Marketing Mix Modeling (MMM) Specialist

📌 Core Information

🔹 Job Title: Marketing Mix Modeling (MMM) Specialist

🔹 Company: Weekday AI

🔹 Location: Bengaluru, Karnataka, India

🔹 Job Type: Full-time

🔹 Category: Marketing

🔹 Date Posted: July 11, 2025

🔹 Experience Level: 5-10 years

🔹 Remote Status: On-site

🚀 Job Overview

Key aspects of this role include:

• Developing and implementing Marketing Mix Models (MMM) to optimize marketing performance
• Generating actionable insights to inform strategic and tactical decision-making
• Collaborating with stakeholders to align models with business objectives and KPIs
• Applying advanced statistical techniques and optimization methods
• Communicating complex modeling results to both technical and non-technical stakeholders

ASSUMPTION: This role requires a strong analytical background and experience in marketing analytics to succeed.

📋 Key Responsibilities

✅ Develop and implement both short-term and long-term Marketing Mix Models (MMM) to assess and optimize marketing performance

✅ Generate actionable insights from MMM analyses to inform strategic and tactical decision-making

✅ Collaborate with stakeholders to align models with business objectives and key performance indicators (KPIs)

✅ Utilize advanced statistical techniques to interpret the impact of various marketing activities

✅ Apply optimization methods to support media mix and budget allocation strategies

✅ Communicate complex modeling results in a clear and concise manner to both technical and non-technical stakeholders

ASSUMPTION: This role requires strong analytical and problem-solving skills, as well as excellent communication skills to effectively collaborate with stakeholders and convey complex findings.

🎯 Required Qualifications

Education: Bachelor's degree in Statistics, Mathematics, Economics, or a related field (Master's degree preferred)

Experience: 5-8 years of hands-on experience in Marketing Mix Modeling with a strong track record of delivering business impact

Required Skills:

• Proficient in Python for data processing, statistical modeling, and visualization
• Strong understanding of statistical modeling techniques and diagnostics
• Experience with media planning, campaign analytics, and business KPIs
• Familiarity with AI/ML concepts as applied to marketing analytics (a plus)
• Strong analytical and problem-solving skills with excellent verbal and written communication

ASSUMPTION: This role requires a deep understanding of statistical modeling and data analysis, as well as experience in marketing analytics to be successful.

💰 Compensation & Benefits

Salary Range: INR 15-20 LPA (Based on experience and industry standards for the role and location)

Benefits:

• Health insurance
• Retirement savings plan
• Paid time off
• Professional development opportunities

Working Hours: Full-time (40 hours/week) with flexible working hours

ASSUMPTION: The salary range is estimated based on industry standards for the role, experience level, and location. Actual compensation may vary based on the candidate's qualifications and the company's internal policies.

📌 Applicant Insights

🔍 Company Context

Industry: Technology, Information, and Internet

Company Size: 11-50 employees (Small to mid-sized company, offering a close-knit work environment with opportunities for growth)

Founded: 2022 (Relatively new company with a startup-like culture)

Company Description:

• Weekday AI is a YC-backed recruitment startup that curates top jobs from premium YC and VC-backed startups
• Their mission is to provide job seekers with hand-curated, high-quality job opportunities
• Their focus is on technology, information, and internet-related roles

Company Specialties:

• Recruitment
• Job curation
• Startup and tech industry focus

Company Website: http://jobs.weekday.works

ASSUMPTION: Weekday AI is a growing startup with a focus on curating high-quality job opportunities in the tech industry. Their small to mid-sized team offers a close-knit work environment with opportunities for growth and impact.

📊 Role Analysis

Career Level: Mid-level to senior (Based on required experience and responsibilities)

Reporting Structure: This role may report to the Head of Marketing or a similar position, depending on the company's organizational structure

Work Arrangement: On-site (Full-time with flexible working hours)

Growth Opportunities:

• Potential to take on more responsibilities and grow within the marketing team
• Opportunities to work on diverse projects and collaborate with various teams
• Chance to contribute to the company's growth and success in the competitive tech industry

ASSUMPTION: This role offers growth opportunities within the marketing team and the chance to make a significant impact on the company's success in the competitive tech industry.

🌍 Location & Work Environment

Office Type: On-site (Company's headquarters is in Bengaluru, Karnataka, India)

Office Location(s): Bengaluru, Karnataka, India

Geographic Context:

• Bengaluru is the capital of Karnataka and the third-largest city in India
• It is known for its thriving tech industry and startup ecosystem
• The city offers a mix of traditional and modern culture, with numerous historical sites, parks, and entertainment options

Work Schedule: Full-time (40 hours/week) with flexible working hours

ASSUMPTION: The on-site work environment in Bengaluru offers a vibrant and dynamic atmosphere, with numerous opportunities for professional growth and networking within the tech industry.

