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Proficient in analytics and visualization platforms (Funnel.io, Looker Studio, Power BI, Tableau) and experienced with advertising networks (LinkedIn, Meta, programmatic networks) and their APIs. Advanced knowledge of statistical analysis, machine learning algorithms, and predictive modeling techniques.
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The purpose of the Analyst, Predictive Modeling position is to analyze data to drive better business decisions, including: Pricing and credit risk, loan servicing strategies, business policies, processes, and performance, and champion/challenger tests.
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We create open-source solutions that collect, reconcile, transform, and standardize data for business intelligence, predictive analytics, decision support, and user transactions. Ability to uncover data-driven insights using statistical analysis or predictive analytics.
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Serve as a subject matter expert to the broader organization around on how to best build predictive modeling in the context of forecasting and pricing. We're on the lookout for an accomplished Staff Data Scientist to join the Data Engineering & Analytics team at StubHub. In this role, you'll play a pivotal part in crafting and deploying cutting-edge machine learning models that drive business and operational choices within StubHub's dynamic ecosystem.
$240,000 - $350,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Conduct prospect pool analysis utilizing wealth screening and predictive modeling tools. Schultz & Williams provides comprehensive services including development consulting, direct response consulting and execution, interim staffing, strategic planning, data analytics, operations consulting, and marketing to nonprofits of all varieties across the nation.
$70,000 - $80,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, or computer programming to large data sets. As a Data Scientist on the Collateral Modeling and Analytics team at Freddie Mac, you will join a group of skilled professionals who use data science to solve important business problems.
$114,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent field.
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Lead the exploration and implementation of advanced analytics techniques, including predictive modeling, machine learning, and AI, to discover new opportunities and optimize operations.
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The role also requires a general knowledge of predictive modeling, ability to build statistical models using common data science languages like R or Python, and an eagerness to learn new techniques and tools.
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Skilled in data mining, predictive modeling, and machine learning algorithms. The Analyst, ROC Business Analytics is a professional with a technology bias and Epic Systems expertise that demonstrates strong quantitative skills, business acumen, and communication.
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Experience in one or more of the following areas is preferred: Electric grid automation and/or control of power electronics, control for utility applications, predictive analytics with data modeling and evaluation.
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Design and lead advanced analytics and data science projects in support of enterprise strategy, marketing, and business development efforts including product demand forecasting, customer and market segmentation, decision modeling to support (strategic and tactical initiatives), predictive modeling of customer and market behavior.
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Experience with data analytics (e.g. descriptive statistics, predictive modeling, data visualization), and this can include significant academic projects. Our support across our client base is expanding rapidly and encompasses important services, such as data analytics and visualization, threat analysis, risk management, modeling and simulation, cost estimating, earned value management, program management, system engineering, independent evaluation, and High Consequence Event prevention.
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Collaborate with the Predictive Analytics team on modeling projects. Analyze the impact of crash-avoidance technology on Auto insurance claims. ACAS or FCAS credential required.
$129,000 - $163,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Interest in pursuing the ACAS and FCAS credential from the Casualty Actuarial Society. As an Actuarial Analyst II, you will collaborate with other actuaries and colleagues across the company to solve important business problems.
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