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Experience in statistical detection of potential healthcare fraud and abuse, using tools, such as predictive modeling, development of mathematical models, neural networks, healthcare data analytics, and data mining.
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Experience in any of the following programming languages: Python, R, MATLAB, Java, C. 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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Proficiency in programming languages such as R, Python, or SAS, and experience with AI and ML techniques for predictive modeling and data analysis. 7+ years of experience in quantitative modeling, risk analytics, data science or related field, with a strong background in credit risk modeling, CECL, and stress testing.
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The successful candidate will utilize quantitative and qualitative modeling techniques, statistical analyses, and various analytics tools to provide actionable information to aid in decision making.
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As a Product Developer, you will play a crucial role in designing, developing, and implementing innovative products and solutions that leverage React JS, NodeJS, Python programming, machine learning techniques, and NVIDIA products.
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Familiarity with data security principles and practices· Experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis tools (e.g., R, Python). · Hands-on experience with data warehousing, data lakes, and analytics platforms (e.g., Snowflake, Redshift, BigQuery.
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Data science, machine learning, optimization models, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, using open-source frameworks (for example, scikit learn, TensorFlow, torch.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
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Our industry-recognized team is in high demand across data analytics, robotic process automation, and artificial intelligence. This role will perform hands-on delivery of solutions that include artificial intelligence (AI) and cognitive services, ML models, pipelines, databases, and other data analytics components, contributing to the development and unit testing of solutions.
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The adjacent areas of major focus are Machine Learning Infrastructure and workflow, Experimentation Platform, Knowledge Graphs and various Data Science and Analytics related tooling.
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Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics. Software engineering with data analysis software such as R, Python, SAS, or MATLAB.
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Job Summary:With a global network serving clients across multiple industries and countries, our analytics game changers are poised for widespread technological impact. Whether you’re telling a data story in ways our clients never imagined or building advanced AI models with automated data engineering, the core purpose will be centered on using data to impact people in a meaningful way.
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Helping to provide industry insight and analytical support using data mining, pattern matching, data visualization, and predictive modeling, leveraging Python; Performing data analysis, including inspecting, cleansing, transforming and modeling for enabling data mining, using SciPy, scikit-learn, pandas, TensorFlow, Region-based Convolutional Neural Networks (R-CNN), OpenCV, Bidirectional Encoder Representations from Transformers (BERT), and Natural Language Toolkit (NLTK); and.
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Deep expertise in one or more of the following areas: mathematical & statistical modelling, atomistic simulation, multiparameter optimisation, machine learning, computational chemistry, quantitative structure-activity relationships (QSAR) modelling.
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As a vital AI infrastructure for the company, our machine learning system integrates our most up-to-date R&D results in AI algorithms and systems. Golang, Python;•Experience contributing to the large scale systems, multi-tenant systems (architecture, reliability and scaling);•Experience contributing to GPU architecture, GPU cluster;•Familiar with Kubernetes / Kubeflow / YARN / Mesos orchestrations;•Familiar with at least one deep learning framework (TensorFlow, PyTorch, MXNet, or other);•Familiar with the front-end and back-end technologies, such as Django / Flask / NodeJS / React, etc.
$194,750 a yearFull-timeExpandApply NowActive JobUpdated Today
machine learning predictive analytics r python jobs Title: associate Company: Inc in Raleigh, West Virginia
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