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Manipulates and extracts Medicare, Medicaid, and other healthcare claims data stored in Cloud environment using appropriate software such as SAS, Snowflake, Python, R, SQL, and other software as appropriate for the task.
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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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3+ years in a hands-on role performing advanced predictive analytics using tools like Python, R, or Scala. The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects.
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R&D Partners is seeking to hire a Senior Scientist Bioscience in Gaithersburg, MD.Your main responsibilities as a Senior Scientist Bioscience:Fully competent in own research area within Bioscience discipline.
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We are looking for a Principal Data Scientist to be the founding member of our predictive analytics practice within our Data & Analytics team, with a focus on building capabilities around operationalizing ML models to drive core financial metrics and customer consumption forecasts.
$268,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with designing Glue jobs using both Python Shell and PySpark Experience with SNS/SQL implementation techniques, event triggering (e.g., EventBridge) and Step Functions Understanding of logging in AWS Experience with database development and data migration (Postgres and Redshift) Experience in building/accessing Data Lakes using Glue/Athena/Redshift and building data access APIs Implementation of database/data lake granular access security, and access integration with Okta/Cognito M2.
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Required 3 Years · Experience with deployment and management of data science tools and modules such as JupyterHub. Required 3 Years · Experience with ETL, data processing, analytics using languages such as Python, Java or R. Required 3 Years · Databricks Certified Data Engineer Professional · Experience with Cloudera Data Platform.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. Senior Manager, Data Engineering (Python, AWS, Airflow.
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Senior Data Engineer (Python, Kafka, Databricks, AWS) 2+ years of data warehousing experience (Redshift or Snowflake) 5+ years of experience in application development including Python, SQL, Scala, or Java.
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Proficiency in one or more scripting languages such as R or Python. Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.
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Experience with designing Glue jobs using both Python Shell and PySpark Experience with SNS/SQL implementation techniques, event triggering (e.g., EventBridge) and Step Functions Understanding of logging in AWS Experience with database development and data migration (Postgres and Redshift) Experience in building/accessing Data Lakes using Glue/Athena/Redshift and building data access APIs Implementation of database/data lake granular access security, and access integration with Okta/Cognito.
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Knowledge and experience with data analytics and data visualization tools and systems (e.g., PowerBI, Alteryx, Dataiku, QlikView, Tableau); experience with writing or editing SQL, VBA, Python and/or other programming languages; advanced Excel knowledge.
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Sr, senior, Service Tech, refridgeration, HVAC, refrigeration, HVAC-R, HVAC/R, diagnostic, commercial, service, install, mechanical, mechanic, apprentice, AC, field service, chiller, specialist, HVACR, supermarket, rack systems.
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This role is pivotal in advancing our privacy practices at USDS, through aligning USDS privacy requirements with the global privacy compliance framework (PCF), working closely with global legal, R&D, Privacy and Data Protection Offices (PDPO) as well as USDS privacy operation teams.
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SAS, SPSS, Stata, R, Python) is preferred. BRG’s Forensic Accounting & Valuation expertsare adept at translating complex financial transactions and numerical data into terms that a layperson can understand and interpret in a legal setting.
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python r data scientist jobs Title: sr data scientist in Washington, DC
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