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The ideal applicant should have a strong programming background (e.g., Python, R, SQL, SAS, and/or STATA) and the drive and enthusiasm to learn about clinical care by assisting in state-of-the-art patient-centered research.
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Sr Data Scientist (Machine Learning, Natural Language Processing, Java, Python, R, SAS, Github) in Philadelphia, PA. Data Scientist, Machine Learning, Natural Language Processing, Java, Python, R, SAS, Github.
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Expertise in Python, R, SQL, statistics, data mining. Visualize insights using Microsoft Office, Tableau, Python, R. Design, develop, and test ML applications using Python, Linux, Docker.
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Strong hands-on skills in relevant programming languages (e.g., R, Python, Shiny, UNIX/Linux, UNIX bash shell scripting, Nextflow), statistical software, cloud computing, visualization tools, and relevant R/Bioconductor packages.
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Data science, machine learning, optimization models, Masters degree in Machine Learning, 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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Technical expertise in data mining, machine learning, and statistical analysis(Python/PySpark/R/SQL) Experience with creating R Shiny apps is a plus. Master and help evolve the team’s technical stack (centered on Python, cloud, ML/DL, Docker, Kubernetes); understand Walmart’s product, data and pipeline systems.
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Uses relevant programming languages (e.g., R, Python, Shiny, UNIX/Linux, UNIX bash shell scripting, Nextflow), statistical software, cloud computing, visualization tools, and relevant R/Bioconductor packages.
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Leverage a broad set of modern technologies - including Python, R, Scala, and Spark - to analyze and gain insights within large data sets and implement systems for automatic data collection, curation and model training.
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End-to-end implementation experience in building analytical solutions using data visualization tools like TIBCO Spotfire, Power BI, Python, R, etc. Collaborate with local business users to understand business processes, gather technical requirements, evaluate proof of concepts, design, develop, and support analytical solutions using TIBCO Spotfire, Power BI, SQL, Python, R, JS, HTML, etc.
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Write code in Stata, R, Python, SQL, or SAS to extract, transform, and clean data and construct variables for analysis. 0 - 2 years of programming experience in a work or academic environment using Stata, R, Python, SAS or a similar language.
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Open source, Commercial, and Government software packages such as Kafka, Beam, NumPy, Kubeflow, Nvidia Triton, PyTorch, TensorFlow, Weaviate, Neo4j, Grafana, etc. Perform Kubernetes and K3s orchestration with tools like Rancher and Konvoy.
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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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3-5 years of professional experience programming statistical analyses in SPSS, Stata, Python or R (Python and R highly preferred) Build scalable and reproducible work in Python or R including data ingestion, quality checks, cleaning, analysis, modeling, and output.
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Data Visualization: Fluency in contemporary data visualization methods like R Shiny , D3. Skills or Requirements: Analyzing next-generation sequencing (NGS), functional genomics, statistics for big data analysis, or multi-omics data integration.
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Axient LLC is a federal government contractor and must adhere to applicable safety and legal requirements, protocols, and compliance regulations as required by federal laws and governing agencies. Develop ML prototype solutions with TensorFlow, PyTorch etc.
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