💼 Interview & Application Insights

Typical Process:

• Online application submission
• Phone or video screening
• Technical assessment ( statistical modeling or data analysis task)
• On-site or video interview with the hiring manager and/or team members
• Final decision and offer

Key Assessment Areas:

• Statistical modeling and data analysis skills
• Problem-solving and critical thinking
• Communication and presentation skills
• Cultural fit and team dynamics

Application Tips:

• Highlight relevant experience and achievements in marketing analytics and statistical modeling
• Tailor your resume and cover letter to emphasize skills and experiences that match the required qualifications
• Prepare for the technical assessment by brushing up on your statistical modeling and data analysis skills

ATS Keywords: Marketing Mix Modeling, MMM, Statistical Modeling, Python, Data Processing, Campaign Analytics, Media Planning, Business KPIs, Analytical Skills, Problem-Solving Skills, Communication Skills

ASSUMPTION: The application process for this role may involve a technical assessment to evaluate the candidate's statistical modeling and data analysis skills. Strong communication and presentation skills will also be crucial for success in this role.

🛠️ Tools & Technologies

• Python (for data processing, statistical modeling, and visualization)
• Statistical modeling software (e.g., R, SAS, SPSS)
• Data visualization tools (e.g., Tableau, Power BI)
• Marketing analytics platforms (e.g., Google Analytics, Adobe Analytics)

ASSUMPTION: The required tools and technologies for this role are primarily focused on data processing, statistical modeling, and data visualization. Familiarity with marketing analytics platforms may also be beneficial.

👔 Cultural Fit Considerations

Company Values:

• Curated: We handpick the best jobs for our candidates
• Quality: We focus on quality over quantity
• Integrity: We maintain transparency and honesty in our processes

Work Style:

• Collaborative: We work closely with our candidates and clients to find the best fit
• Adaptable: We are open to feedback and continuously improve our processes
• Data-driven: We rely on data and analytics to make informed decisions

Self-Assessment Questions:

• Do you share our commitment to quality and integrity in the recruitment process?
• Are you comfortable working in a collaborative and adaptable environment?
• Do you have strong analytical and problem-solving skills, with a data-driven approach to decision-making?

ASSUMPTION: Weekday AI values candidates who are committed to quality, integrity, and a data-driven approach to decision-making. Strong analytical and problem-solving skills, as well as the ability to work collaboratively, are essential for success in this role.

⚠️ Potential Challenges

• Working with large and complex datasets may present technical challenges
• Communicating complex modeling results to non-technical stakeholders may require strong presentation skills
• Keeping up with the latest trends and developments in marketing analytics and statistical modeling may require continuous learning
• Balancing short-term and long-term marketing objectives may present strategic challenges

ASSUMPTION: This role may present technical, communication, and strategic challenges that require strong analytical, problem-solving, and presentation skills to overcome.

📈 Similar Roles Comparison

• This role differs from other marketing analytics roles in its focus on statistical modeling and optimization techniques
• In the tech industry, this role is essential for data-driven decision-making and performance optimization
• Career progression may involve moving into a senior marketing analytics or data science role, or specializing in a specific marketing channel or industry vertical

ASSUMPTION: This role is unique in its focus on statistical modeling and optimization techniques, making it an attractive opportunity for marketing analytics professionals looking to specialize in this area.

📝 Sample Projects

• Developing a marketing mix model for a retail client to optimize their advertising spend across multiple channels
• Analyzing customer data to identify segments with high lifetime value and optimizing marketing strategies to target these segments
• Evaluating the impact of a new marketing campaign on sales performance using a difference-in-differences approach

ASSUMPTION: These sample projects illustrate the types of marketing analytics and statistical modeling tasks that may be required in this role, demonstrating the importance of strong analytical and problem-solving skills.

❓ Key Questions to Ask During Interview

• Can you describe the team structure and how this role fits within the organization?
• What are the most challenging aspects of this role, and how have previous incumbents succeeded in overcoming them?
• How does the company support the professional development of its employees, particularly in the area of marketing analytics and statistical modeling?
• What are the key performance indicators (KPIs) for this role, and how will my success be measured?
• How does the company approach work-life balance, and what flexibility is available for employees in this role?

ASSUMPTION: These key questions will help applicants better understand the role, the team, and the company culture, enabling them to make an informed decision about whether this opportunity is the right fit for them.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through http://jobs.weekday.works
• Tailor your resume and cover letter to highlight your relevant experience and skills in marketing analytics and statistical modeling
• Prepare for the technical assessment by brushing up on your statistical modeling and data analysis skills
• Follow up with the hiring manager one week after submitting your application to express your interest in the role

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