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Knowledge of big data technologies like AWS Redshift, Hive and Spark. Knowledge in modern data engineering languages: Python, Event Bridge, Step Functions, Lambda, CloudWatch, CloudFront, Pyspark, R and Glue.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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Conduct hands-on analysis of customer and campaign data using analytical and statistical tools such as SQL, R, Python or Databricks to uncover insights and provide program recommendations. The Marketing Data Scientist / Advanced Analyst is responsible for building & developing the necessary skill sets in statistical modeling and advanced analytics techniques to generate predictive models for the Marketing department and further a deeper understanding of our customers.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Design, develop, and maintain data pipelines and ETL processes using AWS Cloud services, Informatica, Python, Airflow. Insight Global is looking for a talented and experienced Data Engineer with strong implementation skills in AWS cloud, Teradata, Python, and expertise in health insurance data domain knowledge.
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As the Director, Data Strategy and Integrations, you'll be responsible for defining and leading data initiatives including Data Integration, Data Cataloging, Data Governance and Master Data Management.
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Gathers, via direct care and/or telephone encounters, clinical data and maintains documentation in the clinical record (initials/dates) to ensure accurate tracking of medical treatment, i.e. chief complaint, vital signs, allergies, medications, advanced directive, growth charts, pain score, health history - i.e. immunization records, allergy injection record, other; completes Comprehensive Health Assessment as indicated annually.
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We are looking for a Senior Data Scientist who is well versed across traditional Machine Learning (ML), Deep Learning (DL), NLP, OCR, and has experience leveraging Large Language Models (LLM) to drive powerful insights and actionable recommendations that empower our customers and users.
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Utilize GCP services such as BigQuery, Google Cloud Storage, Dataflow, and data processing and storage. Automate data workflows and processes using orchestration tools like Apache Airflow and DBT.
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Experience with at least 1 non-SQL database, master data management and taxonomic classification of data. We're seeking a Sr. Business Intelligence Engineer with a strong background in data operations & BI reporting and a passion for data quality and process improvement.
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Actively develops and maintains working partnerships with other state and federal agencies, non-profit organizations, businesses, and technology groups related to GIS and forest data resources.
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We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine. A Master's or PhD degree in biostatistics, data science, biomedical informatics, epidemiology, public health, computer science, applied mathematics, engineering, or a related field.
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Commercial data warehouse/ ETL tools such as, Talend, Informatica, Apache Airflow, etc. Snowflake administration and security, as well as general data security concepts, such as RBAC controls, securing sensitive data such as PII/PHI, encryption in transit and at rest.
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Establish data quality standards aligning to ServiceNow CMDB health metrics and CSDM. Partner with IT Asset Management teams and IT Product Owners to align discovery trend data with asset lifecycle management data requirements.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers.
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