Infor

Infor Decision Analytics and Science (IDEAS) team is responsible for setting the innovation strategy at Infor. We are a diverse, well-integrated, and customer-focused team of scientists, engineers, solution architects, application developers, and product managers. We have an ambitious vision to enable enterprise Machine Learning (ML) for all Infor customers across multiple industries and segments. 

 The scientists in IDEAS provide high-quality solutions in ML for Infor’s customers. This role requires and expands your technical expertise in a wide variety of technologies to develop and own our ML vision. As a scientist, you will contribute to the development of highly automated, robust, reusable, explainable, and self-serviced AI/ML solutions that are rapidly deployed and managed at scale. You will rely on a combination of analytics and technical expertise to turn the data vision into reality.

A Day in The Life Typically Includes:

·       Designing, developing, testing, deploying, monitoring, and improving machine learning models for enterprise applications.

·       Working with product managers and Infor customers to understand business problems, identify internal and external data requirements, and formulate data enrichment strategies for enterprise applications.

·       Crafting, conducting, analyzing, and interpreting experiments and investigations.

·       New data parsing, data modeling and analysis, anomaly detection, dataset cleansing, trend, and general characteristics extraction.

·       Feature engineering, eliminating redundant variables, and dimensionality reduction.

·       Matching the data with appropriate techniques and determining feasible outcomes.         

·       Performing a literature review to determine the breadth of models available and those which will provide us with robust and excellent performance.

Required skills:

·       Experience in statistics and computer science.

·       Experience in designing and implementing a full machine learning ML solution pipeline, from ETL to data pre-processing, quantitative data analysis, model prototyping, model deployment, and inference.

·       Programming skills in Python, R/matlab, and PyTorch.

·       Knowledge of SQL and PySpark.

Preferred Qualifications:

·       Masters or Ph.D. (or foreign equivalent) in Computer Science, Electrical Engineering, Statistics, or a related quantitative discipline from an accredited university.

·       Experience in developing real-world ML models for time series, clustering, classification, regression, etc. using novel statistical techniques.

·       A proven record of developing novel approaches that made a real difference to the solution.

Location:  US Remote (Dallas, TX/St. Paul, MN/Alpharetta, GA)

About Infor

Infor delivers end-to-end ERP and strategic edge applications that are integrated and delivered in a multi-tenant cloud. We believe that customers need industry-specific solutions and that one size does not fit all.

We are proud to serve more than 68,000 companies worldwide. Infor is a standalone subsidiary of Koch Industries, Inc., which has annual revenues of over $110 billion.

For more information visit www.infor.com