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Use a variety of statistical programming languages and database software (such as SAS, R, Python, JavaScript, Alteryx and SQL) as well as other quantitative analysis tools and techniques such as machine learning/artificial intelligence (AI/ML) models/tools and text analytics tools.
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Data Processing: PySpark , Web Development: Python, Flask Web API, Angular. At Cognizant Digital Engineering, a small cross functional team comprised of a Product Manager, an Architect, Full-Stack Developers, UI/UX designers and Big Data analysts builds higher quality software faster siloed individuals working independently.
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Extensive experience using the following programming languages: Python, TypeScript/JavaScript, Kotlin, Rust, R, SQL, Shell. - Extensive experience with data exploration exemplified by use of the following: pandas, R, SQL. Raster, OpenCV, Pillow, GDAL, Convolution, Vector: geos.
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Our technology is backed by the National Institute of Health, National Science Foundation, and top tier venture capital firms (True Ventures, 1517, and SciFounders) interested in dramatically improving the accuracy and accessibility of surgery.
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Utilize programming languages like Scala, Java, Python, SQL and GO and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. At least 2 years of experience in big data technologies.
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4+ years of e xperience executing data science methods using python libraries for Data Cleaning/Wrangling, Exploratory Data Analysis (EDA), Statistical Analysis, Data Visualization.
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You will be working with Scala, Morphir IR, Go, Python, AWS (Fargate, EMR, Glue, S3), Cassandra, DynamoDB, Snowflake etc., and will have great opportunities to learn and contribute to the success of the platform.
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Experience in data access tools, such as SAS, SQL, Python, and R. Knowledge of CMS claims data, including Medicare, Medicaid, and Marketplace, in the IDR or CCW environment with Fee-for-Service ( FFS ) , Medicare Advantage encounter data, Medicaid data in the Transformed Medicaid Statistical Information System ( T-MSIS ) , or Prescription Drug Event ( PDE ) data.
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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. The team tackles problems of massive scale, with a critical data footprint that has bottomline business impact, resiliency & availability requiring the best techniques within Big Data Analytics and Machine Learning, all while providing a superior analyst experience on our tools.
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The Risk Data Science team is looking for a Data Scientist to develop advanced machine learning models, guide measurement, strategy, and data-driven decision making to support various risk and operational areas at SoFi. The Data Scientist will work closely with Risk, Product, Engineering, and Operations teams to design solutions for loss mitigation.
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Develop automated scripts using SQL and/or python to transform raw source data into informational datasets for use by analysts and users across the company. Preferred Qualifications Proficiency in programming languages such as Python, and SQL. Experience with BigQuery, Snowflake, Databricks, Microsoft SQL Server.
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The environment involves Batch Pipelines involving core technologies such as Scala, Python, Spark, EMR, Glue, Airflow, Step Functions, Delta, Uniform Catalog, Iceberg, DynamoDB amongst many others.
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Advanced experience with quantitative analysis software (e.g., R, Stata), data visualization and mapping software (e.g., Tableau, Power BI, ArcGIS), and online survey software (e.g., Qualtrics) is required.
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Be able to execute data science method using common programming/scripting languages: Python, Java , Scala, R (statistics). Communicate ongoing data science activities , technical findings, and data products for both technical and non-technical customers.
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Gain experience - Become an expert on the latest Cloud-native/SaaS technologies such as Kubernetes, AWS, Azure, as well as Big data technologies such as Spark/Airflow, etc. Do innovative work - Cloudera pushes the frontier of big data & data engineering.
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big data science r python jobs Company: Pwc in Mclean, VA
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