Data Scientist II, Analytics Engine Optimization

Genl Mills India Priv LTD

Mumbai

On-site

INR 2,500,000 - 5,000,000

Full time

2 days ago
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Job summary

General Mills in India seeks a Data Scientist II to advance analytics for marketing measurement and optimization. You will partner across insights, agencies, and sales teams to deploy data-driven models, MMM, and real-time insights.

Based in Mumbai, you will influence decisions with rigorous analysis and scalable solutions. You will build forecasting, measurement pipelines, and monetize analytics across digital and traditional channels, contributing to global initiatives and ensuring data

Qualifications

  • Bachelor's degree in a quantitative field with emphasis on statistics or analytics.
  • Strong experience in data science, modeling and advanced analytics.
  • Proven ability to apply statistical methods including forecasting and econometrics.
  • Proficient in SQL; Python or R; cloud (GCP) knowledge.
  • Experience with data visualization tools and data integration platforms.
  • Familiarity with data mining and APIs.

Responsibilities

  • Partner with marketing and business stakeholders to define analytical problems and outcomes.
  • Develop data-driven solutions using advanced analytics to measure marketing effectiveness.
  • Build and maintain causal inference pipelines and Marketing Mix Models.
  • Create models to quantify campaigns and interactions affecting purchase behavior.
  • Develop Omni-channel solutions to optimize investment and impact.
  • Design and measure A/B tests with best practices and communicate results clearly.

Skills

SQL
Python or R
Statistics/Forecasting
Econometrics
Bayesian methods
Machine Learning
GCP
Tableau
APIs
Data Mining
Agile
Communication
Learning agility
Nielsen/IRI data

Education

Bachelor’s Degree in Statistics, Mathematics, Operations Research, Physics, or related quantitative discipline
Master’s Degree in a quantitative field

Tools

Tableau
Alteryx
Talend

Job description

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.

New possibilities. Bold thinking. Real heart. Build remarkable brands with remarkable people. At General Mills, we make food the world loves. Across 100+ markets, we come together to create, innovate and grow. Here, you’ll do meaningful work and help to lead the future of food at a company that stands for good.

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