Sr. Data Scientist

About Ingredion:

Join Ingredion, where innovation impacts lives worldwide! Without even realizing it, you’ve experienced our work in your favorite chocolate, your pet’s food, the paper you write on, and your everyday snacks. As a global powerhouse across more than 60 industries, we harness the potential of natural ingredients to transform lives. Whether you’re just starting your career or bringing years of experience, there's a place for you here to make a real difference. Be part of our team that values a wide range of perspectives and is committed to shaping a better world with every product we create.

LOCATION:  Westchester, IL

WORKPLACE TYPE: Hybrid

Our Digital Technology Solutions organization has followed our digital strategy for the last several years and built a solid base for digital transformation through the deployment of several digital platforms that are adding value to the organization. We are now prepared to move forward and align with Ingredion’s Play to Win (P2W) strategy and organize our Digital Technology Solutions organization to achieve this strategy. To accomplish the next stage of our strategy, we have designed an organization model and structure that will closely align with our global functions and will establish improved governance models to ensure we align functional technology investments with business priorities that enable realized value. 

The Sr. Data Scientist will be responsible for managing, designing, developing, and deploying scalable and robust artificial intelligence and machine learning solutions for various business problems to enable digital transformation and innovation across various functions. This senior-level role demands a candidate with a strong background in AI/ML design, development and, architecture of AI/ML, technologies, and partnership with technical and non-technical stakeholders. This role will collaborate with cross-functional teams to architect, design and ensure development of impactful solutions that optimize processes, for the identified opportunities. This role will also be responsible for managing the AI/ML operations. This role will lead an external team of AI/ML engineers, architects, consultants, and data scientists under a factory model approach.

This position will work closely with the Digital Partners, Solution Delivery leads, business analysts, consultants, developers, and project managers to understand the business requirements, translate them into AI/ML initiatives, and ensure the delivery of high-quality solutions. This position will recommend the best solutions to meet the business requirements and will also provide technical guidance, best practices, and troubleshooting support to the executing teams. Role will report to Director AI/ML Technology & Architecture.

What you will do:

• Analyze requirements for ML projects supporting Ingredion functional areas (demand planning, experimental ingredient formulations, manufacturing, yield management, and others) and translate them into ML solutions.
• Assist in leading the Ingredion and DTS AI Labs community in peer reviewing member projects, formalizing best practices and standards, and collaborating with Ingredion Data Scientists on  ML problems.
• Review and advise project uses of AI/ML frameworks, tools, and platforms, such as TensorFlow, PyTorch, Scikit-learn, R, Azure, and Google Cloud Platform.
• Document and evolve best practices, standards, and processes for AI/ML development and deployment.
• Design and implement end-to-end AI/ML pipelines, from data ingestion and processing, to model development and deployment, to monitoring and evaluation.
• Design and document solution architectures, including the integration, security, scalability, and performance aspects.
• Test and validate solutions and ensure they meet the quality standards and expectations of the solution architecture and design.
• Collaborate with data engineers, data scientists, business analysts, and stakeholders to understand the business needs, define the AI/ML objectives, and communicate the results and insights.
• Promote and apply best practices and standards for AI/ML engineering, such as code quality, testing, documentation, version control, and CI/CD.
• Provide technical leadership and mentorship development teams and junior AI/ML engineers and data scientists.
• Collaborate with stakeholders, product managers, and engineers to define AI/ML requirements and deliverables.
• Monitor and evaluate the performance and impact of AI/ML solutions and provide feedback and recommendations for improvement.
• Research and evaluate the latest AI/ML techniques and algorithms and apply them to solve business problems.
• Stay updated on the latest technologies, trends, and innovations and