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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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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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O Programming Language: Python, R, SQL, Java, Scala, Pyspark/Apache Spark, Shell scripting. Use programming languages including but not limited to Python, R, SQL, Java, Scala, Pyspark/Apache Spark, Shell scripting.
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Familiarity with R, Python, SQL, HTML, ArcGIS, and Drupal. g, Tableau, Looker, Power BI) and programming languages, primary Python, R, HTML, and Javascript. g, Tableau, Looker, Power BI) and programming languages, primary Python, R, HTML, and Javascript.
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Advanced analytical skills – Experience with data analysis and/or data mining, knowledge of SAS, SQL, MicroStrategy, Big Data or other analytics tools like R, Python, Tableau, Power BI.
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Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse. Strong experience with Python/R, forecasting methodologies, machine learning and statistics.
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Experience with SQL and cloud technologies like Snowflake, Google BigQuery, Databricks, presto etc., Ability to formulate and advocate for R&D objectives and results to multi-functional team members including executive business leadership and product management.
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Hands-on experience and expertise in Advanced SQL, Advanced Python programming, AWS Services ( such as S3, Redshift, Glue ETL, IAM, DMS, Appflow,VPC and others), SnowFlake, FiveTran, KAFKA, Airflow, Oracle Cloud and other open source tools.
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Python, R, Matlab, Tensorflow, DMTK. Full-stack experience in one or more of the following: Java, Spring, JavaScript, SQL, ReactJS, Redux, Spark, Kafka, Kubernetes, AWS, and the confidence to easily pick up others.
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Skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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Experience with Business Intelligence software such as MS Power Platform, SQL, Python, R, C. A truly exemplary candidate will have experience in such data platforms as MS Power Automate, MS Power Apps, SQL, R, Python and/or other data manipulation/modeling applications.
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An Analytics Consultant'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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Advanced degree in a quantitative discipline, strong programming skills (R, SQL, Python), expertise in machine learning and statistical modeling, experience with cloud deployment and services, familiarity with airline revenue management algorithms.
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Experience with programming languages (SQL, R, Python), front end design languages (HTML, CSS, JavaScript), developer packages such as Jupyter Notebooks. Experience with automating GIS processes and applications using Arcade, SQL, Python, etc.
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Required skills: credit/financial modelling; cloud computing environments; machine learning techniques/algorithms (classification, regression, clustering, feature engineering, decision trees, gradient boosting); statistical skills (distributions, statistical testing, regression, regulation); R; Python; Anaconda; TensorFlow; Scikit-learn; Keras; SQL; H2O.ai; Redshift.
ExpandApply NowActive JobUpdated 10 days ago
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