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Knowledge of data warehousing and data analytics tools, such as but not limited to PoweBI, Snowflake and DBT.Familiarity with agile software development methodologies. Extracting, transforming and loading data between enterprise-class applications such as but not limited to SIS, transportation management, school lottery and asset management,Implement data validation and cleansing procedures to maintain data quality.
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Bring your people analytics, social science research and data mining/science skills to a unique team seeking to understand, and shape, the future of the digital workplace. In addition to your existing people analytics work experience, this role will combine your skills in psychology, data analytics and visualisation, to help create a more effective workplace.
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Domain experience with financial datasets like FactSet, Bloomberg, IBES, CompStat, S&P Global, Worldscope, Morningstar, MSCI, Reuters, IDC, Markit, BARRA, Axioma, Northfield, and PORT is a plusDemonstrated Experience in Python programming and familiarity with core data science libraries.
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Experience with data governance and reporting tools including Informatica Axon and EDC, Microstrategy, Power BI, Tableau, and BeX. Oversee the Data Governance Working Group, coordinating project timelines and outcomes, program communications, and membership updates.
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Strong proficiency with data warehousing tools (Snowflake, SQL Server, Google BigQuery). In this position, the AI/ML Big Data Architect will play a critical role in assisting researchers by designing and implementing robust data architectures, optimizing AI/ML data workflows on large-scale systems, implementing best practices for data integrity and scalability, building and maintaining the distributed AI/ML data infrastructure, and ensuring seamless integration of cutting-edge data storage and retrieval techniques with research initiatives.
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Data cleaning/preprocessing software (e.g. Alteryx, Tableau Prep), BI tools/visualization software (e.g. Tableau, Spotfire, Power BI) and IDE tools (e.g. VS Code, Databricks, R Studio) to manipulate data and draw insights from various data sets.
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Broad technical skills including data modeling, SQL, databases, ETL/ELT, scripting, and commercial cloud service offerings (e.g. Azure, AWS, Databricks, Snowflake) The relevant infrastructure will include elements such as an enterprise data catalog, data governance (including conventions and standards), data quality, master data management, application integration, data exchange, ETL/ELT, data modeling, and related components.
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Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse. We need a strong data scientist leader to manage our ML & data science research & development and evolve the services that make up the backbone of Xometry's business.
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Design and implement custom bioinformatics data pipelines to analyze results from novel and established next-generation sequencing (NGS) assays. Integrate bioinformatics, genomics, and functional data, generating new insights into base editor behavior.
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Experience with analytical tools and languages supporting data analysis, reporting, and visualization like Microsoft Excel, Microsoft Power BI, Tableau, Python, or SQL. Data Science & Data Analytics.
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As part of a 160+ member community of data scientists, John Hancock, and our parent Manulife, you will have an opportunity to network with experts across the globe. Master’s Degree with 5+ years’ experience, or PhD with any of the following fields: Computer Science, Data Science, Applied Math, Engineering, Operation Research, Statistics, Epidemiology, Public Health, or other related quantitative fields.
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Work closely with scientists within the in-vivo pharmacology group to verify in-vivo and Pharmacodynamic (qPCR) data. " Work closely with scientists within the ADME group to verify bioanalytical data generated using HPLC-FD and LC-MS/MS.
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5+ yrs in a pivotal Software/Data Engineering role, with deep exposure to modern data stacks, particularly Snowflake, Airflow, dbt, and AWS data services. -Lead architectural design sessions for the modern data stack, focusing on solutions that seamlessly integrate with our technology stack, which encompasses Snowflake, Airflow, dbt, Great Expectations, and AWS data services.
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This role will report to the Program Lead CDM. As part of the greater Biometrics team, the CDM group will continue to expand as our clinical trial portfolio of work and associated data responsibilities increase.
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Identify and assess trends that may impact the City’s population and demographics working with various data sources including the US Census Bureau’s databases (tabular and microdata). Process and visualize geospatial data using ArcGIS Pro and/or other geospatial software (e.g. QGIS or Python/R libraries), including geocoding, spatial joins, projections, spatial analysis, and basic cartography.
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data job Title: developer Company: Kforce Inc in Cambridge, MA
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