GenAI Data Scientist - Commercial & Supply Chain Analytics

Job Description
Are You Ready to Make It Happen at Mondelēz International?
Join our mission to change the way the world snacks. Make It With Pride.
You will represent and communicate data requirements to help us understand our data assets and the relationships among them. You will investigate, analyze and scope data requirements to support the development of data integration, data retrieval and reusable data sets.
How you will contribute
You will:

• Analyze business requirements as a guide for data modeling and apply data analysis, design, modeling, and quality assurance techniques, based on a detailed understanding of business processes, to establish, modify or maintain data structures and associated components (entity descriptions, relationship descriptions, attribute definitions
• Advise on the details of data structures and associated components
• Manage the iteration, review and maintenance of data requirements and data models and you will assist in creating the sematic layer of data
• Have cross-functional understanding to create reusable data assets
• Choose a suitable data modeling approach for each project, such as by assessing the suitability of existing data models and build data models with the flexibility to change when business requirements change
• Reconcile multiple logical source models into a single, logically consistent model and you will ensure that the proposed model follows data architecture guidelines and best practices
• Rationalize the relationships expressed in the logical data model to the schema of the physical data store (that is, database tables and columns)

What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:

• Extensive experience in data modeling in a large complex business with multiple systems
• Ability to simplify complex problems and communicate them to a broad audience

About the Role
We are seeking a highly skilled and motivated data scientist to join our India Data & Analytics team. The successful candidate will play a pivotal role in our data-driven initiatives and be responsible for shaping up and deploying data science and advanced analytics solutions that drives business values for stakeholders.
The role calls for a data scientist with a consulting background, with relevant experience in engaging with business teams to formulate and deliver on business problems. It will involve mapping business problems to a formal data science and/or advanced analytics solution, working with wide range of structured and unstructured data, architecture design, creating sophisticated models, setting up operations for the product with the support from DevOps and MLOps team and facilitating business workshops. Expectations of the successful candidate will be that of a data scientist with experience in consulting business teams. Beyond the technical skillset, independent communication and problem-solving in complex set-up will be key to the success for this role.
Responsibilities:

• Collaborate with cross-functional teams including business stakeholders, data and platform engineers, and product managers to understand key business problems and translate them into data science and/or advanced analytics opportunities.
• Map complex business problems to data science problem, design data science solution using GCP/Azure Databricks platform.
• Deliver Test & Learn (T&L) of new capabilities based in business needs with clear path to production. Collaborate with product teams to bring to industrialization upon T&L completion.
• Own product deployment of advanced analytics and data science solutions for India BU.
• Support any Big Data and Data Science related insights and business recommendations either through development of new capabilities or adhoc data & insight exploration.
• Stay up to date with the latest AI / ML trends, technologies and industry-wide applications & use-cases.

Job Specific Requirements:

• Brings 5+ years of deep data science experience and 2+ years in consulting
• Relevant experience in Consumer / Marketing and Supply Chain data science and advanced analytics capabilities
• Experience in delivery end to end data science life cycle activities
• Strong knowledge of hypothesis building, exploratory data analysis and insights delivery
• Strong knowledge of machine learning and statistical modeling techniques in a in a clouds-based environment such as GCP, Azure, Amazon
• Experience with programming languages such as Python, R, Spark
• Experience with data visualization tools such as Tableau, Power BI, and D3.js
• Strong understanding of data structures, algorithms, and software design principles
• Understanding towards GenAI models and techniques, with exposure on design and delivery
• Understand MLOps concepts and has experience in product industrialization (from data science point of view). Experience in building products for live deployment, i.e. CI/CD.
• Experience with GCP platforms and services such as Big Query, Cloud ML Engine, and Cloud Storage
• Experience with project management activities and following through on project charters.
• Experience in business consultancy / partnering to support delivery of projects
• Self-driven, be able to work with cross-functional teams in a fast-paced environment, adaptability to the changing business needs.
• Strong analytical and problem-solving skills
• Excellent verbal and written communication skills, and able to communicate with business stakeholders independently.

Others skills to be successful in the role:

• Leadership with high level of self-initiative and drive, for example leading the discussions on D&A agenda in the region and building a combined vision across multiple stakeholders
• Communication, for example conveying information to diverse audiences in a way that is easily understood and actionable.
• Facilitation and conflict resolution, for example hosting sessions to elicit ideas from others, understand their issues and encourage group participation.
• Creative thinking and being comfortable with unknown or unchartered territories, for example framing new concepts for business teams and brainstorming with business users about future product and services.
• Teamwork & Collaboration, for example working with both business domain teams as well as D&A teams and stakeholders.
• Storytelling & influencing, for example by creating a consistent, clear storyline for better understanding and/or to assert ideas and persuading others to gain support across an organization or to adopt new behaviors.

Education / Certifications:

• Bachelor's or Master's in Computer Science, Engineering, Computational Statistics, Mathematics.

Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy
Business Unit Summary
At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.
We have a rich portfolio of strong brands globally and locally including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum.
Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen-and happen fast.
Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Job Type
Regular
Data Science
Analytics & Data Science