Lead D&T Data Scientist - Marketing Measurement - Remote Eligible
General Mills, Inc, Minneapolis, MN, United States
Do you love using data and causal methods to shape real marketing decisions and budgets? As a
Lead Data Scientist - Marketing Measurement
at General Mills, you'll use advanced
statistics, econometrics, and machine learning
to measure what truly drives growth and to optimize how we invest our marketing dollars across channels.
You will partner closely with marketing, and media teams to build and evolve our
Marketing Mix Models (MMM)
and related measurement frameworks – translating complex insights into clear recommendations that influence brand and portfolio strategy. To make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time. You will play a critical role in that mission.
KEY ACCOUNTABILITIES Measurement & Modeling
Develop, validate, and maintain robust
Marketing Mix Models (MMM)
and related marketing effectiveness models to quantify the impact of media and non-media drivers on business outcomes.
Design and implement
causal measurement strategies , including approaches such as
Difference-in-Differences, Regression Discontinuity, and causal ML , to estimate incremental impact.
Conduct in-depth
statistical and econometric analysis
to measure marketing effectiveness, forecast future performance, and inform investment and scenario planning.
Experimentation & Optimization
Design, recommend, and execute
statistically rigorous A/B and multivariate tests
("Test & Measurement") for marketing campaigns.
Recommend
optimal budget allocation and channel mix strategies
based on model outputs and experiment results.
Collaborate with machine learning engineering and data engineering to ensure models are
production-ready, monitored, and continuously improved .
Stakeholder Influence
Translate complex model insights into
clear, actionable recommendations
for diverse stakeholders, including marketing, media, and senior leadership.
Partner with business and product owners to
frame ambiguous problems , shape learning agendas, and prioritize high-impact measurement initiatives.
Provide
thought leadership
on marketing effectiveness and help shape how General Mills measures and learns from its marketing investments.
Technical & Team Leadership
Provide
data science leadership
within a product/team context, including roadmap input, technical standards, and best practices.
Coach and mentor junior data scientists , providing guidance on solution design, methods, and domain-specific techniques.
Contribute to the broader
data science community
at General Mills through knowledge sharing, documentation, and collaboration.
MINIMUM QUALIFICATIONS Education & Experience
One of the following:
Graduate degree (Master's or PhD)
in Mathematics, Statistics, Data Science, Operations Research, Econometrics, Applied Economics, Computer Science, or a related quantitative field with
5+ years
of professional experience as a hands‑on coding Data Scientist, or
Bachelor's degree
in a related quantitative field with
7+ years
of professional experience as a hands‑on coding Data Scientist.
Substantial, real‑world experience with Marketing Mix Modeling:
Hands‑on responsibility for
building, refining, or maintaining MMM
(or very closely related marketing effectiveness models) that have been used to guide
budget allocation or channel strategy .
Technical Expertise
Expert‑level programming
in Python and SQL, including demonstrated experience working with large, complex datasets and writing advanced SQL queries.
Deep understanding of causal modeling principles
(e.g., DAG design, assumptions and falsification, Difference‑in‑Differences, Regression Discontinuity) and regression modeling (e.g., panel data, time series, regularized regression such as ridge).
Experience with
Bayesian modeling
(e.g., PyMC) and MMM / marketing effectiveness frameworks (e.g., PyMC‑based MMM, Meridian, Robyn, or similar).
Familiarity with modern machine learning methods, such as
Gradient Boosting / XGBoost , and how to integrate these into broader modeling solutions.
Experience working in cloud‑based data and AI environments.
Business & Communication
Proven track record of influencing marketing and business decisions using MMM and other measurement approaches, including surfacing insights and tradeoffs to senior stakeholders.
Ability to translate complex analytical and statistical concepts into
clear narratives, visualizations, and recommendations
for non‑technical audiences.
Highly
curious, adaptable, and comfortable working independently on complex, ambiguous problems, with a strong bias for action
and effective prioritization and time management.
Preferred Qualifications
Experience in marketing analytics agencies, consulting firms, or in‑house media/marketing effectiveness teams.
Experience with MLOps practices for analytical models (versioning, monitoring, performance tracking) is a plus.
Additional Considerations
The preferred location for this role is Minneapolis, MN; however remote work‑at‑home applications within the United States will be considered.
Relocation or international remote working arrangements (outside of the US) will not be considered.
Applicants for this position must be currently authorized to work in the United States on a full‑time basis.
General Mills will not sponsor applicants for this position for work visas.
Salary Range The salary range for this position is $126,700.00 - $211,200.00 per year. At General Mills we strive for each employee's pay at any point in their career to reflect their experiences, performance and skills for their current role. The salary range for this role represents the numerous factors considered in the hiring decisions including, but not limited to, educations, skills, work experience, certifications, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range. Beyond base salary, General Mills offers a competitive Total Rewards package focusing on your overall well‑being. We are proud to offer a foundation of health benefits, retirement and financial wellbeing, time off programs, wellbeing support and perks. Benefits may vary by role, country, region, union status, and other employment status factors. You may also be eligible to participate in an annual incentive program. An incentive award, if any, depends on various factors, including individual and organizational performance.
Reasonable Accommodation Request If you need to request an accommodation during the application or hiring process, please fill out our online accommodations request form by following this link: Accommodations Request.
