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Experience working with languages like Core Java, J2EE, JSP, Servlet, Node.js, Angular, Python, R, Scala, SQL, in UNIX/Hadoop environments. Proficient in Big Data Technologies, Data Transport (Pulsar/Kafka), Spark, Jupyter/ Python.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Experience with data analysis using programs such as R or Python data programs. Experience with flow cytometry, cell cultures, and single-cell and bulk RNA sequencing. Experience with data analysis using programs such as R or Python data programs.
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Experience with Tableau, Snowflake and MS Azure cloud Experience with statistical software packages, such as Python, R or SAS Experience with managed care concepts and health plan business processes Experience with Medicaid and Medicare programs Review many of our opportunities here: “Careers and companies flourish when staff, clients, and candidates truly believe in the mission, know the role they play, and humbly reflect, evaluate, and act for the best interest of the communities served.
$105,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Understanding of Finance business processes, including FP&A, Strategic Finance, Business Unit Finance, Controllership (Close & Consolidations), Tax, Treasury, Management and External Reporting, and Investor Relations.
$229,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong working knowledge of databases, data modeling and modern cloud-based data architecturesStrong working knowledge of data and analytic tools and programing languages including but not limited to SQL, Python, Map Reduce, SAS, R, SageMaker, S3, Git etc.
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Strong proficiency in analytical tools and software, including SQL, Python, R, and data visualization tools such as DOMO, Tableau or Power BI. Strong proficiency in analytical tools and software, including SQL, Python, R, and data visualization tools such as DOMO, Tableau or Power BI.
$110,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong skill in one or more of the following languages: SQL, Python, R. The Business Intelligence Analyst will be required to create and produce daily, monthly, and ad-hoc reports, as well as have the ability to validate the integrity of the data.
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Good to have SAS, R, Python. Proficient with analytical tools such as, MS Excel/VBA and MS PowerPoint. Good to have SAS, R, Python. Ability to work on Forecasting, Business Analytics, Analog Analysis, Strategic Planning, Pipeline Analysis, Business Development, Market Research, Identification and Profiling of KOLs.
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Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL, Tableau. Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL, Tableau.
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Familiarity with data tools and languages (Python, R, SQL, Excel). Familiarity with data tools and languages (Python, R, SQL, Excel). Work with data science, consumer insights, media and web analytics, and BI teams to leverage data resources and champion new analytics solutions.
$95,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficient in tools and languages like Python, R, SQL, and machine learning libraries/frameworks. Proficient in tools and languages like Python, R, SQL, and machine learning libraries/frameworks.
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O Very Good Knowledge on one and more Statistical Tool like R/Python. o Solid hands-on experiences with Hadoop technology components such as HDFS, HBase, Cassandra, Kafa especially with Spark and Spark Streaming.
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Proficient working knowledge of Microsoft PowerPoint, Excel, and SQL; Additional tools such as VBA, R, Python are a plus but not required. Be an innovative voice for new client solutions: Collaborate with project teams and the Technology Engineering Team (R&D) to continuously evolve our statistical methodologies, develop new ways of solving complex client business problems and help develop new tools and capabilities.
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Maintain daily management dashboard and reportingLead and manage SEM efforts with existing team membersSegmentation and ForecastingDevelop statistical forecasts to identify trends and future performance via R, Python, MySQL, etc.
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