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Expertise in Python, R, SQL, statistics, data mining. Visualize insights using Microsoft Office, Tableau, Python, R. 5+ years of experience working in the field of Data Engineering and Data Science.
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Expertise in common data science toolkits and programming languages, including R, Python (including SciPy, NumPy, and/or PySpark) and/or Scala, Java, SQL, and shell scripting. Experience querying databases and using statistical computer languages: R, Python, SQL, etc.
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Experience with any of the following technologies is a plus: Snowflake, Power BI, Microsoft SQL Server, Python, Power Shell, R/R Studio Workbench Server, Amazon AWS (EC2 instances, Redshift, lambda functions, S3, etc.
$105,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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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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, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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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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Demonstrated fluency and competency with statistical programming with the R programming language or the Python programming language. An important task will be writing and maintaining analytic pipelines in languages such as R, python, Go, Rust, shell, SQL, WDL, and/or other appropriate languages, and using tools such as Docker.
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Will maintain, move, and manipulate data between applications, using appropriate software/code: Apache Spark, ElasticSearch, R, Python, Kibana and others as technology evolves. Experience utilizing computer programs, software, or a variety of coding languages (i.e., Python, MySQL, D3, SPSS, SAS, Visual Basic, R, etc.
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Extensive experience working with healthcare data, utilizing SQl, R, Python and/or Tableau. Proficient with software used for data mining, statistical analysis, and data visualization (SAS, SQL, R, SPSS, Qlik, Power BI, Tableau, etc.
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Knowledge of statistical and data analysis tools and software, such as Stata, Python, R, SQL, and/or data visualization tools such as Tableau, Power BI, etc. Knowledge of statistical and data analysis tools and software, such as Stata, Python, R, SQL, and/or data visualization tools such as Tableau, Power BI, etc., preferred.
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Proficiency in ML/Data Science/Statistical Modeling languages such as Python, R to build Propensity Models, Customer Segmentation, Churn Scores, Forecast Models etc. Write sophisticated and efficient code to transform raw data sources into easily accessible models by coding across several languages and tools such as SQL, Python, Spark, Databricks, Airflow, Azure, AWS, etc.
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SOSi is seeking data talent to unlock insights from massive datasets supporting strategic national security objectives. SOSi is seeking skilled Data Scientists to join our analytics team working on an innovative MLOps workload leveraging cutting-edge technologies and supporting a government customer in Huntsville, Alabama.
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Deep knowledge of common programming languages (Python, R, Julia), data science packages and frameworks (Pandas, NumPy, Scikit-learn, tidyr, tidyverse). Working Knowledge of data pipeline and ETL tools (Apache Airflow, Databricks, Apache NiFi, Azure Data Factory, etc.
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Proficiency in Snowflake, Oracle SQL, Python, R (Preferred), Cognos, Power BI, and other reporting - analysis tools. Technical expertise in data models, database design development, data mining and segmentation.
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High Level Programming in Data Engineering, Data Science, or Machine Learning (Python, Scala, Java, R, SAS for Data Science, etc). Experience with the development of data science, machine learning, and/or advanced analytics implementations or the use of programming languages in Python, Java, R, Scala, SAS, or other analytical language to create predictive and/or prescriptive models.
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