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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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Familiarity with scientific data analysis tools, such as: MATLAB, PLS, PCR, IGOR Pro, Horizon, Origin, LabVIEW, Python, etc. As a R&D (Research and development) Scientist, you will help steer the direction of strategic corporate technology by focusing on solving industrial problems through reliable research work.
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Data science, machine learning, optimization models, Master’s 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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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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Develop ML prototype solutions with TensorFlow, PyTorch etc. For this role it is required to have an active Top Secret security clearance with ability to obtain SCI with CI polygraph. 5+ years of experience working in the field of Data Engineering and Data Science.
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Experience working with Python, R, SQL, and Spark for Big Data Analytics. Certifications in Tableau, Power BI, RStudio, Azure Data Engineering and Databricks ML. Experience building ML/NLP models in Azure Databricks and RStudio.
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They also rely on programming experience that typically includes Python and R programming, cloud systems (AWS, Microsoft Azure, and Google Cloud Platform, or GPC), andmetadata storage andoptimization.
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Languages: R, Python (Pandas, Seaborn, Scikit-learn), SQL,Hive, Pig, Impala, Sqoop, Kafka, VBA, Shell. Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R.
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You have strong skills in Python, R, SQL, and Hive queries. You have hands on experience with data visualization and reporting tools such as Tableau, R Shiny, and/or Looker. You have hands on experience with data visualization and reporting tools such as Tableau, R Shiny, and/or Looker.
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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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Programming knowledge preferred (Python, R, C. Lean Six Sigma Green Belt required. Lean Six Sigma Black Belt preferred. Lead LMS (Labor Management System) integration efforts with WCS (Warehouse Control System) and WMS (Warehouse Management System.
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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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Use programming languages including but not limited to Python, R, SQL, Java or Scala, SQL. Programming Languages: Python, R, SQL, Java or Scala, SQL. Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
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Data science, machine learning, optimization models, PhD 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, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Perform hands-on modeling and complex analyses using Python, SQL and/or R. Proficient coding skills (SQL/Python/R) and database knowledge. Excellent technical chops and advanced programming skills with experience of creating Python modules.
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