reputed company D&T Data Scientist - Marketing Measurement - Remote Eligible

Job reputed company: Do you love using data and reputed company reputed company to shape reputed company marketing reputed company and budgets? As a reputed company Data Scientist – Marketing Measurement at reputed company, you’ll use advanced statistics, econometrics, and machine learning to measure what truly drives reputed company and to optimize how we invest our marketing dollars across channels. You will partner closely with marketing, and media teams to build and reputed company our Marketing Mix Models (MMM) and reputed company measurement frameworks—translating reputed company insights into reputed company recommendations that influence brand and portfolio reputed company. To reputed company the food people love, we need to reputed company reputed company 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 • reputed company, validate, and maintain robust Marketing Mix Models (MMM) and reputed company marketing effectiveness models to quantify the reputed company of media and non-media drivers on business reputed company. • Design and implement reputed company measurement strategies, including approaches such as Difference-in-Differences, Regression Discontinuity, and reputed company ML, to estimate incremental reputed company. • Conduct in-depth statistical and econometric analysis to measure marketing effectiveness, forecast reputed company 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 reputed company 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-reputed company, monitored, and continuously improved. Stakeholder Influence • Translate reputed company model insights into reputed company, actionable recommendations for diverse stakeholders, including marketing, media, and senior leadership. • Partner with business and product owners to reputed company ambiguous problems, shape learning agendas, and prioritize high-reputed company measurement initiatives. • reputed company thought leadership on marketing effectiveness and help shape how reputed company measures and learns from its marketing investments. Technical & Team Leadership • reputed company data science leadership reputed company a product/team context, including roadmap input, technical standards, and best practices. • reputed company and mentor junior data scientists, providing guidance on solution design, reputed company, and domain-specific techniques. • Contribute to the broader data science community at reputed company 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, reputed company Economics, Computer Science, or a reputed company quantitative field with 5+ years of reputed company experience as a hands-on coding Data Scientist, or • Bachelor’s degree in a reputed company quantitative field with 7+ years of reputed company experience as a hands-on coding Data Scientist. • Substantial, reputed company-world experience with Marketing Mix Modeling: • Hands-on responsibility for building, refining, or maintaining MMM (or reputed company closely reputed company marketing effectiveness models) that have been used to guide budget allocation or channel reputed company. Technical Expertise • Expert-level programming in Python and SQL, including demonstrated experience working with large, reputed company datasets and writing advanced SQL queries. • Deep understanding of reputed company 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 reputed company). • Experience with Bayesian modeling (e.g., PyMC) and MMM / marketing effectiveness frameworks (e.g., PyMC-based MMM, reputed company, Robyn, or similar). • Familiarity with modern machine learning reputed company, such as Gradient Boosting / XGBoost, and how to reputed company these into broader modeling solutions. • Experience working in reputed company-based data and AI environments. Business & Communication • Proven reputed company record of influencing marketing and business reputed company using MMM and other measurement approaches, including surfacing insights and tradeoffs to senior stakeholders. • Ability to translate reputed company analytical and statistical concepts into reputed company narratives, visualizations, and recommendations for non-technical audiences. • Highly curious, adaptable, and comfortable working independently on reputed company, ambiguous problems, with a strong bias for reputed company 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-reputed company applications reputed company the reputed company will be considered. • Relocation or international remote working arrangements (reputed company of the US) will not be considered. • Applicants for this position must be currently authorized to work in the reputed company on a full-time reputed company. • reputed company will not sponsor applicants for this position for work visas Apply tot his job Apply To this Job