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AWS Serverless, Cloud Security, DevOps, Containers •Knowledgeable in SQL/NOSQL; Aurora, Redshift, Dynamo DB•Knowledge in modern data engineering languages: Python, Event Bridge, Step Functions, Lambda, CloudWatch, CloudFront, Pyspark, R and Glue•Ability to build API integration with Angular/React Material for front end development.
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Program cognitive tasks, software pipelines, data visualization tools, and machine learning or data science utilities for a variety of scientific use cases. Ultimately, you will use common frameworks, platforms, and languages, such as Python, R, Unity, GitHub, and high-performance computing infrastructures, to assist with software development initiatives at the interface of our clinical and fundamental research needs.
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Data engineering, database engineering, business intelligence, or business analytics, Master's degree in Computer Science or related field and 2 years' experience in software engineering or related field, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
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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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Experience with analytics tools like SAS, R, Python, and other advanced statistical software. The consultant will partner with our customers to understand their data integration pain points with MarkLogic-based data management, search and analytics solutions, and work with colleagues to design and implement solutions.
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Requires proficiency in SAS, R, or Python (preferred) for data wrangling, automation, and creating statistical and machine learning models. Desire proficiency in cloud-based computing and data platforms (Azure, Google Cloud, BigQuery, Snowflake, DataBricks.
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Our transportation client is looking for a Big Data Engineer - Spark/Databricks to join their team. Experience with real-time data processing and streaming techniques using Spark structured streaming and Kafka.
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Experience with data science tools and programming languages such as Python, R, SQL, and big data technologies. Minimum of 3 years of experience in a data science role, with a strong foundation in statistical analysis, predictive modeling, and machine learning.
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Hadoop Admin Ops / SRE role supporting NextGen Platforms built around Big Data Technologies (Hadoop, Spark, Kafka, Impala, Hbase, Docker-Container, Ansible and many more). Requires experience in cluster management of vendor based Hadoop and Data Science (AI/ML) products like Cloudera, DataRobot, C3, Panopticon, Talend, Trifacta, Selerity, ELK, KPMG Ignite etc.
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Experience with data science tools such as Python, R, PyTorch, TensorFlow, Kera's, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as Sage Maker, Databricks, and Dataiku.
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Adapt data science algorithms (supervised and unsupervised learning, decision trees, neural networks, AI based image processing and feature extraction, Bayesian learning, etc) for modeling clinical trial data to support drug development.
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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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Performing data analysis, including inspecting, cleansing, transforming and modeling for enabling data mining, using SciPy, scikit-learn, pandas, TensorFlow, Region-based Convolutional Neural Networks (R-CNN), OpenCV, Bidirectional Encoder Representations from Transformers (BERT), and Natural Language Toolkit (NLTK); and.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Science development languages such as R, Python, TensorFlow, and PyTorch. Experience with big-data technologies like Hadoop/Spark or GCP-BigQuery is a plus. will participate in data science, industrial analytics, data-driven prognostics, data mining, and.
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big data science processing r python jobs Company: Pwc
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