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Partner with multi-discipline digital teams (data analysts, data engineers, data scientists, and business product owners) to advance data analytics tools/features (such as predictive/ prescriptive algorithms and machine learning.
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Are you a chemist or chemical engineer who has a passion for developing next-generation formulations and using data analytics and predictive modeling to bring new technologies to market.
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You'll utilize data mining techniques to identify patterns and trends within the data and use these insights to develop real-world evidence and potentially build predictive models for cancer outcomes.
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Sponsorship not Offered for this Role Responsibilities As a Senior Data Scientist, you will focus on leveraging the company's substantial data assets to deliver actionable and meaningful business insights using analytics, predictive models, machine learning, and artificial intelligence.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Responsible for providing advanced data analytics and predictive strategic workforce planning via on-demand, intuitive web-based capabilities and reporting. Experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics.
Full-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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GDIT is looking for a Data Scientist to lead a team providing data analytics and predictive analytics in support of the USCENTCOM J6. The Data Analytics and Predictive Analytics team will deliver, operate, and maintain the end-to-end DAE infrastructure as well as provide a data catalog consisting of discovering, cataloging, accessing, managing, and governing geographically dispersed data, sources, metadata tags, and data analysis functions.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Creative data-driven solutions by employing data science techniques such as operations research, advanced statistics, feature engineering, machine learning/AI, predictive analytics, mathematical modeling, linear and non-linear regression, stochastic modeling, and mathematical optimization.
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Demonstrated experience in statistical and/or quantitative analysis, forecasting, predictive analytics, multivariate testing, outlier analysis and/or optimization algorithms. The Director – Data Engineer position will develop new APIs and web-based products to consume and execute machine learning models.
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Collaborates with business and analytics leaders to generate insights and answer business questions by using analytics techniques such as advanced data visualization, statistical analysis, randomized testing, predictive modeling, forecasting, optimization, and/or machine learning.
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Nice to have You have experience working in a fast paced startup environment Experience with dbt or similar analytics workflow tools a big plus Proven record of writing and optimizing code with high levels of craftsmanship, and coaching others to improve technical outputs IND123.
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Study complex data related to donors, listeners, demographics and psychographics, giving, pledging, website usage, streaming media, social media, contacts, and any other available data, using data mining, data modeling, machine learning and predictive analytics and other techniques, seeking out useful, actionable information, both positive and negative, reporting findings to management.
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Dynamis is seeking a Data Scientist to support Homeland Security Investigations (HSI), in Northern, VA by bringing together theory and practice to identify and communicate data-driven insights that allow managers, stakeholders, and other executives in an organization to make more informed decisions on concepts of probability theory, statistical modeling, data visualization, predictive analytics, and risk management.
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Data-driven Marketing Strategies: Utilize advanced analytics and predictive techniques to analyze large volumes of customer data, including demographic information, transactional data, online behavior, and social media data.
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The Senior Data Scientist will be responsible for the development and implementation of predictive modeling algorithms and techniques to solve complex business problems and optimize member experiences.
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Master’s degree in computational linguistics, data science, data analytics, or similar will be advantageous. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
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