Energy Jobline ZR
Marketing Data Scientist - MMM Specialist in Dallas
Energy Jobline ZR, Dallas, Texas, United States, 75215
Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.
We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.
Job DescriptionJob Description
Marketing Data Scientist - MMM Specialist (Remote)
Location:
Remote (Based in Dallas, TX)
Pay Range:
$73-$83/hr
Duration:
3-month Project Assignment
Weekly Pay and Benefits!
As humans, there are few things more exciting than meeting someone new. Our client is inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, their reach is expanding and rapidly growing. Our client is seeking an experienced Marketing Data Scientist with deep expertise in Media Mix Modeling (MMM) to join their marketing analytics team. The ideal candidate will have 3+ years of professional Python experience, hands-on experience with Google Meridian or similar MMM frameworks, and strong capabilities in MMM validation, anomaly detection, and results synthesis. This role will be instrumental in optimizing marketing spend allocation and measuring campaign effectiveness across multiple channels.
Responsibilities:
Develop and maintain sophisticated Media Mix Models using Google Meridian, Lightweight MMM, or similar frameworks, implementing advanced techniques including Bayesian statistical modeling, adstock transformation, saturation curves, and diminishing returns modeling
Design and execute MMM experiments and validation frameworks to measure incrementality, media effectiveness, and ensure model reliability through holdout tests, geo-experiments, sensitivity analysis, and automated performance monitoring
Build production-ready MMM systems using Python and modern data engineering practices, creating scalable, code-based solutions that integrate with existing marketing technology stacks and data warehouses
Implement comprehensive quality assurance processes including anomaly detection systems, robustness testing, and automated alerts to maintain data quality and model performance over time
Conduct scenario planning and budget optimization using MMM insights to drive strategic marketing investment decisions and resource allocation
Translate complex analytical findings into actionable business recommendations through compelling visualizations, executive dashboards, and strategic presentations to marketing teams and senior leadership
Synthesize results across multiple models and validation approaches to provide robust, data-driven recommendations for marketing strategy and budget allocation
Optimize model performance for computational efficiency and scalability while implementing version control and reproducible modeling workflows for enterprise-level deployment
Qualifications:
3+ years of professional Python experience with strong proficiency in data science libraries (NumPy, Pandas, SciPy, Scikit-learn) and SQL
2+ years of marketing analytics experience with strong understanding of digital marketing channels, campaign structures, media buying processes, and marketing data sources (ad platforms, CRM, sales data)
Must be able to pass Phyton assessment
Hands-on experience with Google Meridian MMM ( Media Mix Modeling) or other leading MMM frameworks (Lightweight MMM, Meta Robyn, PyMC-Marketing) including backend code-based MMM system development
Strong statistical and modeling expertise in Bayesian statistics, time series analysis, econometric modeling, and probabilistic programming frameworks (JAX, Numpyro, PyMC, Stan)
Deep MMM validation and quality assurance skills including holdout testing, incrementality measurement, model calibration, and anomaly detection for marketing data
Advanced analytical capabilities including results synthesis across multiple validation approaches, marketing attribution, causal inference methods, and experimental design (A/B testing, geo experiments)
Excellent communication and collaboration skills with ability to present complex statistical concepts to non-technical stakeholders and work cross-functionally with marketing, data engineering, and business intelligence teams
Qualifications:
Direct Google Meridian implementation experience and customization capabilities
Bachelors, Master's or PhD degree in Statistics, Data Science, Economics, Marketing Analytics, or related quantitative field with strong foundation in statistical modeling and experimental design
Experience with cloud platforms (GCP , AWS, Azure) for large-scale MMM deployment and real-time optimization systems
Background in econometrics, marketing science, or advertising research with publications or presentations on MMM methodologies
Knowledge of marketing experimentation platforms, incrementality testing tools, and data visualization platforms (Tableau, Looker, Plotly)
TCWGlobal is an equal opportunity employer. We do not discriminate based on , ethnicity, , , belief, or .
