Data Scientist II, Analytics Engine Optimization

General Mills, Inc.; Mumbai; Hybrid; INR 2,500,000 - 4,500,000; Full time

Job summary

General Mills, Inc. in Mumbai is seeking a Data Scientist II to drive analytics and measurement for digital marketing and investment optimization.

You will partner with cross-functional teams to build models, quantify campaigns, and optimize spend across channels, applying advanced analytics and causal inference at scale. Responsibilities include developing marketing mix models, attribution solutions, and robust A/B testing frameworks, while communicating insights to both technical and

Qualifications

• Bachelor’s degree in a quantitative discipline and strong foundation in statistics.
• Experience in data science, modeling, and advanced analytics.
• Proficiency in regression, forecasting, econometrics, and causal inference.
• Strong SQL and programming in Python or R.
• Experience with data visualization and data integration tools.
• Familiarity with cloud platforms and agile environments.

Responsibilities

• Define analytical problems with stakeholders and measurable outcomes.
• Develop data-driven solutions using advanced analytics and ML to measure marketing effectiveness.
• Build and maintain causal inference pipelines and marketing mix models.
• Create attribution models to optimize multi-channel campaigns.
• Design and evaluate A/B tests and communicate insights to non-technical audiences.
• Collaborate with vendors to define measurement strategies.
• Prototype and test new analytical approaches to drive business impact.

Skills

SQL

Python

R

Tableau

Alteryx

Talend

Data Mining

APIs

Agile

Communication

Education

Bachelor’s degree in Statistics, Mathematics, Operations Research, Physics, or related quantitative discipline

Tools

Tableau

Alteryx

Talend

GCP

Job description

Data Scientist II, Analytics Engine Optimization通用磨坊的职业网站由 Workday Recruitment 提供支持,该网站可能会使用包括 cookie 在内的技术,以确保网站正常和安全运行。如果您接受,可能会使用额外的功能性 cookie 或类似技术来提供更个性化的体验。有关 Workday 使用的技术、使用原因以及如何控制它们的更多信息,请查阅 Workday Recruitment 网站 Cookie 通知。# General Mills 职业生涯## Data Scientist II, Analytics Engine Optimization申请: 混合办公: Powai, Mumbai, MH: 全职工: 今天发布: 10130502**公司简介**我们的使命是就是制作全世界都喜爱的食物。 然而,我们的追求不止于此。 本公司一向重视正向力量,提供持续学习、探索新视角、重新构想新可能的环境。 我們尋找那些渴望展現最佳自我的人——那些擁有遠大抱負、敢於挑戰彼此、共同成長的思想者。 因为要成为食品行业无可争议的佼佼者,意味着要与那些渴望了解未来发展趋势的人共事。**JOB OVERVIEW**The “Insights and Analytics” organization within General Mills’ Strategy and Growth function is responsible to deliver integrated consumer, customer, category, and business performance insights to power smarter, faster decisions and next-best actions, enabling precision in brand strategies, campaign execution, media and investment optimization across our US businesses and brands. The Insights and Analytics org has integrated teams operating from our Minneapolis and India offices. This is a newly created Data Scientist II role within our Analytics Engine Optimization org and will be based in our India office.**Purpose of the role**As a **Data Scientist II** on the Analytics Engine Optimization team, you will be responsible for conducting analysis, applying statistical and mathematical techniques, and developing models to support digital marketing measurement and investment optimization across our global portfolio. The role will measure and analyze digital, investment, and sales data to evaluate marketing effectiveness, support optimization efforts, and serve as the Marketing Analytics SME. In this role you will partner across Insights & Analytics, The Agency, Digital & Technology, Sales, Finance, Operating Units (OUs), and Business Units (BUs) to leverage Data and Advanced Analytics to solve problems and implement key initiatives.We are looking for candidates with strong Data Science, Measurement, and Marketing expertise with a passion to solve complex problems. You will work on projects with high impact and create a new generation of products, tools and capability within an Agile environment. The role will also have exposure to many functions within the company and globally to gain a unique perspective on the business from marketing effectiveness lens.Based in the General Mills India Center (GIC), this role will operate as part of General Mills’ global model, with day-to-day work direction and priorities closely connected to U.S. based functional partners and managers.**KEY ACCOUNTABILITIES*** 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 audience.* 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 & 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.* Responsible for monitoring and improvement of model performance metrics in terms of accuracy, optimal near optimal recommendations with feedback incorporated from business partners.* Understand both current uses and future state of promotional planning/optimization at General Mills, capture ongoing needs, and support integration with existing systems, data sets, reports.* Provide thought leadership and apply creative analytical solutions to ad-hoc projects.* Possess 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**MINIMUM QUALIFICATIONS*** 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* Expertise in problem-solving including experience/knowledge of statistical measurement, forecasting, and econometrics* Working knowledge in statistical algorithms, 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 environment such as GCP* Experience working 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 Agile environment* Exceptional Communication Skills – ability to clearly and simply communicate complex results to a wide range of audiences* Learning agility – ability to work in white space to build new analytical processes and tools* Familiarity with syndicated data sets (Nielsen/IRI).**PREFERRED QUALIFICATIONS*** 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.