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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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Experience with using Databricks to perform data transformations or modeling. You'll analyze algorithms, write scripts, build predictive analytics, use automation, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help military leaders make informed decisions.
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Working knowledge of program evaluation/outcomes research methods , predictive modeling and data mining. Predictive modeling to answer “what will happen next?” He/she is expected to have fundamental understanding of different statistical modeling techniques, economic evaluation concepts, and general health service research.
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Strong technical and consultative experience managing ESI through the EDRM including staging, processing, culling, email threading, clustering, communication analysis, machine learning, predictive modeling, etc.
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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy.
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Experience using data analytics to understand and make data informed decisions through the use of descriptive statistics, predictive modeling, data visualization, etc. 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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The firm are looking for a Data scientist with advanced expertise in statistical modeling, predictive analytics, and Machine Learning. Proficiency in Python, R, SQL. The firm are looking for a Data scientist with advanced expertise in statistical modeling, predictive analytics, and Machine Learning.
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Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Demonstrating a thorough level of knowledge in statistical modeling, algorithms, data mining, and machine learning algorithms problem solving.
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Ideal candidates for this position will have 3-6+ years of professional experience in NLP systems and predictive modeling. Principal Data Scientist (Media AI/LLM Research) Ideal candidates for this position will have 3-6+ years of professional experience in NLP systems and predictive modeling.
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Background in data mining, predictive modeling, simulation, and/or project management. Become a part of our caring community and help us put health first. Background in data mining, predictive modeling, simulation, and/or project management.
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Understands pricing components and rating methodology as well as use of the predictive modeling tools; prices risk based on financial and competitive analysis. CNA’s Commercial Middle Markets team provides standard lines commercial property and casualty insurance products such as General Liability, Property, Inland Marine, Commercial Auto, Workers' Compensation, and Umbrella to businesses of all sizes.
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Predictive Analytics : Utilize predictive modeling techniques to forecast company performance and provide business insights. Technical Skills : Proficiency in data analysis tools and programming languages such as SQL, Python, or R. Experience with data visualization software like Tableau, Power BI, or similar.
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Provide technical leadership and subject matter expertise in the design and execution of program evaluations, economic analyses, advanced statistical modeling, and policy analysis. Experience leading, as Principal Investigator or Project Director, multi-year program evaluations with a budget exceeding $3 million, preferably for federal HHS programs, including those at CMS.
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Ability to work independently and provide guidance and leadership to junior team or project members, with strict adherence to QA/QC.Proficiency with technical writing, office automation, discipline-specific design software (i.e., AutoCAD, Revit), technology, math principles, predictive models, spreadsheets, and tools.
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3+ years experience with pattern recognition and predictive modeling. 3+ years experience with deep learning frameworks, and with programming languages such as Python, R, MS SQL, MySQL, NoSQL, MongoDB, Tableau, Hadoop, Spark, and basic libraries (such as scikit-learn and pandas.
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predictive modeling jobs in Alexandria, VA
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