#J-18808-Ljbffr
Lead Data Scientist - Marketing Measurement
at General Mills, you'll use advanced
statistics, econometrics, and machine learning
to measure what truly drives growth and to optimize how we invest our marketing dollars across channels.
You will partner closely with marketing, and media teams to build and evolve our
Marketing Mix Models (MMM)
and related measurement frameworks – translating complex insights into clear recommendations that influence brand and portfolio strategy. To make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time. You will play a critical role in that mission.
KEY ACCOUNTABILITIES Measurement & Modeling
Develop, validate, and maintain robust
Marketing Mix Models (MMM)
and related marketing effectiveness models to quantify the impact of media and non-media drivers on business outcomes.
Design and implement
causal measurement strategies , including approaches such as
Difference-in-Differences, Regression Discontinuity, and causal ML , to estimate incremental impact.
Conduct in-depth
statistical and econometric analysis
to measure marketing effectiveness, forecast future performance, and inform investment and scenario planning.
Experimentation & Optimization
Design, recommend, and execute
statistically rigorous A/B and multivariate tests
("Test & Measurement") for marketing campaigns.
Recommend
optimal budget allocation and channel mix strategies
based on model outputs and experiment results.
Collaborate with machine learning engineering and data engineering to ensure models are
production-ready, monitored, and continuously improved .
Stakeholder Influence
Translate complex model insights into
clear, actionable recommendations
for diverse stakeholders, including marketing, media, and senior leadership.
Partner with business and product owners to
frame ambiguous problems , shape learning agendas, and prioritize high-impact measurement initiatives.
Provide
thought leadership
on marketing effectiveness and help shape how General Mills measures and learns from its marketing investments.
Technical & Team Leadership
Provide
data science leadership
within a product/team context, including roadmap input, technical standards, and best practices.
Coach and mentor junior data scientists , providing guidance on solution design, methods, and domain-specific techniques.
Contribute to the broader
data science community
at General Mills through knowledge sharing, documentation, and collaboration.
MINIMUM QUALIFICATIONS Education & Experience
One of the following:
Graduate degree (Master's or PhD)
in Mathematics, Statistics, Data Science, Operations Research, Econometrics, Applied Economics, Computer Science, or a related quantitative field with
5+ years
of professional experience as a hands‑on coding Data Scientist, or
Bachelor's degree
in a related quantitative field with
7+ years
of professional experience as a hands‑on coding Data Scientist.
Substantial, real‑world experience with Marketing Mix Modeling:
Hands‑on responsibility for
building, refining, or maintaining MMM
(or very closely related marketing effectiveness models) that have been used to guide
budget allocation or channel strategy .
Technical Expertise
Expert‑level programming
in Python and SQL, including demonstrated experience working with large, complex datasets and writing advanced SQL queries.
Deep understanding of causal modeling principles
(e.g., DAG design, assumptions and falsification, Difference‑in‑Differences, Regression Discontinuity) and regression modeling (e.g., panel data, time series, regularized regression such as ridge).
Experience with
Bayesian modeling
(e.g., PyMC) and MMM / marketing effectiveness frameworks (e.g., PyMC‑based MMM, Meridian, Robyn, or similar).
Familiarity with modern machine learning methods, such as
Gradient Boosting / XGBoost , and how to integrate these into broader modeling solutions.
Experience working in cloud‑based data and AI environments.
Business & Communication
Proven track record of influencing marketing and business decisions using MMM and other measurement approaches, including surfacing insights and tradeoffs to senior stakeholders.
Ability to translate complex analytical and statistical concepts into
clear narratives, visualizations, and recommendations
for non‑technical audiences.
Highly
curious, adaptable, and comfortable working independently on complex, ambiguous problems, with a strong bias for action
and effective prioritization and time management.
Preferred Qualifications
Experience in marketing analytics agencies, consulting firms, or in‑house media/marketing effectiveness teams.
Experience with MLOps practices for analytical models (versioning, monitoring, performance tracking) is a plus.
Additional Considerations
The preferred location for this role is Minneapolis, MN; however remote work‑at‑home applications within the United States will be considered.
Relocation or international remote working arrangements (outside of the US) will not be considered.
Applicants for this position must be currently authorized to work in the United States on a full‑time basis.
General Mills will not sponsor applicants for this position for work visas.
Salary Range The salary range for this position is $126,700.00 - $211,200.00 per year. At General Mills we strive for each employee's pay at any point in their career to reflect their experiences, performance and skills for their current role. The salary range for this role represents the numerous factors considered in the hiring decisions including, but not limited to, educations, skills, work experience, certifications, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range. Beyond base salary, General Mills offers a competitive Total Rewards package focusing on your overall well‑being. We are proud to offer a foundation of health benefits, retirement and financial wellbeing, time off programs, wellbeing support and perks. Benefits may vary by role, country, region, union status, and other employment status factors. You may also be eligible to participate in an annual incentive program. An incentive award, if any, depends on various factors, including individual and organizational performance.
Reasonable Accommodation Request If you need to request an accommodation during the application or hiring process, please fill out our online accommodations request form by following this link: Accommodations Request.
#J-18808-Ljbffr