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Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow. Fluent in data exploration and visualization tools such as Looker and Tableau. Our team masters exploratory data analysis, advanced reporting, data modeling and visualizations that serve the dual purpose of driving business decision making and delivering fact-based actionable recommendations.
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Evaluates model assumptions and data integrity. Evaluates the adequacy and effectiveness of data, document retention, and monitors systems. CIB Trading Model Validation AssociateBoston, United States of AmericaThe Associate, Risk Modeling is responsible for executing model risk management activities consistent with the enterprise model risk management framework, industry best-practice and regulatory guidance.
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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) The Clinical Data Analyst partners cross functionally to identify risk to data integrity throughout the data flow to drive quality collection for non-EDC data sources (fluid & tissue labs, digital, imaging, wearables) in Dyne's clinical studies.
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Knoledge in Databricks, PowerBI, programing languages including SQL, Python and PySpark, data principles including data pipeline, streaming data, data storage, ETL, data integration, database design Leadership (Vision, strategy and business alignment, people management, communication, influencing others, managing change.
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Must have 2 years of experience reviewing requirements; developing and working with data models, data warehouses, data pipelines, scripts, files, queries; performing unit testing; using ETL, Agile, Rest API, PL/SQL, RDS, Jira, Oracle, SQL Server, AWS. Must be willing to travel/relocate to unanticipated locations throughout the US on short notice for extended periods of time.
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Data bases (SQL, NoSQL) and Data Platforms (Databricks, Snowflake) Strong skills with Database management, Data modeling and design DevOps and Security CI/CD, Serverless compute, OAuth, SSO, MFA etc.
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5+ years of prior work experience as a data scientist if MS degree, 3+ years with Ph. Good knowledge of neural network, deep learning and optimization theory; Experience with Natural Language Processing (NLP) and/or Generative AI.
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Apply your topical knowledge and experience in one or more of the following: Quality, Risk Adjustment, Provider Data, Healthcare Data Interoperability, Value-based Care, Population Health, and/or Clinical Operations/Medical Cost Management to drive data solutions product innovation.
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Familiarity with data pipelines and orchestration frameworks (Spark, Hadoop, Databricks, Airflow) Collaborate with a wide variety of stakeholder including Product Manager, Technical Program Managers, Data Engineers, Software Engineers, Data Scientists, and Analysts to identify opportunities, gather requirements, and help guide the direction in which we develop new capabilities.
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Duties include:·Integrate and organize existing data from many modalities, including 16S amplicons, shotgun metagenomics, multiplex ELISA, metabolomics, and more. The person hired will work under the supervision of Dr. Kwon conducting patient-oriented translational research involving curated, high dimensional, multiomics data integration, including analysis of metagenomics, metatranscriptomics, metabolomics, host single cell transcriptomics and clinical metadata.
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Habitat for Humanity: Builds affordable housing to empower families and strengthen communities through volunteer-driven construction projects.
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Harness the power of Databricks Delta Lake and Parquet files for data warehousing, query optimization, and data versioning. Expertise in using Databricks platform on AWS for data processing and analytics.
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You will have an opportunity to work in roles such as Cloud Data Engineer, Data Modeler or Data Architect covering all aspects of Data including Data Management, Data Governance and Data Migration.
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Programming, SOLIDWORKS, FPGA programming, digital design, digital signal processing, image processing, data analysis, RF design, or structural analysis. Job Description The group seeks a Student Technical Assistant to work with our engineering staff on advanced concept demonstrations in the areas of data analysis, algorithm development, software development, digital signal processing, hardware design, and flight test support.
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Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning.
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data entry jobs Title: developer in Waltham, MA
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