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3+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.) The SOPAX Data Science team consists of highly skilled Data Scientists working together following an agile methodology and design thinking.
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Master Degree in Microbiology, Genomics, Bioinformatics, Computational Biology, Data Analytics, Data Engineering or life science and agricultural related quantitative disciplines. Experience with Google Big Query, AWS databases, Oracle SQL, mySQL, PostgreSQL, and other data technologies.
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Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
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Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai.
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Morgan, Lewis & Bockius LLP, one of the world’s leading global law firms with more than 4,000 lawyers and staff in 30 offices is seeking a Business Analyst, Data Science to contribute to the creation of business and data analyses using technical platforms that enable case teams to efficiently manage and monitor vital information, deadlines, and documents related to their practice, clients, and matters.
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Qualifications Bachelor’s degree in computer science, Data Science, or data engineering 3-5 years of experience as a Data Analyst with exposure to data governance practices.
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Develop Data Governance Tactics, Techniques and Policies (TTPs) to ensure that CCI EMSO remains ahead of Big Data demand and projects chartered by OUSD (I&S) that support Data Engineering and Science initiatives.
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You are very skilled at using one or more BI tools (e.g. Tableau, Sigma, Looker), cloud data warehouses (e.g. Snowflake, Redshift, Big Query), data transformation frameworks (e.g. dbt), and data science tools (e.g. Python/Jupyter, Julia, R.
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Experience with big data technologies (e.g. Hadoop, Spark, BigQuery) Bachelor's or Master's degree in a related field (e.g. Computer Science, Statistics, Applied Mathematics, Data Science.
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The QA analyst will be a member of a Data Engineering Scrum team that is delivering solutions focused on using state of the art data and analytics tools including traditional and near real-time data warehousing, big-data, relational and document-based databases using both extract, load, transform (ELT) toolsets as well as REST APIs and FHIR. The ideal candidate will be comfortable with data science platforms with proven experience leveraging DevOps and Test Automation tools.
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Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau.
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The Urban Institute’s Data Science team is hiring a Data Science Analyst to work with researchers across the Urban Institute and our change-maker partners to apply data science tools and techniques to generate new evidence, data, and analytic tools that inform public policy.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Data and Analytics Platforms: Exposure to and experience with at least one big data platforms such as AWS, Azure, Databricks, Qubole, Snowflake, etc. Stay Updated on Industry Trends: Keep abreast of the latest developments in data science, machine learning, and marketing analytics.
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Senior Technical Data Analyst. Experience with data visualization tools (e.g. Tableau, Power BI), as well as surfacing insights with interactive notebooks (e. Stay up-to-date with industry trends and best practices in search engine marketing and data analysis.
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big data science jobs Title: data analyst
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