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Data Scientist, Senior

Company: Zebra Technologies
Location: Salem
Posted on: August 5, 2022

Job Description:

Overview: At Zebra, we're reinventing how businesses operate at the enterprise edge - helping them run faster, smarter, and more connected than ever before. A dynamic community of builders, doers and problem solvers, we each play an outstanding role - crafting new technologies, bringing solutions to market, and participate with Companies on the front line of business. Joining Zebra means making your mark as we make digital transformation a reality. It means growing into a leader at a leading company that makes a distinct difference - because together, we've only just begun. Build Today. Create Tomorrow. Join Zebra. Job Summary: The Data Scientist, Senior position designs, develops, programs and implements Machine Learning Models (Clustering, Classification or Regressions models), Implements Artificial/Augmented Intelligence systems, Performs Statistical Modelling and Measurements by applying data engineering, feature engineering, statistical methods, ML modelling and AI techniques on structured, unstructured, diverse "big data" sources of machine acquire data to generate actionable insights and foresights for real life business problem solutions and product features development and enhancements.The Data Scientist Senior will be a member of a close-knit team of data analysts, data scientists, and software developers analyzing large, multidimensional datasets from internal and external sources. The Data Scientist Senior will develop and apply novel models on customer data in order to help identify areas to increase profits and reduce losses. Responsibilities: + Designs and implementation of Regression based predictive models incorporating diverse data types + Integrates state-of-the-art machine learning algorithms as well as the development of new methods + Partners with experimentalists to translate models into testable hypotheses + Develops tools to support analysis and visualization of large datasets + Identifies meaningful foresights based on predictive ML models from large data and metadata sources; interprets and communicates foresights, insights and findings from experiments + Makes use of Rapid Development Tools (Business Intelligence Tools, Graphics Libraries, Data modelling tools) to effectively communicate research findings using visual graphics, Data Models, machine learning model features, feature engineering / transformations to relevant stakeholders + Analyze, review and track trends and tools in Data Science, Machine Learning, Augmented Intelligence, Artificial Intelligence and IoT space to help in making build/buy/partner recommendations + Interacts with Cross-Functional teams + Evaluates and makes recommendations to evolve data collection mechanism for Data capture to improve efficacy of machine learning models prediction + Mentors, guides,and indirectly leads less experienced Data Scientist peers + Drives innovation by fostering open, high energy, collaborative environment Qualifications: Minimum Qualifications: + Bachelor's in Computer Science, Statistics, Economics, Mathematics, or related discipline. Master's degree preferred. + Strong background in statistics, data science, deep learning and programming necessary. 5+years experience required. + Experience in solving large-scale real-world industry problems, preferably in collaboration with cross-functional, multi-disciplinary teams + Knowledge of statistical programming techniques and languages (e.g., SQL, Python.) + Working knowledge of common machine learning and deep learning approaches (e.g. regression, clustering, classification, dimensionality reduction, supervised and unsupervised techniques, Bayesian reasoning, boosting, random forests, deep learning) and data analysis packages (e.g. scikit-learn, pyclustering, pathways analysis, MLlib) Preferred Qualifications: + Prior experience with Tensorflow + Prior experience in Natural Language Processing using NLTK + Retail industry experience desired + Experience using cloud compute (e.g. Google Cloud Platform, AWS, Azure) + Familiarity with NoSQL databases, graphical analyses, and large-scale data processing frameworks (e.g. Apache Spark) + Solid understanding of data structures, software design and architecture + Ability to work independently and take initiative, but also a co-operative team player Zebra is an equal opportunity/affirmative action employer committed to a diverse and broad workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, ancestry, marital status, age, sexual orientation, gender identity, national origin, disability status, 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. The EEO is the Law poster is available here: https://www.zebra.com/content/dam/zebra/compliance/eeoisthelawposter.pdf. The EEO is the Law poster supplement is available here: https://www.zebra.com/content/dam/zebra/compliance/ginasupplement.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. Salary: USD 88348.80 Yearly - USD 132523.20 Yearly

Keywords: Zebra Technologies, Salem , Data Scientist, Senior, Other , Salem, Oregon

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