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11 West 19th Street (22008), United States of America, New York, New YorkManager, Data Science - Fraud, Deep Learning Manager , Data Scientist, Fraud. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
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Required Skills: SQL Databases & network configuration; ETL (PENTAHO); Linux/UNIX, PERL programming, crontab files, MicroStrategy admin skills; Java-based applications environment; AWS & related open source & cloud tech; Python for automation; Bash/Shell scripting, Chef, Kafka, Storm, Spark, Hadoop, HDFS, SQOOP, HIVE, PySpark, Spark SQL, PIG, Yarn, DynamoDB (NoSQL), PostgreSQL, Restful API's, XML, JSON, Airflow, Hortonworks Data Platform (HDP.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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You also have a good understanding with statistical and computer software, or other analytical tools such as SAS, R, SQL, Python, Microsoft Word/Excel/Power Point, knowledge in UNIX or PC environment for modeling.
$60 - $75 an hourExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Employ sophisticated data engineering techniques, leveraging innovative tools like SQL Coding, Palantir Foundry, Spreadsheets as Excel, and dashboards such as Power BI and Tableau. Quantitative fields such as: Data science, data engineering, information technology.
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The PositionThe Science Engagement Division at the Adler Planetarium (Adler) is seeking candidates for a Postdoctoral Fellowship position in the field of Data Science, with an emphasis on Remote Sensing and Geospatial Analysis.
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Bachelor’s degree in Computer Science, Engineering, IT, MIS, or a related disciplineExpertise in Python, SQL, and RExpertise in ingesting data from a variety of structures including relational databases, Hadoop/Spark, cloud data sources, XML, JSON Expertise in ETL concerning metadata management and data validation Expertise in Unix and Git Expertise in Automation tools (Autosys, Cron, Airflow, etc.
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3+ years orchestrating and implementing pipelines with workflow tools like Databricks Workflows, Apache Airflow, or Luigi 3+ years of experience prepping structured and unstructured data for data science models.
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Duties and Responsibilities SummaryThe Department of Health Informatics and Data Science and the Center for Health Outcomes and Informatics Research (CHOIR) at Loyola University Chicago invites applications for two immediate postdoctoral research positions opening in medical informatics for a one-year tenure.
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Utilize technical data skills and applications (Oracle, SQL Server, IBM Cognos Query, Power BI, Excel) to aggregate contents with historical source system, Snowflake and Bottomline data.
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The Sr. Director, Head of Owned Channels and Enterprise Decision Science will lead our team of data engineering and decision scientists. Lead and manage the TIAA marketing data engineering and decision science team, providing guidance, mentorship, and support to achieve department goals and objectives.
$112,700 - $155,300 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Defines advanced analytics, M/L and AI project objectives, collaborates with the business for requirement, defines metrics and measures of effectiveness, and expected outcomes; identifies and/or develops innovative and effective approaches and methodologies; applies advanced operations research and data science techniques for quantitative analysis, statistical analysis, forecasting, predictive modeling, prescriptive analysis, and optimization; and validates analysis and outcomes.
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The primary role of the Medical Science Liaison (MSL) is to engage in meaningful peer-to-peer scientific dialogue with healthcare system leaders such as Regional Thought Leaders (RTLs), National Thought Leaders, and Healthcare Professional (HCPs) within a defined geography to translate science into patient care.
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Experience in data engineering or data science on Google Cloud Platform. Bachelor s or master s degree in computer science, Software Engineering, Data Science or related field, or equivalent practical experience.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Detail oriented Proven communication skills, coupled with an exceptional eye for detail Ability to work in an unstructured environment Ability to apply advanced mathematical, economical, and statistical concepts Ability to process and understand data quickly and creatively Ability to understand model input data and explain outputs Skills in MS Excel, SQL Server and detailed commercial catastrophe models (RMS/AIR/EQE.
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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. Knowledge in advanced statistics, data sciences, coding/scripting languages (Python, R, etc), and databases (SQL, etc.
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advanced excel data science jobs Title: analyst in Chicago, IL
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