Data Scientist

As the Data Scientist, your responsibilities will include:

Role Overview

• Lead data science initiatives within the Digital Operations team, driving innovation and operational excellence across Supply Chain, Manufacturing, and Quality.
• Manage and mentor citizen data scientists while spearheading complex data science projects from inception to deployment, ensuring continuous alignment with business objectives.

Leadership and Project Management

• Lead and manage citizen data scientists through all phases of data science projects, providing mentorship and guidance.
• Collaborate with cross-functional teams to design, scope, and prioritize data science projects, including defining data collection methods, modeling techniques, and expected outcomes.
• Manage data science projects from initiation to completion, continuously revisiting and refining models to ensure they meet evolving business needs.
• Develop and maintain governance principles for data science projects, ensuring best practices are followed.

Problem Analysis and Project Management

• Develop advanced analytics models (predictive, prescriptive, machine learning, simulation, statistical) to address complex business challenges in Supply Chain, Manufacturing, and Quality.
• Utilize advanced machine learning and statistical techniques to perform data discovery, uncovering new correlations and interdependencies among variables that can drive operational improvements.
• Lead the development of scalable data pipelines and integrate model performance management tools into existing business infrastructure.

Data Collection, Exploration, and Integration

• Access and integrate data from various sources, including SQL databases and other systems relevant to Digital Operations.
• Conduct data cleaning, transformation, and preprocessing to ensure data quality and readiness for modeling.
• Apply statistical analysis, such as hierarchical clustering and PCA, to uncover insights.
• Aid in the creation of data pipelines for more efficient and repeatable data science projects
• Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering and principal components analysis (PCA)
• Develop classification and regression models or apply unsupervised learning to aid in uncovering insights in data.

Operationalization

• Develop advanced analytics models (predictive, prescriptive, machine learning, simulation, statistical) to address complex business challenges in Supply Chain, Manufacturing, and Quality.
• Utilize advanced machine learning and statistical techniques to perform data discovery, uncovering new correlations and interdependencies among variables that can drive operational improvements.
• Lead the development of scalable data pipelines and integrate model performance management tools into existing business infrastructure.
• Collaborate with IT and data engineering teams to deploy and monitor production ML models, establishing best practices around ML production infrastructure.
• Continuously monitor, revisit, and refine deployed models to ensure they remain aligned with business objectives and adapt to changing operational needs.
• Work closely with stakeholders to communicate findings, insights, and recommendations effectively, ensuring that data-driven strategies are integrated into decision-making processes.

Other

• Stay updated with the latest advancements in data science, machine learning, and AI, and proactively integrate these innovations into projects where applicable.
• Drive strategic initiatives by identifying and prioritizing AI/ML opportunities that align with the organization’s operational goals, challenging the status quo, and promoting bold, innovative thinking.

The Data Scientist position is well-suited for you if you:

• Can translate business strategies into actionable plans by leveraging market and functional knowledge
• Champion new processes, remove barriers, and adapt current processes to facilitate improvement
• Build sustainable internal and external relationships that deliver value for the business
• Cultivate and maintain partnerships across functions, helping teams successfully navigate competing priorities
• Challenge the status quo and promote bold thinking to create value

Qualified candidates will have:

• Bachelor’s Degree in Business, Management Information Systems, Data Science, or a related field required.
• Master’s Degree in Data Science field strongly preferred.
• Proven experience in leading and managing citizen data scientist.
• Specialization in ML, AI, cognitive science, or data science
• Knowled