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Previous experience with data modeling and ETL processes, including using SQL Server and Alteryx. Using tools like Alteryx and SQL Server Management for data mining and exploration.
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Prior advanced skills in Microsoft Excel, SQL, Alteryx, PowerBI, applied business statistics, and general modeling. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.
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This position requires a Bachelor's degree in Statistics, Mathematics, Engineering, Management Information Systems, or related field plus 7 years of experience in Marketing Analytics, Data Science, or a related role.
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As an Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
Full-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Bachelor's Degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related field with a focus on analytics with working knowledge of modeling (regression, machine learning, feature selection, dimension reduction, validation), data (extracting, preparing, munging, validating), and building analytics pipelines.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Demonstrating exposure to modeling methodologies in at least one of the following areas: credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics areas; and.
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Master's degree (or higher) (or foreign education equivalent) in Engineering, Statistics, Data Science or a related field plus one (1) year of experience as a Data Analyst or a related occupation performing advanced analytics using predictive modeling and machine learning algorithms.
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Python, Alteryx, Power BI, Data Visualization, C. Work within an Analytics Center of Excellence comprised of data professionals in a data pre-processing capacity ensuring the information at hand is ready for upstream modeling, and downstream reporting and analytics.
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To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. Experience in accounting for manufacturing or technology companies with global sales.
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Business Acumen, Data Preprocessing, Data Science, Innovation, Machine Learning, Market/Industry Dynamics, Predictive Modeling, Programming, Statistics. Experience with Alteryx, Snowflake, Tableau, Adobe Marketing Cloud, Google Analytics, and Salesforce.
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Minimum of 5 years' experience working with Alteryx, PowerBI, Tableau or equivalent tools for data preparation, blending and automation. Bachelor's degree in computer science, information technology, math, statistics, or related field.
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Required Proficiency in utilizing low code/no code tools such as Alteryx, Power Bi and or Tableau. Experience in Alteryx or equivalent tools for data preparation, blending and automation.
$112,000 - $160,400 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with data analysis tools such as R, Python, SQL, Alteryx, Tableau, Looker preferred. 5+ years of relevant experience with focus in Data Science, Operations Research, Industrial Engineering, or Statistics preferred.
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Must have 3+ years actuarial experience with financial valuation, modeling, cash flow analysis in the insurance or reinsurance industry. Experience with workflow tools like Alteryx, or scripting language like Python a plus.
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C#, SQL, Tableau, Alteryx, and Excel Macros / VBA /JS; Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science. Displaying understanding of advanced AI/machine learning, statistical/econometric modeling techniques, and financial engineering methods to develop and/or validate models (Masters-level coursework in at least one of these subject areas is preferred.
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