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Develop scientific applications using R, Shiny and/or Python. Use advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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In addition to the responsibilities listed below, this position is also responsible for overseeing all phases of data management, quality control, and reporting; programming in analytical programming languages (may include SAS, SQL, SPSS, R, Python, etc.
$130,600 - $169,070 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Do you possess a strong background in providing data solutions with R or Python? 3+ years of experience with Python, Alteryx, R, SQL, Tableau, MINITAB, CPLEX, Qlikview, QlikSense, Hadoop.
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Strong skills in software prototyping and engineering with expertise in applicable programming and analytics languages (Python, R, Spark/Scala) and various open source machine learning and analytics packages to generate deliverable modules and prototype demonstrations of their work.
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Ability to support the development of analysts for Intermediate/Advanced data visualization, automation, and programming skills (e.g., SAS, SQL, R, Python, Alteryx) Experience working with IT partners or automation strategies to deploy production-level analytic solutions.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, 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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5+ years' experience working with statistical analysis, object-oriented programming, data mining / model building, business intelligence, visualization methodologies and tools such as R, Python, SAS, Looker, Tableau, Hue and TOAD Experience and working knowledge of data and analytics in a healthcare data management environment.
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Summary: This is a Data Quality Analyst role for the Enterprise Data Strategy team, focused on the PROVIDER data domain. The Data Quality Analyst - Provider Data Domain is a downstream data role that requires a candidate with strong data management background who understands data, how to ingest data, proper use/consumption, data quality, and stewardship.
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Data Quality Analyst. In this role you will partner with the Provider Domain Product Owner to perform data quality measurements and analyses to assess patterns, identify root cause, define data quality rules, champion automated measurement and partner with stakeholders to identify data improvement opportunities.
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1, 2, 3, 4, 5 represents priority rankings, where 1 is highest priority and 5 is lowest priority of those ranked Minimum Education Bachelor Additional Qualifications: Field of Study Biology Computer Science Statistics and Decision Science Software R Python Linux Shiny HTML Skills Scientific Data analysis Data visualization Data processing Data integration Machine learning Apply now.
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Strong coding fluency in Python, R, or Java, with knowledge of object-oriented design principles for larger-scale developmentExperience with Kubeflow, Airflow or other workflows; Docker containerization; and managed Kubernetes systemsExperience with large data sets and distributed computing (Spark.
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Experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingPREFERRED QUALIFICATIONS- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc.
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5+ years of experience in data analysis and data mining and visualization tools such as Python, R, SQL, Tableau, or similar. Stay abreast of the latest trends, developments, and best practices in process excellence and mining, and incorporate them into the enterprise strategy and operations.
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Working knowledge in project management, data mining and data visualization, forecasting, SQL, SAS, R, Python, Java, C/C. Perform analysis and provide recommendations on data extraction and use in the FedEx costing methodologies and the FedEx Express and Ground transportation network.
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Knowledge of data mining and analytic methods such as Clustering / Cluster Analysis, Factor Analysis, Regression Models, Logistic Regression, Predictive Modeling, optimization models, etc.
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