|Job Title||Data Scientist|
The Cloud Operations Machine Learning (COML) team is seeking a Senior to join our team. The COML team is responsible for infusing AI and Machine Learning (AI/ML) methodologies into Infor’s cloud operations. Infor’s customers depend heavily on our servers operating at peak efficiency and maximum uptime, and any disruption in service can have adverse effects on our customers. Our customers rely on our servers to perform key business operations such as paying their employees, generating essential reports, communicating with their own customers, etc. Therefore, while this is first and foremost a data science position, our ultimate goal is improved customer satisfaction and retention.
The Cloud Operations division of Infor generates an enormous amount of data for monitoring server uptime and performance, and the COML team uses that data to design and implement innovative AI/ML solutions to complex problems. Our team works on problem solving from beginning to end, from understanding the business problem, prototyping modeling solutions, designing data pipelines, and implementing algorithms in production systems.
A Day in The Life Typically Includes:
·Meet with stakeholders to fully understand business problems and how to solve those problems.
·Work with engineering to implement and refine data pipelines.
·Write code to acquire and extract data from intermediate storage locations and load it for analysis.
·Define data requirements and perform exploratory data analysis.
·Design and test AI/ML approaches to problems faced by teams within the Cloud Operations division.
·Prototype and optimize different AI/ML models to identify the optimal modeling approach for any given data problem.
·Perform hyperparameter tuning and optimization.
·Write scientific reports to analyze and document your work for review by other data scientists.
·Translate business problems to mathematical models and validate understanding with stakeholders.
What You Will Need:
·Four-year degree in one of the following (or related) fields: Data Science, Mathematics, Statistics, Economics, Computer Science, Physics, Engineering, or a related quantitative field.
·Minimum of 3 years’ experience in a data science position, or in a similar position that involved mathematical modeling and quantitative data analysis.
·Demonstrated real-world experience in mathematical modeling, data science methodologies, and coding.
·Demonstrated real-world experience in designing and implementing a full machine learning pipeline, from ETL, to data pre-processing, to model prototyping, to model deployment and inference.
·Experience coding and debugging models or algorithms in R or python (python preferred.)
·Ability to develop complex algorithms when necessary and simple algorithms when possible.
·Able to work both independently and as part of a team.
What Will Put You Ahead?
·Advanced proficiency in python.
·Real-world experience with cloud-based server monitoring data and workflows strongly desired.
·Possess an understanding of fundamental statistical models and principles (hypothesis testing, linear regression, logistic regression, etc.)
·Familiarity with advanced AI/ML techniques such as boosted models, tree-based models, neural networks, etc.
·Excellent communication skills (eg. the ability to communicate effectively and efficiently with a broad range of audiences.)
·A proven desire to continue learning new technologies and techniques.
Our Guiding Principles set the standard for how we work with one another. They define who we are as an organization and guide everything we do. By applying the same shared values that unleash prosperity in free societies—such as value creation, integrity, responsibility, free speech, and toleration—we encourage one another to take initiative and to challenge the status quo.
We have a relentless commitment to a culture based on a business philosophy calledhttps://www.charleskochinstitute.org/about-us/market-based-management/' class='has-tooltip'>Market Based Management (MBM).
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