Data Scientist II, Analytics Engine Optimization

General Mills
Mumbai Metropolitan Region

Company Overview

We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.

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.

ELIGIBILITY

Applicants must meet minimum age qualifications in the country in which the job is located.

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Questions about this job

How do I apply for the Data Scientist II, Analytics Engine Optimization job at General Mills?

Use the apply link on this page: you apply directly with General Mills on LinkedIn. Before you do, score your resume against this job description on Fitboard. It shows which skills and keywords the job asks for that your resume doesn't show, so you can fix them first.

What skills does General Mills want for this Data Scientist II, Analytics Engine Optimization role?

The job description asks for 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 and Experience working data visualization tools (e.g. Tableau), and data integration platforms (e.g. Alteryx, Talend). Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

How can I get a job at General Mills?

Apply to the General Mills roles that match your experience, and tailor your resume to each job description: for this role that means showing 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. A resume that matches the job's own keywords is more likely to get past screening. Fitboard scores your resume against this exact job for free.

Is this Data Scientist II, Analytics Engine Optimization job remote or onsite?

This is based in Mumbai Metropolitan Region.

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Applying is free: you apply directly with General Mills, and this job page and its apply link cost nothing. Checking your resume against this job is free too, with 3 free scans when you sign in and no credit card needed.

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