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A broad understanding of analytical processes including but not limited to data management, forecasting, optimization, predictive modeling, and visualization. Newell Brands (NASDAQ: NWL) is a leading global consumer goods company with a strong portfolio of well-known brands, including Rubbermaid, Sharpie, Graco, Coleman, Rubbermaid Commercial Products, Yankee Candle, Paper Mate, FoodSaver, Dymo, EXPO, Elmer’s, Oster, NUK, Spontex and Campingaz.
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Previous work experience in database marketing, data mining and predictive modeling (Work experience or projects). Previous experience with database marketing, data mining and predictive modeling, various analytical software platforms, would be beneficial to validate experience with data driven methods, but are not essential.
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Knowledgeable in statistical and machine learning methods (e.g., NLP, deep learning, predictive modeling) Leverage data science and machine learning to develop predictive models and algorithms to enhance product experience and business decision-making.
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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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You have 2-5 years of successful technical experience in the domain of predictive analytics (e.g. data science, machine learning, data mining, and statistics related work); preferably in the Oil & Gas industry.
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Systems Engineering, Software Development, Database Design and Engineering, Data Analytics, Semantic Web, Ontology Development, Research and Development, Big Data Processing, Predictive Analytics, and Cloud Infrastructure Expertise.
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Experience with data modeling, statistical analysis, and predictive modeling techniques. Strong proficiency in SQL, Excel, and data visualization tools (e.g., Tableau, Looker, PowerBI.
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Develop, implement, and optimize machine learning models to detect money laundering, fraud, and other financial crimes, leveraging techniques such as anomaly detection, clustering, and predictive modeling.
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Proficient in data modeling, statistical analysis, and predictive modeling techniques, alongside a strong understanding of data visualization best practices and design principles. Proficiency in data modeling principles and techniques, statistical analysis, and predictive modeling techniques.
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Walmart Connect is seeking an experienced data science leader to enable deep insights and capabilities to our clients through advanced analytics and machine learning techniques (e.g. predictive modeling, optimization, segmentation.
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Experience working with transaction monitoring, sanction screening or KYC technologies, with knowledge of financial crime compliance regulations and methodologies, including anti-money laundering (AML) and know your customer (KYC) requirements.
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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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NewLimit is seeing an outstanding data scientist to join our Predictive Modeling or Single Cell Genomics teams. Coordinate with Epigenetic Editing, Single Cell Genomics, and Predictive Modeling teams to design, analyze, and interpret biological experiments utilizing single-cell multi-omics data.
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Be fluent working with large, complex medical claims data using analytics technologies (SQL, SAS, Python/Pyspark, Databricks, Microsoft Azure, PowerBI) and analytics methodologies (exploratory/descriptive analysis, predictive modeling, causal outcomes research, and data visualization.
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Excellent understanding of data mining, predictive modeling, and data visualization. As a data scientist, you will develop predictive modeling / machine learning solutions to complex business problems and create value to the business.
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