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Mmm Jobs (NOW HIRING)

Expert-level understanding of Media Mix Modeling (MMM), Multi-Touch Attribution (MTA), and marketing measurement methodologies * Confident communicator (in writing and in person) with excellent ...

Oversee Marketing Mix Modeling (MMM) reporting and performance analysis to evaluate media effectiveness and investment efficiency. * Translate data and insights into actionable recommendations that ...

You'll play a key role in growing our Mining, Minerals and Metals (MMM) business by leading studies across a range of commodities, including base metals, precious metals and energy transition ...

Data & Software Engineer, EMRge MMM

Chicago, IL · On-site

$118K - $141K/yr

About Ovative Group: Ovative Group is an independent, full-funnel media, measurement, and creative firm. Leveraging our deep industry expertise, we help brands like Best Buy, Domino's, American Eagle ...

Role Summary URBN is hiring an Analyst, Marketing Mix with experience in Multi Touch Attribution (MTA) and Marketing Mix Models (MMM) to help better measure and optimize the effectiveness of our ...

Implement and oversee a robust balance of MMM, Multi-Touch Attribution (MTA), and Causal Inference, deploying experimentation and hold-out tests to validate marginal ROI. * Retail Media Strategy:

They should have a strong working knowledge of both brand and performance channels as well as measurement solutions like MMM, MTA, and incrementality testing. Key Responsibilities Brand and Retail ...

Supervisor, Analytics

El Segundo, CA · Hybrid

$90K - $100K/yr

Analyze campaign performance across attribution, brand lift, and MMM outputs * Translate data into actionable insights Partner & Measurement Support * Support coordination with measurement and data ...

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Mmm information

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$37K

$81.9K

$149.5K

How much do mmm jobs pay per year?

As of Aug 15, 2026, the average yearly pay for mmm in the United States is $81,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $93,500.00 per year, depending on experience, location, and employer.

What is the difference between Mmm vs Data Analyst?

AspectMmmData Analyst
Required CredentialsTypically requires a degree in marketing, communications, or related fieldsUsually requires a degree in statistics, mathematics, or computer science
Work EnvironmentPrimarily in marketing, advertising, or media agenciesOften in finance, healthcare, or tech companies
Employer & Industry UsageUsed in marketing campaigns, brand management, and media planningUsed for data interpretation, reporting, and business insights

The main difference between Mmm and Data Analyst lies in their focus areas. Mmm professionals typically work in marketing and media environments, focusing on campaign strategies and brand messaging. Data Analysts concentrate on analyzing data sets to inform business decisions across various industries. While both roles require analytical skills, their credentials, work settings, and industry applications differ significantly.

What is an mmm?

The term 'Mmm' does not refer to a specific or recognized job title in the current job market. It may be a typo or acronym that needs clarification. If you meant a different job title or have a specific industry in mind, please provide more details so that accurate information can be given.
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What cities are hiring for Mmm jobs?

Cities with the most Mmm job openings:

What states have the most Mmm jobs?

States with the most job openings for Mmm jobs include:

Infographic showing various Mmm job openings in the United States as of August 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 75% Physical, 9% Hybrid, and 16% Remote job distribution, with an average salary of $81,877 per year, or $39.4 per hour.

Senior Research Data Scientist, Meridian AI

Socket.dev

Manhattan, NY • On-site

$174 - $252/hr

Other

Posted 3 days ago

New


Job description

Minimum qualifications:
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  • 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
  • Experience with econometrics, machine learning and Bayesian statistics.
Preferred qualifications:
  • 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
About the job:

As a part of the Meridian AI team, you will focus on revolutionizing Marketing Mix Modeling (MMM) by building an autonomous, agent-based AI product that automates the traditionally complex, high-friction model-building life-cycle.

Your mission is to democratize access to advanced media effectiveness measurement for Google's advertisers and agencies while also drastically improving modeling productivity and quality.

In this role, you will have the unique opportunity to bridge the gap between traditional data science and the next‑generation AI. You will combine your deep econometric and statistical expertise with cutting‑edge agentic technology to build Subject Matter Expert (SME) agents from the ground up, effectively encoding human analytical intuition into an autonomous system that scales expert‑level measurement globally.

You will bring scientific and statistical methods to bear on the challenges of advertising product creation, development and improvement with a deep, data‑driven appreciation for the behaviors of the end user and the ecosystem. As a Data Scientist on the Meridian AI team, you will shape the strategic technical direction of Google’s next‑generation marketing analytics. In this pioneering role, you will act as the crucial bridge between classical data science and frontier AI.

Your primary focus will be leading the research and development of advanced Marketing Mix Modeling (MMM) methodologies and embedding rigorous Bayesian statistics, causal inference, and machine learning into autonomous AI agents. By encoding human econometric reasoning into Large Language Model (LLM)-driven workflows, you will build intelligent systems capable of solving highly complex measurement challenges from the ground up, ensuring Google remains the undisputed industry leader in automated, scalable marketing measurement.

Individual pay is determined by factors including job‑related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:
  • Lead the design and development of innovative measurement methodologies and products, setting the strategic technical direction for Meridian and AI development.
  • Serve as the core bridge between classical data science and frontier AI by embedding rigorous Bayesian statistical frameworks into autonomous AI agents, encoding econometric reasoning, heuristic logic, and human analytical intuition into LLM-driven workflows from the ground up.
  • Pioneer advanced quantitative methods by integrating cutting-edge causal inference, statistical modeling, and machine learning techniques to solve highly ambiguous and complex measurement challenges.
  • Drive the research and development of next‑generation Marketing Mix Modeling (MMM) methodologies, setting the technical strategy for integrating advanced econometric models into the Meridian AI product suite, ensuring Google remains at the forefront of marketing analytics.
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