Cheerios
Location
Powai, Mumbai | India
Job description
India is among the top ten priority markets for General Mills, and hosts our Global Shared Services Centre. This is the Global Shared Services arm of General Mills Inc., which supports its operations worldwide. With over 1,300 employees in Mumbai, the center has capabilities in the areas of Supply Chain, Finance, HR, Digital and Technology, Sales Capabilities, Consumer Insights, ITQ (R&D & Quality), and Enterprise Business Services. Learning and capacity-building is a key ingredient of our success.
Shift Timings: Regular
About General Mills
We make food the world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Häagen-Dazs, we've been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell.
. World's Most Admired Companies, Fortune 2022
. America's Most Responsible Companies, Newsweek 2022
. 100 Best Corporate Citizens, 3BL 2021
. Best Places to Work for LGBTQ Equality, Human Rights Campaign 2022
. 100 Best Companies, Seramount 2021
. Diversity Best Practices Leading Inclusion Index, Seramount 2021
. Best Companies for Dads, Seramount 2021
. Best Companies for Multicultural Women, Seramount 2021
. Top 10 Companies for Executive Women, Seramount 2021
. Military Friendly Employer Bronze, VIQTORY 2021
. Best Place to Work, Canada, Greater Toronto, 2021
. Top 50 - India's Best Workplaces for Women, 2021
. Top Workplaces in Brazil, 2021
. Asia's Best Workplaces, 2021
Hungry for What's Next
We exist to make food the world loves, and it shows. Our passion for people, doing good and creating delicious food has energized us for over 150 years. Breaking away from the pack is how we win, so we need your unique perspectives: your quirks, 'crazy' ideas, rigor and insatiable curiosity to make it happen. We want people who constantly experiment, embracing the new and bold, who keep pushing to turn ideas into reality, no matter how big or small. We've learned becoming the undisputed leader in food means continuously reshaping, reimagining and rebuilding- that only happens when you surround yourself with those who are hungry for what's next.
For more details check out
General Mills India Centre
General Mills India Center (GIC) operates out of Mumbai and supports the global operations of General Mills. The center was established in 2005 and has grown in strength. Today, we are a vibrant and diverse team of over 1500 employees that come together to champion business services for the various global entities of General Mills in the areas of Business Operations, Analytics Consulting, Logistics, Finance, IT Development & Technology Consulting, Consumer & Market Intelligence, Sales Capabilities, Research & Development.
Digital and Technology team
Digital and Technology is the largest team in GIC, which focuses on understanding the latest and innovative trends in technology and leading the adoption of cutting-edge technologies at General Mills. The team closely collaborates with global business teams to understand business models and assess where technology can leveraged to bring efficiency and disruption. Be it AI/ML, Data Science, IoT, NLP, Cloud, Infrastructure, RPA and Automation, Digital Transformation, Cyber Security, Blockchain or Enterprise Architecture, GIC Digital and Technology has something for every technology enthusiast who wants to work here. Our MillsWorks initiative is where we bring agile@scale delivery model to life. Here, business and technology teams work cohesively in pods as ONE team, driven by a singular mission and focused on delivering value for the Company. Our employees, who work on large technology projects of strategic importance, are the Digital Transformation change agents.
Our service partnerships and employee engagement are centred on advancing equity and strengthening communities. We believe in an inclusive culture and trust in the power of people who have a passion for learning and growing with technology. We believe in 'Work with Heart'. Work with Heart is focused on results, not facetime. If you are passionate about the latest in technology and want to make an impact on the digital tr ansformation journey of a Fortune 500 company, we're waiting for you.
Job Overview
Role: Lead Data Scientist
Location: Mumbai
General Mills, Digital and Technology India, is seeking a Lead Data Scientist to join our dynamic and innovative Data Science team. As a Lead Data Scientist, you will play a crucial role in shaping our AI and machine learning strategies, managing model development projects, AI technical explorations and mentoring our talented team of data scientists. The ideal candidate will have expertise in AI platforms, ML modelling techniques, development life cycle, GCP Vertex AI, and a proven track record of successful AI solution delivery.
Role Responsibilities
AI and ML strategy:
. Develop and implement AI and ML strategies aligned with business objectives.
. Stay abreast of industry trends and emerging technologies to ensure our strategies remain cutting-edge.
. Constructively challenge the other data scientists on approach
. Utilize and provide expertise in leading AI platforms, frameworks, and libraries.
. Evaluate and recommend new tools and technologies to enhance our machine learning capabilities.
Lead the AI solutions deliver:
. Partners with business stakeholders to deliver value add insights and intelligent solutions through ML and AI.
. Collaborates with ML engineers and systems engineers to ensure the models are deployed in a scaled and optimized way. Additionally ensure support the post-production to ensure model performance degrades are proactively managed.
. Is considered an expert in at least one of functional areas brings together business knowledge, resources, people, and technology to create more effective solutions
Model development and Explorations:
. Lead and contribute to the development of machine learning models from ideation to production deployment.
. Hands-on experience with Google Cloud Platform's Vertex AI for building, deploying, and managing machine learning models.
. Oversee the entire development life cycle of AI solutions including MLOps practices, ensuring high-quality and scalable deliverables.
. Collaborate with cross-functional teams to integrate machine learning solutions into existing products or processes.
. Lead explorations for AI techniques, platforms and tools.
AI Literacy and Mentorship:
. Mentor and guide a team of data scientists in approach for AI solution delivery.
. Foster a collaborative and innovative team environment.
. Contribute to the overall effort to educate stakeholders on AI practices.
. Closely collaborates with the stakeholders on projects and data science leaders to ensure practices are developed and enhanced to support accelerated analytic development and maintainability.
Must - have technical skills and experience
. 8+ yrs in providing data science solutions and overall 12+yrs of Industry experience.
. Proven skills in leading implementations of AI solutions.
. Experienced in providing technical mentorship.
. Expertise in supervised ML algorithms, optimization and performance tuning.
. Proficiency in Retail domain, either supply chain or commercial.
. Technical Platform- include proficiency on Google Cloud Platform, SQL, Python, spark, Tensorflow.
. Technical Concepts- MLOps, Containerization, Data Lineage and Visualization.
. Experience working with an Agile development methodology featuring sprints, point estimation and daily stand-ups.
. Excellent stakeholder management skills and story telling skills.
. Bachelor's Degree in Computer Science/Statistics/Applied Mathematics from Tier 1 institute.
Good to have skills
. Prior experience with CPG industry.
. Publications or contributions to the data science and AI community.
. Certifications in AI, machine learning, or related fields.
Technical Skill proficiency expectations
Expert level | Intermediate Level | Basic Level |
. AI solutions architecture . Google Cloud Platform - Vertex AI, BQ, Composer, Cloud Storage . ML supervised algorithms . CPG domain either on Commercial or supply chain . Python, SQL |
. MLOps
. GCP cloud architecture
. AtScale & Alation
. Deep Learning
. Container, GKE
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