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.
Job DescriptionJob Description
Marketing Data Scientist - MMM Specialist (Remote)
Location:
Remote (Based in Dallas, TX)
Pay Range:
$73-$83/hr
Duration:
3-month Project Assignment
Weekly Pay and Benefits!
As humans, there are few things more exciting than meeting someone new. Our client is inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, their reach is expanding and rapidly growing. Our client is seeking an experienced Marketing Data Scientist with deep expertise in Media Mix Modeling (MMM) to join their marketing analytics team. The ideal candidate will have 3+ years of professional Python experience, hands-on experience with Google Meridian or similar MMM frameworks, and strong capabilities in MMM validation, anomaly detection, and results synthesis. This role will be instrumental in optimizing marketing spend allocation and measuring campaign effectiveness across multiple channels.
Responsibilities:
Develop and maintain sophisticated Media Mix Models using Google Meridian, Lightweight MMM, or similar frameworks, implementing advanced techniques including Bayesian statistical modeling, adstock transformation, saturation curves, and diminishing returns modeling
Design and execute MMM experiments and validation frameworks to measure incrementality, media effectiveness, and ensure model reliability through holdout tests, geo-experiments, sensitivity analysis, and automated performance monitoring
Build production-ready MMM systems using Python and modern data engineering practices, creating scalable, code-based solutions that integrate with existing marketing technology stacks and data warehouses
Implement comprehensive quality assurance processes including anomaly detection systems, robustness testing, and automated alerts to maintain data quality and model performance over time
Conduct scenario planning and budget optimization using MMM insights to drive strategic marketing investment decisions and resource allocation
Translate complex analytical findings into actionable business recommendations through compelling visualizations, executive dashboards, and strategic presentations to marketing teams and senior leadership
Synthesize results across multiple models and validation approaches to provide robust, data-driven recommendations for marketing strategy and budget allocation
Optimize model performance for computational efficiency and scalability while implementing version control and reproducible modeling workflows for enterprise-level deployment
Qualifications:
3+ years of professional Python experience with strong proficiency in data science libraries (NumPy, Pandas, SciPy, Scikit-learn) and SQL
2+ years of marketing analytics experience with strong understanding of digital marketing channels, campaign structures, media buying processes, and marketing data sources (ad platforms, CRM, sales data)
Must be able to pass Phyton assessment
Hands-on experience with Google Meridian MMM ( Media Mix Modeling) or other leading MMM frameworks (Lightweight MMM, Meta Robyn, PyMC-Marketing) including backend code-based MMM system development
Strong statistical and modeling expertise in Bayesian statistics, time series analysis, econometric modeling, and probabilistic programming frameworks (JAX, Numpyro, PyMC, Stan)
Deep MMM validation and quality assurance skills including holdout testing, incrementality measurement, model calibration, and anomaly detection for marketing data
Advanced analytical capabilities including results synthesis across multiple validation approaches, marketing attribution, causal inference methods, and experimental design (A/B testing, geo experiments)
Excellent communication and collaboration skills with ability to present complex statistical concepts to non-technical stakeholders and work cross-functionally with marketing, data engineering, and business intelligence teams
Qualifications:
Direct Google Meridian implementation experience and customization capabilities
Bachelors, Master's or PhD degree in Statistics, Data Science, Economics, Marketing Analytics, or related quantitative field with strong foundation in statistical modeling and experimental design
Experience with cloud platforms (GCP , AWS, Azure) for large-scale MMM deployment and real-time optimization systems
Background in econometrics, marketing science, or advertising research with publications or presentations on MMM methodologies
Knowledge of marketing experimentation platforms, incrementality testing tools, and data visualization platforms (Tableau, Looker, Plotly)
TCWGlobal is an equal opportunity employer. We do not discriminate based on , ethnicity, , , belief, or .
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.