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Demonstrated experience in cancer genomics and omics data analyses, including experience with developing pipelines for next-generation sequencing data analysis and QC. Excellent programming skills (including R, Python, SAS) and deep-knowledge for statistical analysis and machine learning.
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Preferred Qualifications:Excellent communication and presentation skillsExperience with Supply Chain Management Systems (e.g. ERP, WMS, TMS)Experience with business intelligence tools (e.g., Tableau) and data frameworks (e.g. Hadoop)Familiarity with cloud computing services (AWS, Azure, GCP)Knowledge of GenAI, machine learning, predictive analytics or similar role in supply chain management.
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Research experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms. Use your data science, machine learning, and/or computer science skills to conduct research and contribute to solutions to technology and business problems.
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Driven by data science and powered by machine learning, our offering analyzes officer performance data in order to identify potentially problematic behavior. Assist experienced data scientists in constructing, enhancing, and validating machine learning and statistical models relating to law enforcement risk and effectiveness measurement.
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As an integral member of the Talent Management team, the Learning and Development Manager is responsible for representing and serving the needs of our agency business unit globally. We use our data-driven integrated marketing and manufacturing platform to streamline solutions for our clients, reduce friction and enhance their marketing spend effectiveness.
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The HR Business Partner plays a critical role in supporting and mapping strategic priorities and operational functions in areas such as client-group short and long-term strategic plan and priority design and execution, employee engagement, talent management, workforce planning, policy interpretation, data analysis and employee relations.
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We seek instructors with professional experience in data science and analytics, who can teach in areas relevant to data science including data visualization, multivariate statistics, time series analysis, predictive modeling and machine learning.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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The Business Analyst partners with the appropriate business stakeholders and the Program Manager to prioritize and create a project roadmap for their assigned area - which for this position will focus on HRIS/HCM, Applicant Tracking Systems (ATS) and Learning Management Systems (LMS.
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Conagra Brands seeks experienced and driven technologists with a robust blend of business acumen, strong interpersonal skills, and technical expertise in analytics, big data, machine learning, and generative artificial intelligence.
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They use proven educational models for social-emotional learning, personalized learning, and data-driven differentiated instruction in a culturally-sensitive manner. Differentiate curriculum, instruction, and individualized learning plans to meet individual student needs.
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You will be part of a global data community and you will work in cross-functional and agile project teams alongside Data Product Managers, Data Stewards, Data Scientists, Machine Learning Engineers, Data Engineers, and executives to improve the experience of guests and colleagues worldwide.
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We are hiring a Principal Data Scientist with deep expertise in machine learning and AI and experience in developing production quality solutions which deliver a huge business impact. Partners with diverse Microsoft teams to identify and explore opportunities for the novel application of machine learning (ML) and other data-science tools to above industry.
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Certifications in AI, machine learning, or data science. At least 2 from the following: Statistics and Probability Theory, Regression Modelling, Clustering Methods, Deep Learning, Neural Networks, Natural Language Processing, Text Mining, Computer Vision, Image Recognition, Time Series Forecasting, Machine Learning Visualization Tools, Tree Ensembles.
$220,400 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Data-driven, evidence-based learning and instructional models, including SESI’s own positive behavioral interventions and support (PBIS) framework called CASE.An attractive and robust suite of benefits, including comprehensive healthcare benefits, 401(k) with employer match, employee assistance program, mental health support, fertility and family building, and more.
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data learning jobs in Evanston, IL
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