Applied Intelligence, the people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? Visit us here to find out more about Applied Intelligence.
A data pro with serious analytical and statistical chops. You know how to take massive amounts of data and find the insights our clients need to help their companies do more.
Bring solutions to market quickly, efficiently, and seamlessly with advanced analytic algorithms and AI to solve complex supply chain and operations challenges and realize customer strategy
Design, develop and deploy state-of-the-art, data-driven predictive and prescriptive models to solve business problems using the latest and most appropriate technologies in statistical modeling, machine learning and optimization
Convert desired outcomes into value-based business initiatives, linking them to specific analytics, and applying interpretation methods/ techniques to create value
Ability to implement and execute structured decision-making. Acts independently to determine best possible methods and procedures to deliver against enterprise data & analytics assignments
Here’s what you need:
3+ years demonstrated results in the areas of Operations Research and/or Supply Chain Projects (e.g., inventory optimization, network design, revenue optimization, S&OP) in sophisticated and complex environments including the use of simulation and modeling tools (LLamasoft, Simio, CPLEX, Gurobi, AnyLogic, or other similar tools)
3+ years of performing advanced data analytics and modeling using languages such as Python, R, SAS, etc.
2+ years of practical experience with data
Bachelor's degree in data science, applied mathematics, economics, statistics, engineering, industrial engineering, operations research, other quantitative/computational related field of study or equivalent (minimum of 12 years) work experience
Bonus points if:
Postgraduate and/or graduate degree in a mathematical/engineering field of study, supply chain, or an MBA with emphasis on supply chain and operations
Working knowledge of enterprise data tools and technologies
Working knowledge of analytics technologies (SAS, R, Python, Spark, CPLEX, SQL, etc.)
Experience leading presentations and managing client deliveries and expectations
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