Xerox Data Scientist, Sensor Analytics in North Carolina
Data Scientist, Sensor Analytics
City: Palo Alto, Cary
State/Province: California, North Carolina
Country: United States
Department: Research & Development
Date: Friday, March 5, 2021
Working time: Full-time
Job Level: Individual Contributor
Job Type: Experienced
Job Field: Research & Development
Seniority Level: Associate
Description & Requirements
PARC, a Xerox company, is in the Business of Breakthroughs®. Practicing open innovation, we provide custom R&D services, technology, expertise, best practices, and intellectual property to Fortune 500 and Global 1000 companies, startups, and government agencies and partners. We create new business options, accelerate time to market, augment internal capabilities, and reduce risk for our clients. Since its inception, PARC has pioneered many technology platforms – from the Ethernet and laser printing to the GUI and ubiquitous computing – and has enabled the creation of many industries. Incorporated as an independent, wholly owned subsidiary of Xerox in 2002, PARC today continues the research that enables breakthroughs for our clients' businesses.
PARC’s Data Science Group has an opening for a data scientist specializing in sensor data analytics. We are looking for a candidate with a strong background in signal processing to help us develop prototypes and early-stage proof of concept models for a wide range of applications. Knowledge of machine learning/deep learning on sensor datasets is required. Experience in Edge ML is highly desired. The candidate should have a desire to work on problems with real-world impact and have strong implementation skills to create early-stage prototypes. A few examples of ongoing work include processing data from gas sensors, anomaly detection in machinery using streaming sensor data, and multi-sensor data fusion.
M.S/ Ph.D. in Electrical Engineering, Computer Science or related fields
Excellent knowledge of signal processing techniques
Knowledge of machine learning and deep learning model development—experience using scikit-learn, Tensorflow, Pytorch
Experience in handling sensor datasets—networks, data fusion
Solid presentation and communication skills
Preferred Skills: An ideal candidate would additionally possess some of the following skills:
Knowledge to implement machine learning on edge devices
Knowledge of feedback control systems
Collect and preprocess sensor data
Assimilate data from multiple sensors
Build prototypes and implement signal processing and machine learning algorithms
Run ML algorithms on edge devices
Participate in code reviews
Publish research results in top-tier journals and at leading international conferences
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