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The Data Scientist works closely with Retail Technology, Media and Account Services teams to provide predictive modeling of Marketing, Direct & Digital Efforts. Responsible for assisting the Lead Data Scientist and the data science team with building solution accelerators, pipeline development, and building integrations with our LLM Products on the Databricks platform.
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Querying, algorithms, data engineering, natural language processing, engine recommendation, experimentation, programming, data storytelling and intelligence, predictive modeling, and machine learning.
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In collaboration with surgeons, physicists, and engineers, the Data Scientist will contribute to research and translation of data science, multidimensional data analysis (including medical images), predictive modeling, and clinical outcomes.
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Bachelor's Degree or higher in one of the following fields: computer science, mathematics, physics, statistics, or another computational field with a strong background of using machine learning/data mining for predictive modeling or time series analysis.
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As Strategic Data Scientist and Business Intelligence Generalist IV in the Strategy Development Office within the Corporate Strategy department, you will have the opportunity to utilize various data channels and sources to influence and guide the direction of DTNA’s strategic program (GO2030) and beyond.
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Utilize proper tools to clean customer data, like PySpark, R, Python, or Excel, to prepare for upcoming data analysis or modeling exercises. Develop cutting-edge machine learning algorithms, complement to our proprietary modeling platform, to extract greater lift from our data and provide more value for the customers.
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Center 3 (19075), United States of America, McLean, VirginiaPrincipal AssociateData Scientist,AML Modeling and Advanced Data Insights. 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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We are looking for a Senior Data Scientist who will design studies and utilize cutting-edge predictive modeling techniques, test rigorous hypotheses, and turn data and insights into actionable plans.
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The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions.
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The scope of our work includes forecasting, predictive modeling, designing business experiments, and ROI studies. Being part of a talented team of Data Scientists with broad skills and applications, the Senior Data Scientist will work cross-functionally and collaboratively with teams across the enterprise through innovative machine learning, R&D, and cutting-edge platforms.
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Modeling and Advanced Data Insights. We develop predictive models, monitoring dashboards, and reporting using tools such as AWS, Snowflake, Python, R, and Spark. At least 2 years of experience in AML modeling or related fields (e.g. Fraud, Risk, CCAR, Liquidity, etc.
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The Senior Data Scientist creates reports, projections, models, and presentations to support business strategy and tactics. The Senior Data Scientist work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.
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The Senior Data Scientist develops, maintains, and collects structured and unstructured data sets for analysis and reporting. Demonstrated experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors with Python, R, SAS, SQL, MATLAB, DataRobot or similar statistical and scripting tools.
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Senior Data Scientist. Experience in Big Data environment specifically PySpark and/or Databricks. PhD in a quantitative discipline, such as Computer Science, Data Science, Mathematics or Statistics and/or related quantitative field.
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Experience developing and validating machine learning and statistical forecasting models or predictive models, including Random Forest, Gradient Boosting, Neural Networks, cluster analysis, regression analysis, time series, and forecasting.
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