Data Scientist II, Analytics Engine Optimization

Overview

Data Scientist II on the Analytics Engine Optimization team, based in the General Mills India Center, supporting digital marketing measurement and investment optimization across the global portfolio, and serving as the Marketing Analytics SME.

What you'll do

• Partner with marketing and business stakeholders to define analytical problems, success criteria, data requirements, and measurable business outcomes.
• Develop and implement data-driven solutions using advanced analytics and machine learning techniques to measure marketing effectiveness.
• Build, validate, and maintain causal inference pipelines and measurement strategies such as Marketing Mix Models.
• Create statistical and machine learning models to quantify the campaigns and interactions that affect consumers' purchase behavior.
• Build statistical model-based Omni-channel marketing solutions to optimize investment and maximize impact across different channels.
• Develop attribution model solutions to optimize the delivery and timing of marketing initiatives across different channels and audiences.
• Design, recommend, and measure statistically proven A/B tests by applying best practices.
• Communicate insights, model outputs, and recommendations clearly to non-technical audiences.
• Partner with third-party vendors/agencies to define measurement strategy.
• Ensure the necessary data will be available at the right level to enable evaluation and optimization of marketing programs.
• Construct production ready, reusable, large scale or scalable complex optimization, simulation and machine learning models that provide real time insights aligning with General Mills Data Science standards.
• Contribute to existing Data Science projects and initiatives.
• Develop forecasts and build simulation models to predict the outcome of complex and real-world scenarios.
• Monitor and improve model performance metrics in terms of accuracy and near-optimal recommendations, incorporating feedback from business partners.
• Understand current uses and future state of promotional planning/optimization at General Mills, capture ongoing needs, and support integration with existing systems, data sets, and reports.
• Provide thought leadership and apply creative analytical solutions to ad-hoc projects.
• Possess an R&D mindset by prototyping and carrying out tests.
• Influence, educate, and train the organization to adopt new processes and systems.
• Vet analytics components with 3rd-party tools, evaluating their performance and providing recommendations to help drive procurement decisions.
• Mix analytical insights with business knowledge to build solutions that work in the real world.

What you'll need

• Bachelor's Degree in Statistics, Mathematics, Operations Research, Physics, or related quantitative discipline.
• Minimum years of relevant experience in Data Science, Modeling, and Advanced Analytics (number not stated).
• Expertise in problem-solving, including experience/knowledge of statistical measurement, forecasting, and econometrics.
• Working knowledge of statistical algorithms and predictive modeling techniques, especially Regression, Bayesian, Classification, Boosting, and Optimization models.
• Strong SQL skills.
• Expertise level knowledge in Python or R.
• Working knowledge of relational databases and Cloud-based environments such as GCP.
• Experience working with data visualization tools (e.g. Tableau) and data integration platforms (e.g. Alteryx, Talend).
• Experience in Data Mining, building and working with APIs.
• Familiarity with Data Clean Room technology.
• Proven knowledge and understanding of development in an Agile environment.
• Exceptional communication skills, with the ability to clearly and simply communicate complex results to a wide range of audiences.
• Learning agility, with the ability to work in white space to build new analytical processes and tools.
• Familiarity with syndicated data sets (Nielsen/IRI).

Nice to have

• Master's Degree in a quantitative field.
• Experience working within a marketing analytics agency, tech platform, or enterprise consumer brand.
• Experience working in a large, matrixed organization with multiple concurrent stakeholders and priorities.

Details

• Location: General Mills India Center (India office), part of the global model with day-to-day direction closely connected to U.S.-based functional partners and managers.
• Applicants must meet minimum age qualifications in the country in which the job is located.