GlobalSource IT

Compensation

Full Description

GlobalSource IT is a niche IT recruiting company. Enough about us, the purpose of this job posting is to tell you about the opportunity at our client. They are a well known food producer and I'm willing to bet you have likely had their products :). They are looking to fill a key senior role to capture and utilize data from their production facilities. This person will revolutionize the way this major employer delivers products to their customers based on this transformation. Please see below for additional details and contact Dave with any questions at daves@globalsourceit.com. Thanks for reviewing! Job Summary This is a role that combines advanced machine learning research with strategic business analysis, bridging technical innovation and business insight and enabling scalable AI applications and actionable analytics. Develops intelligent solutions that enhance decision-making and operational efficiency across the enterprise. Enables smarter services and informed decisions for our business community. Helps design, deploy, and monitor data pipelines, predictive models, dashboards, and internal AI tools with emphasis on data analytics and machine learning. Collaborates with departments to unlock the value of unstructured data while ensuring transparency, ethics, and equity in AI use. Responsible for strategic and tactical areas, focusing on the high-level design and vision of the predictive analytics ecosystem while building and maintaining the infrastructure and systems that support predictive models in production. Key Responsibilities 1. Designs and implements machine learning models using R, Python, TensorFlow, and Azure ML. 2. Conducts research on and supports experimentation with AI methodologies including NLP, computer vision, and generative models. 3. Analyzes complex datasets using SQL, Power BI, and Excel to uncover trends and opportunities. 4. Collaborates to define requirements and translate them into technical solutions. 5. Documents methodologies, findings, and recommendations for technical and non-technical audiences. 6. Gathers data from internal and external sources to store in the business data lake. 7. Analyzes structured and unstructured data to uncover insights that support operational and strategic goals, including supporting use cases related to IoT devices and measuring points from the production lines. 8. Operationalizes predictive models and integrates them into the company's operational systems. 9. Designs and maintains robust, automated data pipelines (ETL/ELT) that collect, transform, and move data to be used for predictions. 10. Implements best practices for the full lifecycle of machine learning models, including deployment, monitoring, and retraining. 11. Manages infrastructure of cloud and big data technologies (e.g., Spark, Hadoop) to ensure predictive systems are scalable and efficient. 12. Ensures the integrity and quality of the data that feeds into the predictive models. 13. Develops dashboards and self-service analytics using tools such as SAP Analytics Cloud (SAC), Power BI, and other supported platforms. 14. Partners with departments to interpret data and tell compelling, actionable stories. Builds future predictions based on current and past data. 15. Supports data governance practices, including metadata standards, data quality monitoring, and data lifecycle management. 16. Works cross-functionally and across all IT areas. Minimum Qualifications (Educations & Experience) 1. Bachelor’s degree in related field (i.e., data science, Business Analytics, Computer Science, Statistics, etc.) or equivalent 2. 8+ years of relevant experience or the knowledge, skills, and abilities to succeed in the role Essential Knowledge, Skills, and Abilities • Ample experience in data analytics, AI modeling, machine learning, business analysis, and business intelligence tools • Deep business acumen, gathering and analyzing data from multiple internal and external sources, as well as from various business areas • Strong foundation in statistics, optimization, and data modeling • Proficiency in R, Python, SQL, and BI tools (Power BI, Tableau) • Experience with cloud platforms (Azure, AWS, GCP) • Excellent communication and client/partner engagement skills • Ability to manage multiple projects and prioritize effectively • Familiarity with Agile or Scrum methodologies Preferred Knowledge, Skills, and Abilities • Master’s degree in data science, Business Analytics, Computer Science, Statistics, or related field • Experience with LLMs, reinforcement learning, or enterprise AI applications • Experience with SAP, Azure Data Factory, or enterprise data platforms