Job Description

:Position TitleSr Consultant(Data Sci) - Digital Mfg AnalyticsFunction/GroupCorporateLocationMumbai, IndiaShift Timing1:30 PM to 10:30 PM ISTRole Reports toManager - SC Advanced AnalyticsRemote/Hybrid/in-OfficeHybridAbout General MillsWe make food the world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Hxc3xa4agen-Dazs, wexe2x80x99ve been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell.How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerateus into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. For more details check outGeneral Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people.With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC) , Digital & Technology (D&T) Innovation, Technology & Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy & Intelligence (SSI) , Global Shared Services (GSS) , Finance Shared Services (FSS) and Human Resources Shared Services (HRSS).For more details check out We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow.Job OverviewFunction OverviewThe GIC Supply Chain team manages end-to-end operations, encompassing planning, sourcing, manufacturing, logistics, and analytics. They strategically plan to meet market demands, optimize sourcing, ensure efficient production, and oversee the seamless movement of goods from production to delivery. The team employs advanced analytics throughout these processes, fostering adaptability and operational excellence. This collaborative approach ensures a well-coordinated supply chain that aligns with both organizational goals and dynamic market conditions.Purpose of the roleSupply chain analytics group is responsible for delivering the solutions and developing the capabilities which enables better decision-making in supply chain. This team works closely with all supply chain functions (i.e. plan, source, make, deliver and customer service teams), business units and other cross functional partners for developing solutions to drive business value.This team also drives step-change innovation and improvements in business practices by delivering actionable insights through advanced analytics and supply chain expertise.This role is in the Digital Manufacturing analytics team that supports the Manufacturing and Engineering teams by developing advanced analytics solutions to identify and analyze opportunities corresponding to manufacturing performance, HMM, human safety and food safety. The primary responsibilities of this job are to develop innovative solutions by leveraging analytics techniques like descriptive, diagnostic, predictive and prescriptive modeling, statistical analysis and operations research techniques. This is an individual contributor role that includes project lead responsibilities, stakeholder management, project management, coaching and mentoring the analysts in the team.
The individual needs to have a strong problem solving mindset. The kinds of problem statements that we get in this role need strong analytical knowledge, understanding the various manufacturing and plant floor problems and developing sustainable solutions for the same. Choosing the right technique for the right problem is critically important. The solution base may range from descriptive, diagnostic, predictive & prescriptive analytics. Hence, and indepth understanding of various analytics methods is necessary and along with an end to end solutioning mindset.Key AccountabilitiesStrategic Responsibilities (20% of Time)xc2xb7 Providing thought leadership, critical thinking, problem solving and delivering solutionsxc2xb7 Drive the creation and management of Data Science roadmaps for team aligning with business goalsxc2xb7 Understand and lead analysis of business priorities, user needs and competitive landscape in prioritizing workxc2xb7 Continuously Enhance/Improve & Standardize the process to drive better resultsxc2xb7 Contribute to develop a detailed SOP & Onboarding of the processxc2xb7 Analytics Models design, development & Improve (35% of Time)xc2xb7 Understand the business problemxc2xb7 Work with the scrum master to put together the team, project timelines and user storiesxc2xb7 Lead Team to execute projects/use casesxc2xb7 Execute Complex use casesxc2xb7 Descriptive/Diagnostic/Predictive/Prescriptive Model designxc2xb7 Effectively review and deploy results to stakeholders using effective visualizations. Working with other data analysts, data scientists and visualization analysts in the team to achieve the samexc2xb7 Perform automated testing on the modelsxc2xb7 Support bug fixes/enhancements on existing modelsOutput (25% of Time)xc2xb7 Story Tellingxc2xb7 Reviewing Outputs and guiding team towards effective explanation to present to Stakeholdersxc2xb7 Provide actionable insights to the stakeholders using the appropriate tools xe2x80x93 effective presentations, visualizations.xc2xb7 Sustain the models by effectively using DevOps/MLOps and necessary documentationxc2xb7 Deployment and Sustained support for all the applicationsTraining / Knowledge (20% of Time)xc2xb7 Mentor & train team members on data preparation, diagnostics, predictive analytics, R, Python and Manufacturing analyticsxc2xb7 Process standardization and documentationxc2xb7 Working on Individual development plansMinimum Qualifications

• Full Time graduation from an accredited university (Mandatory).
• Total analytics experience required 7-9 Years.
• 4+ years of related experience
• Experience in predictive forecasting, market mix modelling, linear optimization, network optimization in marketing analytics or supply chain analytics
• Technical understanding of cloud and ability to utilize data from a variety of data sources like big query, flat files, cloud storage.
• Understanding of data warehousing & databases is critical.
• Number sense, ability to identify questionable data, dig in & address it
• Understanding / experience of CPG industry is desirable.
• Experience with Hadoop, Hive, and/or Spark a plus
• Bias for action with ability to deliver outstanding results through task prioritization & time management.
• Exemplary organizational skills with attention to detail & accuracy
• Experience with machine learning
• Experience with data visualization tools
• Experience writing complex SQL queries.
• Excellent communication skills- verbal and written.
• Excellent stakeholder management skills
• Ability to understand business use case and convert into data science problem.
• Ability to explain model output to business and why should they trust in the model.

Preferred Qualification

• Masterxe2x80x99s degree
• 6+ years of related experience
• Major Area of Study in any of the below
• Masters in Analytics
• Masters in Statistics
• Experience working on MLOps & GCP.
• GCP Certification

Skill Proficiency ExpectationsExpert level

• Python
• Exploratory Data Analysis
• Any two
• Predictive Forecasting
• Market Mix Modelling
• Linear Optimization
• Network Optimization

Intermediate Level

• SQL, Oracle, Any RDBMS
• PL/SQL
• Inferential Statistics
• Machine Learning Algorithms (Any One)

Basic Level

• GCP cloud architecture
• Tableau, Looker
• Deep Learning

General Mills