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The primary objective of the Data Organization is to harness healthcare data to support and promote value-based care contracts between health systems, providers, health plans, and other third-party risk bearing entities; incentivize quality, utilization, and experience outcomes; and enhance payment operations with both services and product development.
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Define company data assets (data model), spark, sparkSQL and hiveSQL jobs to populate data modelsCollaborate with cross-functional teams, including Marketing, Data Science, and IT , to understand data requirements and design efficient data pipelines for marketing data integration.
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Reporting to the Senior Director of Technical Analytical Development, the Associate Director of Analytical Science and Technology (AD, AS&T) is responsible for establishing the Analytical Science and Technologies group.
$170,000 - $205,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Familiarity with data warehousing concepts and schema design principles (e.g., Star Schema, Snowflake Schema) Experience with big data technologies such as Snowflake, Hadoop, Spark, Airflow, or Flink.
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BS in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field and 4+ yrs of experience as a Marketing/Product Analyst, Data Analyst, Data Scientist, BI Engineer, Analytics Engineer, or similar role.
$144,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Quant UXRs vary in background using skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields.
$139,000 - $208,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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The Cyber Security Specialist (Data Security) continuously identifies, tracks, shares, and supports operational IT security requirements across the Ninth Circuit, with an emphasis on data security and analysis.
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The Senior Medical Science Liaison has the primary responsibility of building key opinion leader (KOL) partnerships by engaging in the exchange of scientific data and other medical and/or scientific information with external stakeholders (HCPs, researchers, professional organization leadership, patient advocacy groups, and formulary decision-makers) in the assigned Therapeutic Areas (TAs)-Respiratory (COPD/Asthma) across the aligned geography.
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Experience with end-to-end data and algorithm pipeline and DAG development as well as orchestration tools such as Snowflake, DBT, Git, Airflow, Data Science IDEs, etc. The Senior Analytics Engineer is responsible for integrating data into the Enterprise Data Warehouse (EDW) from various internal and SaaS sources using a cloud ELT platform, AWS Lambda/Glue, and Python to support downstream teams with reporting (Snowflake, Databricks or Redshift.
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Working closely with across groups, such as the product, engineering, data science, compliance, and security teams, for data modeling, general management of data life cycle, data governance and processes for meeting regulatory and legal requirements.
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For this role, Cadmus seeks candidates with professional experience in program evaluation, social science research methods, and/or energy efficiency or sustainability. Proficiency using data analysis software (e.g., SAS, SPSS, R, Python, DeDoose, NVivo, ArcGIS, etc.
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A good understanding of hedge fund strategies and their investment processBuild a platform that enables large scale analytics and data science workflowsAladdin - the investment platform used to manage >$15 Trillion of the global assets.
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Collaborate with technical teams to leverage technology solutions for knowledge management within data center construction projects, including document management systems, collaboration platforms, and data analytics tools.
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At least 5 years of experience in data science, machine learning, and statistical modeling. Stay up-to-date with advancements in data science to improve modeling capabilities.
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Collaborate with cross-functional teams, including Design, Engineering, Product Marketing, and Data Science, to execute the product strategy. Analytical skills: You have a great ability to absorb and apply data to your decision making.
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data science jobs Title: data science lead Company: Springboard in San Francisco, CA
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