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Master's degree in health economics and outcomes research, statistics, mathematics, psychology, epidemiology, computer science, or related fields. Demonstrate knowledge of real-world evidence (RWE) databases and clinical trial data.
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Leading the architecture efforts & implementation of data platform on Snowflake, including data modeling, ETL/ELT processes, and data integration / dissemination / Data Sharing.
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Experience with statistical / data software packages such as Netezza, SQL, Python, SAS Direct Experience with Credit Loss Forecasting (Either CCAR, CECL, or FP&A) If hired in CA, the base pay for this position is generally between $113,318 and $196,428.
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SKILLS/EXPERIENCE degree in Civil or Environmental Engineering, Geology, or Environmental Science. Compile, reduce, analyze, manage, and report field, instrumentation, geological, and/or environmental data using spreadsheets and other tools.
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A Bachelor's degree in Management Information Systems, Data Analytics, Computer Science, Accounting or any other related discipline; or four or more years of work experience. Experience in using and managing the full data science stack of tools.
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Strong understanding of data modeling (e.g., star schema and snowflake) to drive solutioning discussion with IT team. Experience developing data visualization tools such as Microsoft Power BI.
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Maintain awareness of new statistical methods, tools and data sources to ensure that projects represent current state of science, and maintains professional knowledge by reading scientific journals, attending internal and external courses, and undertaking methodological research.
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Maintaining and enhancing our AWS cloud environment such as monitoring, optimization, automation, data maintenance, and security tooling. Building and managing CI/CD (Continuous Integration/Continuous Delivery) workflows and complex system integration using DevOps scripts and frameworks/tools Gitlab, Jenkins, BitBucket, Nexus, CVS and AppviewX. Hands on experience in scripting languages (shell, python, groovy), Terraform modules/templates, CloudFormation(AWS) or other Public Cloud platforms, operating systems (Linux and windows), Configuration Management tools (Chef or Puppet), network fundamentals to build automation framework.
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Bachelor's degree in relevant field- Computer/Data Science, Economics, Mathematics, Statistics. Hands on development experience with: Python, Spark, SQL, Cloud-based ETL tools, Azure Data Factory/Databricks and Snowflake.
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Setup, Build and Grow the Team. You will work in close collaboration with the USA Data Science and Machine Learning team to setup the goals and roadmap to assemble a world-class team in close alignment with the company’s OKRs.
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Experience with, but not limited to, statistical design and analysis of experiments, QbD, assay/process validation, data visualization. Knowledge of data handling, statistical analysis and programming in PC-SAS, JMP and R.
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Design data models to extend business content objects or create new data models (SAP HANA Modeling and ABAP CDS Modeling) to support self-service operational and analytical reporting needs.
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Be able to leverage Teradata SQL, BigQuery SQL, Adobe, BTEQ, and GCLOUD to test, implement, and validate existing and new data sources. Designing and maintaining automated ETL scripts to support data enablement of database marketing tool metadata structures.
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Support data center operations, including capacity planning, disaster recovery (DR) strategies, and high availability configurations. Job description Senior Consultant - IT Infrastructure (Cloud, Data Centers, Networks) - Infosys ConsultingInfosys Consulting's Tech Transformation Advisory Practice is seeking a Senior Consultant specializing in IT Infrastructure.
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Daiichi Sankyo Group is dedicated to the creation and supply of innovative pharmaceutical therapies to improve standards of care and address diversified, unmet medical needs of people globally by leveraging our world-class science and technology.
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data science jobs Title: research associate in Morristown, NJ
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