Job Details

IoT Data Scientist

Advertiser
Xerox
Location
Palo Alto, California, United States
Rate
-
General information City: Palo Alto State/Province: California Country: United States Department: Research & Development Date: Thursday, May 13, 2021 Working time: Full-time Ref#: Job Level: Individual Contributor Job Type: Experienced Job Field: Research & Development Seniority Level: Mid-Senior Level Description & RequirementsPARC, a Xerox company, is in the Business of Breakthroughs®. Practicing open innovation, we provide custom R 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 Internet of Things (IoT) analytics. We are looking for a candidate with a strong background in IoT and related applications to help us develop prototypes and early-stage proof of concept models. Experience in handling large datasets specifically on data streams is required. Evidence of multi-sensor data fusion, use of machine learning on sensor datasets, specifically 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 produce early-stage prototypes. A few examples of ongoing work include anomaly detection in machinery using streaming sensor data, identifying hazardous risks in built structures using trend analysis, enhancing cyber-security of sensor devices, and network sensor analytics. 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 • Good understanding of network and cyber security • Solid presentation and communication skills Preferred Skills: • Knowledge to implement machine learning on edge devices • Knowledge of feedback control systems • Experience with custom-built firmware and hardware Responsibilities: • Collect and preprocess sensor data • Design, code and test features of IoT devices • Build prototypes and implement signal processing and machine learning algorithms • Run ML algorithms on edge devices • Design platform solutions that work with IoT applications • Participate in code reviews • Publish research results in top-tier journals and at leading international conference Xerox is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, creed, religion, ancestry, national origin, age, gender identity or expression, sex, marital status, sexual orientation, physical or mental disability, use of a guide dog or service animal, military/veteran status, citizenship status, basis of genetic information, or any other group protected by law. Learn more at and explore our commitment to diversity and inclusion! People with disabilities who need a reasonable accommodation to apply or compete for employment with Xerox may request such accommodation(s) by sending an e-mail to . Be sure to include your name, the job you are interested in, and the accommodation you are seeking. © 2020 Xerox Corporation. All rights reserved. Xerox® and Xerox and Design® are trademarks of Xerox Corporation in the United States and/or other countries

Send application

Mail this job to me so I can apply later

Apply With CV

You are not logged in. If you have an account, log in to your account. If you do not have an account, why not sign up? It only takes a minute!

latest videos

Upcoming Events