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Proficiency in analytical software and tools including Python, SAS, R, SQL and other applications, such as Microsoft Excel/VBA and Access; Demonstrating proficiency in analytical software and tools including Python, SAS, R, SQL and other applications, such as Microsoft Excel/VBA and Access.
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Programming Languages: Python, R, or similar for AI and machine learning development. Proficiency in Python, R, and other programming languages for developing machine learning models. We are seeking a Consultative Computational Biologist with expertise in AI and data analytics to serve as a consultative strategic advisor and technical expert for decision-makers.
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Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools. entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers.
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Advanced Python skills for backend logic, machine learning integration, and enhancing chatbot capabilities. Experience with ML models (e.g., TensorFlow, PyTorch, Keras) and NLP libraries (e.g., spaCy, NLTK, GPT-3) for improving chatbot accuracy and contextual understanding.
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Applying expertise in multiple modeling methodologies including survival analysis, transition rate modeling, time series analysis, credit scoring, Monte Carlo simulation, Artificial Intelligence/Machine Learning techniques such as neural networks and tree based algorithms etc.
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Design and develop full stack mobile applications focused on health data collection, patient engagement, and digital therapeutics, using Flutter, Google Cloud Compute, Firestore, Amazon Web Services, and Python (including Flask.
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Keywords: Data Engineer, Data Developer, Data Manager, Pyspark, Python, Apache Spark, Azure, Azure Data Lake 2, Azure Data Factory, Spark, Databricks, Python, Spark SQL, Data Lakes, Data warehouse, Data Pipelines, Agile Methodology, Data Processing Pipeline, Troubleshooting, Automation, Unit testing, Integration Testing.
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Strong scripting skills, often using languages like PowerShell, Python, or Shell scripting, to automate tasks and customize CyberArk solutions. Possession of relevant CyberArk certifications such as CyberArk Certified Delivery Engineer (CDE) or CyberArk Certified Trustee (CTP) can be a significant advantage.
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Programming: Proficiency in Python, SQL, and other programming languages for data engineering. Advanced ETL/ELT Knowledge: Extensive experience with ETL/ELT frameworks such as Informatica, Talend, DBT, Apache Airflow, Matillion, etc.
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Programming/Automation experience (e.g., Excel VBA, VB.net, C#, Python, or similar) Some experience with VBA, VB.net, C#, Python, lisp, or similar. Some 3D CAD design experience (e.g., Inventor, Creo, Solidworks, Fusion 360 or similar.
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Lead and execute with full ownership of RWE studies/analyses by SAS/SQL/R/Python based on claim database, EMR database, registry data and public used files. Professional programming skills with SAS and SQL. R and/or Python programming experience is plus.
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Requirements AWS Certified Solutions Architect or Google Cloud Architect Scrum Master, Agile React Native, Node JS, Javascript, Python Design Thinking/Product Management Sonarqube (or similar code review software) Feature management (launchdarkly, split, or something similar) Master's degree in engineering management, technical management, or business administration.
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Develop and implement advanced analytics models and solutions using Python, R, Tensorflow, Pytorch, and Scikit-Learn. Expertise in Python, R, Tensorflow, Pytorch, and Scikit-Learn. This is a remote position and the ideal candidate will have robust experience with ML frameworks (, TensorFlow, PyTorch, Scikit-Learn), LLMs (, GPT, Claude, Olympus), and data visualization tools (, Tableau, Power BI, Matplotlib) in an eCommerce or Fintech environment/industry.
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Proficient in Python, Pytorch, Tensorflow, Keras and Githubs with deep learning experience in RNN, CNN, NLP or imaging is a plus. Shows proficiency in development, implementation, and rollout of statistical and deep learning tools and techniques (e.g. using R, R-shiny, Python, Julia, etc.
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This dual-role position requires extensive experience with Power BI and DAX coding, as well as proficiency in Databricks and Python. Reporting Analyst- dual role, extensive knowledge PowerBI Dax code, this person should know databricks and python code, how to interact databricks and save out different notebooks.
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