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This person will work with Field Sales and understand all of their specific customer demand drivers and utilize predictive modeling with causal factor inputs to ensure the most accurate volume forecast is captured in the Integrated Business Planning system at the customer/product level.
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As a Senior 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.
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In order to be considered for this position, you must have a Ph. D with a degree in Bioinformatics, Epidemiology, Human Genetics, Statistical Genetics, Biostatistics, Statistics, Computer Science, or Physics and 5 years with hands on experience.
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Technical Skills: Proficiency in demand planning and forecasting tools (e.g., Kinaxis, SAP IBP), and experience with data analytics tools (e.g., DXCon, Shareville, Smartsheet). This role will act as a central point of contact between Zone Demand Planners and Business Line Integrated Business Planning (IBP)/Supply Chain Management (SCM.
$170,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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With our business reach, we cover satellite television service, live-streaming and on-demand programming, mobile plans and products, smart home installation services and, now, we are building America’s First Smart Network.
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Experience should include assisting in performing social psychology, and social economics research, and interpreting pertinent information and transforming research into statistical literature for data and social psychology research methodology.
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Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products and now we are building America’s First Smart Network.
$22.25 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Market Analysis: Conduct thorough analysis of the ERCOT market, including supply and demand forecasts, price trends, and market fundamentals. We are seeking an experienced ERCOT trader with a proven track record.
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As a Data Science Intern on the Data Platform National Team, you will under close supervision, develop quantitative models and statistical analyses for insurance risk modeling. Perform basic quantitative modeling and statistical analysis in order to assess risk and viability of risk mitigation solutions.
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This will be a full time position based in Stamford, Connecticut, reporting into the Head of Power & Gas. You will support the growth of our business whilst owning the following responsibilities:Market Analysis: Conduct thorough analysis of the ERCOT market, including supply and demand forecasts, price trends, and market fundamentals.
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Monitor and oversee all donor information; maintain donor database, execute prompt receipt and acknowledgement of donations including in-kind donations and drives, and provide statistical analysis and reporting to staff and Board of Directors.
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Functional configuration and design experience with SAP IBP , specifically experience with at least one of these modules - SAP IBP Demand Planning, SAP IBP Response & Supply, SAP IBP Inventory Optimization, or SAP IBP Sales & Operations Planning.
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Create marketing materials and collateral to support client interactions and presentationsDevelop lead capturing promotions for email marketing, workflow development and campaignsDrive and leverage all relevant channels to drive brand and demand: ad campaigns, press releases, trade publications, retail websites traffic, content marketing, thought leadership, videos, webinars, workshops, seminars and other events.
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Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Infinite, Boost Mobile, DISH Wireless, OnTech and GenMobile. 4-day work week with opportunities to work overtime. As a technician, we will train you to lead the charge for a world-class customer experience, educating and connecting more Americans with every home you visit.
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Technical environment: statistical and coding tools (SAS, R, Python); machine learning model development (gradient boosting machines, support vector machines, decision trees, regression techniques); structured databases; analysis and manipulation of complex and high-volume credit data from varying sources; T-SQL; AWS redshift; Tableau.
$80,000 - $107,127 a yearFull-timeExpandUpdated 1 month ago
demand statistical jobs in Armonk, NY
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