Artificial Intelligence Scientist, Principal

{"domain": "zebra.com", "user": "Import zebra.com", "isWillingToRelocate": false, "isUserAuthenticated": false, "isUserETXCandidate": false, "isDomainETX": false, "isCareerPlannerEnabled": false, "isMyApplicationsEnabled": false, "showVeteranEmployerSignUp": false, "candidate": {"enc_id": 0, "fullname": "", "firstname": "", "lastname": "", "skills": [], "email": "", "phone": "", "location": "", "filename": null, "starred_positions": [], "resumeUrl": "", "onboardingCompleted": false, "isUserInPcsIjp": false, "linkedinUrl": ""}, "branding": {"customContent": {"positionSections": [{"body": "  <div class=\"row   \">\n      <div class=\"carousel\">\n         <div class=\"row   \">\n            <div class=\"react-swipe-container carousel\" style=\"overflow: hidden; visibility: visible; position: relative;\">\n               <div style=\"overflow: hidden; position: relative; width: 2934px;\">\n                  <div data-index=\"0\" style=\"float: left; position: relative; transition-property: transform; 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Support the development of new ML techniques and algorithms through data analysis and proofof-concepts. Develop production level machine learning software using PySpark and Python Convert proof-of-concepts and feature requests into production ready code. Optimize and transform existing software for speed, reliability, and scale. Integrate state-of-the-art machine learning algorithms as well as the development of new methods Collaborate cross-functionally with data scientists, data engineers, product managers, and other stakeholders to identify gaps and issues in the AI product suite and propose solutions Participate in all phases of the software development lifecycle including design, coding, unit testing, and documentation for both new and existing pieces of software. Mentors, guides, and indirectly leads less experienced Artificial Intelligence Scientist peers Drives innovation by fostering open, high energy, collaborative environment; lead participation in innovation summit and expos, recommend relevant training and conferences for employees to attend, publish paper and patent disclosures Note: The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties, abilities, and skills required of personnel so classified. o Master's or Ph.D in mathematics, statistics, computer science, computer engineering, operations research, or related field o 12+ years experience in data science, machine learning, or software engineering required. o Knowledge of statistical programming techniques and languages (e.g., Python, PySpark) o Working knowledge of common machine learning and deep learning approaches (e.g. regression, clustering, classification, dimensionality reduction, supervised and unsupervised techniques, Baysian reasoning, boosting, random forests, deep learning) and data analysis packages (e.g. scikit-learn, Spark MLlib) o Prior experience with machine learning packages (e.g. scikit-learn, TensorFlow, Keras, PyTorch) and/or optimization pachages (e.g. Pyomo) o Familiarity with time series forecasting o Experience using cloud computing (e.g. Azure, AWS, Google Cloud Platform) o Familiarity with large-scale data processing frameworks (e.g. Apache Spark) and workflow orchestration tools (e.g., MLFlow, Argo) o Solid understanding of data structures, object-oriented software design, and architecture o Ability to work independently and take initiative, but also a co-operative team player Able to telework? Yes Come join the herd! Zebra is an equal opportunity/affirmative action employer committed to a diverse and inclusive workplace All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identify, national origin, disability and protected veteran status or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at workplace.accommodations@zebra.com. Know Your Rights: https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf Conozca sus Derechos: https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRightsSp_10_20.pdf We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Zebra is a federal contractor and is committed to an alcohol and drug free workplace. As a result, all U.S. based employees are subject to the Drug and Alcohol Free Workplace Policy and Procedure. To all recruitment agencies: Zebra does not accept agency resumes. Please do not forward resumes to Zebra employees or any other team members. Zebra is not responsible for any fees related to unsolicited resumes and direct engagement with Zebra employees. Zebra Total Rewards includes more than just pay and is structured to meet the needs of our changing global business and evolving talent. We are committed to providing our employees with a benefits program that is comprehensive and competitive - including healthcare, wellness, inclusion networks, and continued learning and development offerings. We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on the country where you work. Salary:  USD 150400.00 - USD 225600.00 Yearly Salary offered will vary depending on your location, job-related skills, knowledge, and experience. Additionally, all Zebra roles are eligible for cash incentive programs. For example, sales roles have additional opportunity to earn substantial variable compensation tied to quota achievement. In most other roles, the Zebra annual cash incentive program links Company and individual performance together. Some roles may also be eligible for long-term incentive equity awards. To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com email accounts. 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