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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) Bachelor's degree in Computer Science, Applied Mathematics/ Data Sciences/ Data Analytics or related discipline required, advanced degree preferred.
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Net, C#, Android SDK, Kotlin, IOS Swift, AWS: EMR, S3, Redshift, Athena, Glue, DynamoDB, Lamda, CloudWatch, ElastiCache, Kinesis, SNS, SQS, Azure: HDInsight, Data Factory, Data Lake Analytics, Databricks, GCP, and Big Data Apache: Hadoop, Hive, Hue, Sqoop, Kafka, Spark, Airflow, SnowFlake, Python, Scala, Machine Learning: NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Apache Mahout, Vertex AI, Keras, OpenNN, Theano.
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Expertise in open-source data science technologies such as Python, R, Spark, Hadoop, etc. Develop, and implement statistical/predictive models using advanced algorithms on diverse sources of data and testing and validation of models on hardware/software in loop benches, prototype vehicles.
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Advanced and hands on experience using: Python, Databricks, Azure ML, Azure Cognitive Service, Ads Data Hub, BIQuery, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch, AutoTS, Prophet, NLTK.
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Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as Rand Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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In order to construct a robust, accurate, 360-view data environment that is unique to each client•Demonstrated performance excellence in one or more of the following computer languages: SQL, SAS, R, Python•Employing techniques such as a case-control study, regression analyses, principal component analyses, clustering exercises, propensity scoring, classification, ROI calculation, etc.
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SAS, R, Python, SPSS, MapR, Flume, Hue, Impala, predictive analytics, Tableau, Spotfire, and Java. Financial Services Organization: Data & Analytics Manager- Data Governance & Controls.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$184,000 - $248,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are hiringa Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine.
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We are seeking a talented and experienced People Analyst to join our HR team and drive strategic decision-making through advanced analytics and data visualization. Education:Bachelor’s Degree in a quantitative or related field such as data analytics, business analytics, computer science, engineering, economics, mathematics, or statistics.
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Proficiency in programming languages such as Python, R, or SQL. Strong knowledge of machine learning techniques, statistical analysis, and data visualization tools Tableau, Power BI.
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Knoledge in Databricks, PowerBI, programing languages including SQL, Python and PySpark, data principles including data pipeline, streaming data, data storage, ETL, data integration, database design Leadership (Vision, strategy and business alignment, people management, communication, influencing others, managing change.
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Core Tools: Python, R, SQL, Next.js, React, TypeScript, Tailwind CSS. Leverage your advanced skills in Python and SQL and with platforms like Databricks and AWS to build highly scalable data pipelines and warehouses.
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Bachelor s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Information Management, or a closely related field and three (3) years of experience as a Senior IT Data Analyst (or full stack engineering or closely related occupation) performing data analysis and modeling using SQL, PL/SQL, and Python in a financial and brokerage services domain.
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Proficient with software used for data mining, statistical analysis, and data visualization (SAS, SQL, R, SPSS, Qlik, Power BI, Tableau, etc.) The Senior's primary responsibility is to leverage strong technical skills (SQL, R, Python, and Tableau) and healthcare industry knowledge (payor, provider, pharmacy, public health, epidemiology, etc.
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data science predictive analytics analyst python r jobs Company: Cvs Pharmacy
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