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Experience in Digital Finance technologies, including RPA, Predictive Forecasting, Finance Analytics, NLG, data visualization. RPA, Finance Analytics, NLG, Predictive Forecasting models.
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Proven track record in Assessing Finance and Accounting functions, and implementing Digital technologies to improve efficiency and transparency in at least one of the following areas: RPA, Finance Analytics, NLG, Predictive Forecasting models.
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Examples include neural network-based demand forecasting for one of the largest food manufacturing companies in the world, predictive maintenance on equipment for a top oil & gas company, and supply chain optimization solutions for manufacturing companies.
$125,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Complete proficiency in understanding financial models, data analytics, and presentation skills. Expertise in building Predictive Forecasting Models. Strategic Analytics & Planning.
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CPA, CFA, MBA, or Master's Degree Preferred but not Required. 2-4 years of experience related to: Accounting / Finance, Financial Due Diligence, Restructuring, Investment Banking or Private Equity. Digital Finance Transformation Expertise and proven implementation experience.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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A&M's Private Equity Performance Improvement Services (PEPI) practice works with private equity held portfolio companies and provides our clients with solutions to preserve and generate value for their businesses.
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Experience in machine learning, big data analytics, data science, and cloud computing is a plus. The C3 AI Platform supports the value chain in any industry with prebuilt, configurable, high-value AI applications for reliability, fraud detection, sensor network health, supply network optimization, energy management, anti-money laundering, and customer engagement.
$123,000 - $189,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Alvarez & Marsal Private Equity Performance Improvement. Liquidity & Working Capital Optimization. Graduate of accredited 4-year college / university with educational concentration in relevant areas (accounting, finance, economics) preferred but not required.
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Over 12 years of experience related to: Accounting / Finance, Financial Due Diligence, Restructuring, Investment Banking or Private Equity. Finance & Accounting Process improvement expertise & process automation.
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Experience or coursework in advanced analytics such as analytic discovery, descriptive statistics, forecasting, experimental design, statistical inference, or predictive models. Experience with analytical / statistical programming tools for data extraction and summarization, statistics, visualization and analysis (Alteryx, SAS, SQL, R, Tableau, etc.
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Minimum RequirementsCompetencies and Knowledge:For all levelsExperience with analytical / statistical programming tools for data extraction and summarization, statistics, visualization and analysis (Alteryx, SAS, SQL, R, Tableau, etc.
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Knowledge of machine learning, data mining, and predictive analytics. With general guidance from the Department Manager, the Business Intelligence (BI) Developer II contributes to efforts within the Department of Operations Research & Analytics (DORA) to advance the organization’s use of data and information.
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Develop, test, deploy, and help monitor analytics products and predictive models including data engineering, data analysis, and AI/ML/NLP. 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.
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Advanced Analytics - Demonstrated proficiency in implementing advanced analytics solutions within Snowflake, including forecasting, predictive modeling and anomaly detection, leveraging Cortex AI.
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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.
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