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Xerox Data Scientist, Sensor Analytics in California

Data Scientist, Sensor Analytics

General information

City: Palo Alto, Cary

State/Province: California, North Carolina

Country: United States

Department: Research & Development

Date: Friday, March 5, 2021

Working time: Full-time

Ref#: 20010667

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.

Required Skills:

  • 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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