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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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Masters/Ph. D. in one or more of the following areas: Data Science, Computer Science, AI, Statistics, Applied Mathematics, Operations Research, Computer/Electrical/Electronic Engineering or related fields of study.
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We're hiring generalist software engineers to work on web applications, data mining, machine learning/data science, data transformation/ETL, data modeling, database scaling, infrastructure, devops, and more.
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Use data science and machine learning to develop effective predictive models. Use data analysis and visualizations (examples include Looker, Jupyter Notebooks, Python, Pandas, and R) to inform the business strategy.
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We are seeking an experienced data science individual contributor to enable deep insights and capabilities to our clients through advanced analytics and machine learning techniques (e.g. predictive modeling, segmentation, etc.
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We are particularly interested in applicants who have made and will continue to make significant contributions to either the modeling, representation, retrieval, integration, visualization, and/or analysis of spatial data.
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The Lead Data Scientist will focus on staying up to date with available modeling and analytical techniques and ensuring the appropriate techniques are applied to R&D initiatives. This position is an excellent opportunity for an individual to contribute to the digital initiatives and data science projects supporting R&D.
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Proficiency in advanced analytics techniques such as data mining, predictive modeling, machine learning, and artificial intelligence. This role involves leading initiatives that harness advanced statistical techniques, data analysis and predictive modeling to gain insights from data and drive business solutions.
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Statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
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MA/MS preferred in Public Policy, Economics, International Relations, Quantitative Social Science, Statistics, Applied Mathematics, Operations Research, or related fields. Applying artificial intelligence, machine learning, and data mining techniques to national security-relevant problems.
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Advise on programmatic trading concepts, use of predictive models, and coordinate with Data Science on client inquiries related to modeling. Internally, this position will collaborate with various stakeholder groups (Client Services, Product, Data Science, Partnerships, & Sales) to evolve internal processes designed to maximize client satisfaction and scale a rapidly growing line of business.
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Participate in the end-to-end data science lifecycle from problem definition to model implementation. Use AI algorithms and predictive modeling to create dynamic optimization models that can quickly adapt to changing market conditions and customer needs.
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Partners with data science teams to understand data requirements, performs data discovery for model development. Partners with data science teams to review model ready dataset document/feature documentation.
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As a member of the team, candidate will work in a multi-tasking, quick-paced, dynamic, process-improvement environment that requires experience with the principles of data science, data modeling, data mapping, data testing, data quality, and documentation preparation.
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You will be responsible for creation, test, and deployment of next-generation data science and optimization tools within our content distribution display advertisement platform running billions of real-time transactions per day.
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modeling data science jobs
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