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Work collaboratively across the Product, Engineering, Developer Services and Customer Engagement teams to deliver data solutions and standard products for customer needs and product development Qualifications: 2-3 years of experience in data analytics and data visualization.
$70,000 - $80,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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The Data Scientist will provide analytical expertise to the Immigrant Health research program and other IPL projects as needed. Experience working with survey data, administrative data, and US Census data.
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Being led by the Data Strategy, Integrations, and Governance team, work with the business to obtain the necessary data and information. Able to fulfill the design's development and/or oversea and test the implementation of an assigned data engineer to the project.
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Strong skills in languages such as Python, R, SQL or Scala, alongside experience of using modern and traditional data technologies including: ElasticSearch, MongoDB, PostgreSQL, mySQL/mariaDB, Oracle, SQL Server, Hadoop, Kafka, Splunk/ELK or other logging and monitoring tools, BI and Data Warehousing solutions and ETL and migration technologies.
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Our products are trusted by leading companies including PayPal, Visa, FTX, Uniswap, Anchorage, and federal agencies such as the FBI and IRS. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people.
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The research and data analyst position for the Clelland lab involves gathering, analyzing, and interpreting diverse research data to contribute to the development of novel therapies for neurodegenerative diseases such as dementia and ALS. The project will specifically focus on the outcomes of CRISPR and gene editing in IPSC-derived cells, employing advanced sequencing techniques.
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5+ years of experience with data exploration and visualization like Tableau, Looker, PowerBI, etc. Understands data to be mined from the service ticketing system, and pulls data to create KPI dashboards on first-time fix rate, response time, field work order status, etc.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Experience engineering big-data solutions using technologies like EMR, S3, Spark, Databricks.
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Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis. Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Reporting to Dr David Levine, the Data Scientist will work across all phases of the research project, including extraction and organization of clinical and other data from a variety of information systems, automated data cleaning and verification, design, administration and construction of databases, analysis using valid statistical approaches, and development of new informatics and clinical tools.
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Experience with modern data platforms (Azure Synapse, Databricks, Redshift, Big Query, Snowflake). Utilize programming languages like Java, Pyspark, Python and Open Source RDBMS and NoSQL databases, and Cloud-based data warehousing services such as Redshift and Snowflake.
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Since 1985, Data Security, Inc.® has been the world leader of National Security Agency (NSA) evaluated products for digital data destruction; through innovative design, we hold many patents.
$84,000 - $92,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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A PhD or master’s degree in computer science, computational statistics, mathematics, physics, engineering, optimization or related applied mathematics and technical disciplines as they pertain to data science/machine learning (ML.
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Collaborate closely with other data scientists, analysts, brand marketing teams, centralized sales and marketing activation teams, and data engineering/architecture teams to define, scope, and deliver comprehensive data-driven products and solutions aligned with multiple priorities.
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This includes Data Strategy and Architecture development, Data Governance, Master Data Management, Metadata management, Data Integration/ingestion, Data Quality management, Data modeling, Data warehousing, Business Intelligence and advanced AnalyticsExperience with BIRST is preferredMust be Cloudera Hadoop Developer CertifiedExperience with MongoDBExposure to cloud infrastructure.
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