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The Company creates quality books and ebooks, print and technology-based learning programs for pre-K to grade 12, classroom magazines and other products and services that support children's learning both in school and at home.
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San Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning Engineer. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning Engineer.
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As a Machine Learning Engineer, you'll be responsible for designing, developing, and managing the platform and framework that facilitates automated, data-driven decision-making. Understanding of statistical, machine learning and deep learning algorithms.
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Hadoop, HDFS, Teradata, snowflake, AWS cloud, Hive) Solid understanding of advanced statistical methods and machine learning techniques: GLM/Regression, Random Forest, Boosting Trees, Neural Network, Clustering, KNN, Anomaly Detection etc.
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The Staff Data Scientist will contribute to the performance analysis of SoFi products using empirical measurements, develop quantitative and machine learning models to forecast losses and provide insights on the drivers for losses.
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You will also partner closely with other capability leaders, influence and guide the ML Operations team, and explore new technologies such as machine learning, artificial intelligence, cloud computing, and Big Data.
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Opportunities: Competitive production-based compensation (base pay + production bonus)Association with the leading clinician practice in the countryAccess to TeamHealth's clinician wellness program and referral programIndustry leading onboarding program with EMR, MIPS, billing and coding training, and support from experienced clinical educatorsDeveloped infrastructure with extensive back office support as well as local managementInterested in learning more.
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The required seven (7) years of experience must have involved experience with SAS, R, or Python, and statistical modeling in the consumer lending or credit card industry using predictive modeling methods such as logical regression, survival analysis, and machine learning method.
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Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience with AWS services like Lambda, EC2, EMR, Redshift, Glue, S3, IAM, RDS, Aurora, DynamoDB etc.
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Along with the Graduate Medical Education Committee (GMEC), provides oversight of the following: accreditation status of the sponsoring institution and each of its accredited programs; quality of the GME learning and working environment within the sponsoring institution, each of its accredited programs, and its participating sites; sponsoring institutions and each accredited program(s)' annual program evaluation and self-studies (where appropriate.
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Plan, organizes, and instructs courses as assigned by the Department Chairperson/supervisor, utilizing effective and engaging instructional strategies, the learning management system (LMS), appropriate communication, classroom management, leadership skills, and instructional/educational technology to promote student success.
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We have openings for warehouse associate, assembly, production, forklift order puller, forklift, machine operators, maintenance mechanics, receptionist, data entry, Contact Center Scheduler, customer service, concierge representative, insurance, sales, substitute teaching, collections, call center, administrative assistant, accounts payable clerk, accounts receivable clerk, file clerk, contact center agents, and office managers.
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Ability to work with various types of equipment such as computer, Credit Card Authorization machine, projector, copier, scanner, other office equipment, telephone, two-way radio. He believes in the principles of non-directive management, leadership and learning.
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Leverage traditional regression model and machine learning algorithm to understand the key drivers and estimate customer behaviors by different strategy treatment. Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company.
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The Sr. Research Investigator in Computational Biology and Data Science will provide advanced analytical, bioinformatics, and machine learning support for Translational and Discovery projects in Translational Medicine.
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machine learning jobs Title: portfolio in Wilmington, DE
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