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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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Remote Predictive Analytics Snowflake Integration consultant Part Time or Full time. CapB is seeking a Predictive Analytics Snowflake Integration consultants for its ongoing project.
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Experience: Required 10+ years’ experience in analytical role using or leading teams to conduct predictive analytics, advanced statistical techniques, and modeling. This role will provide strategic oversight, leadership and direction within the EDA division and leads the team(s) responsible for data and technology management to support and enable Renown Health processes including business partnership, data integrity, data acquisition, statistical modeling, reporting, self-service analytics, and applied data science.
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The FIS Controls Specialist ensures that the FIS provided data is accurate and reliable in order to enable the usage of Predictive Analytics. The FIS Controls Specialist supports the ME organization with the development of Predictive Analytics Systems.
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Defines advanced analytics, M/L and AI project objectives, collaborates with the business for requirement, defines metrics and measures of effectiveness, and expected outcomes; identifies and/or develops innovative and effective approaches and methodologies; applies advanced operations research and data science techniques for quantitative analysis, statistical analysis, forecasting, predictive modeling, prescriptive analysis, and optimization; and validates analysis and outcomes.
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You will leverage a range of techniques such as geospatial clustering, network analysis, location-based optimization and predictive analytics/modeling. with applications in machine learning Data management skills (e.g. data modeling, data integrity QA/QC, querying, analysis) Data science programming/coding in Python and/or R including use of spatial libraries/packages (eg GeoPandas, Rasterio, GDAL/OGR, Terra) Business Intelligence/data visualization platforms such as Tableau, Power BI, etc.
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Analyzing large data sets from multiple data sources; Marketing analytics, clinical trials, or health research; Machine learning, statistical analysis, or predictive modeling; Programming in R, Hadoop, or Python; SAS or SQL programming languages; Visualization tools, including Tableau or.
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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. Programming languages may include-but are not limited to-SAS, Python, R, SQL, Java, or MATLAB.
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Ignite is seeking a Geospatial Intelligence (GEOINT) Integrator / Data Scientist to support the development of analytic methodologies oriented toward enabling the statistical analysis, predictive modeling, and data visualization objectives of an intelligence community client.
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Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
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Data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics. Developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as to develop statistical tests to make data-driven recommendations and decisions.
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Familiarity with analytics platforms like MicroStrategy or similar tools, especially those involving data modeling for predictive analytics. Engage in professional development to grow skillsets such as Python, R programming, machine learning techniques, and data science applications, contributing to the organization's growth and innovation in the jewelry industry and beyond.
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You will analyze marketing programs and results, use predictive analytics and machine learning to create value from data, and drive strategic analytics initiatives forward. Strong experience with open-source statistical programming tools (Python/R) for analysis and data visualization.
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Experience developing closed form analytic tools and techniques, and application of descriptive and predictive analytics (scripts for dedicated applications, examples on Github a plus) Minimum 4 years of experience working with a high-level programming language such as R, Python, SAS, Matlab.
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A minimum of three years of developing data analytics, machine learning models (predictive models, classifications, cluster analysis, time series and forecasting, regularization, feature selection, NLP, computer vision, anomaly detection, etc.
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