work style, with a focus on collaboration, innovation, and data-driven decision-making.

⚠️ Potential Challenges

  • Managing multiple projects and priorities simultaneously
  • Working with large and complex datasets to uncover meaningful insights
  • Communicating complex findings to non-technical stakeholders
  • Balancing the need for speed with the importance of thorough and accurate analysis

ASSUMPTION: This role may present challenges related to data management, communication, and balancing multiple priorities, but offers significant opportunities for growth and impact.

πŸ“ˆ Similar Roles Comparison

  • Compared to other marketing roles, this position places a greater emphasis on quantitative analysis and data-driven decision-making
  • Unlike some marketing roles, this position does not typically involve direct customer interaction or sales responsibilities
  • Career progression in this role may involve moving into more senior research or management positions within the Marketing Science team or related functions

ASSUMPTION: This role offers unique opportunities and challenges compared to other marketing positions, with a focus on data-driven insights and strategic decision-making.

πŸ“ Sample Projects

  • Developing a predictive model to identify small businesses most likely to succeed on Meta's advertising platforms
  • Conducting a market research study to understand the media consumption habits of small business owners
  • Analyzing advertising effectiveness data to optimize campaign performance and drive business growth

ASSUMPTION: The specific projects undertaken in this role will depend on the team's priorities and the evolving needs of Meta's small business advertising strategy.

❓ Key Questions to Ask During Interview

  • Can you describe a typical day or week in this role?
  • How does this role collaborate with other teams within Meta, such as sales and product?
  • What are the most challenging aspects of this role, and how can I best prepare to succeed in them?
  • How does this role contribute to Meta's overall mission and strategy?
  • What opportunities are there for growth and development within the Marketing Science team and across Meta?

ASSUMPTION: Candidates should use the interview process to gain a deeper understanding of the role's responsibilities, team dynamics, and growth opportunities.

πŸ“Œ 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 and skills, with a focus on quantitative analysis and market research
  • Prepare for behavioral and situational interview questions that assess your problem-solving and communication skills
  • Research Meta's company culture and values to demonstrate your fit and enthusiasm for the role
  • Follow up with the hiring manager or recruiter within one week of submitting your application to express your interest and reiterate your qualifications

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