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Demonstrated track research record in the fields of statistics, machine learning, computational biology, data science or related field (computer science, physics, biostatistics, bioinformatics.
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This role will lead a team of data engineers, data scientists, epidemiologists, and statisticians and combine enterprise data management, data engineering, and data science to enable comprehensive insight into community health, real-time health monitoring, and the impact of health interventions by leveraging public health, health care, social service, census, and other related data from internal and external sources.
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Foster the adoption of data science research tools and outputs within Accenture (econometric modeling, text analytics, sentiment analysis, data-wrangling, machine learning, web-scraping etc.
$63,200 - $169,800 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Act as a subject matter expert in marketing measurement science, specifically MMM + MTA unified-model measurement and media KPIs. Remain aware of data inconsistencies and work with IT, Tapestry Data Labs, Tapestry COE and/or the brand’s Agency of Record to ensure data efficacy & quality.
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The Senior Research Grant Analyst will work with Principal Investigators and the Grants Management team to effectively manage a complex portfolio of externally and internally sponsored agreements and ensure accurate and timely processing of financial data.
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Cross-Functional Collaboration Work closely with Analytics Engineering to ensure the data ecosystem is conducive for data science modeling purposes. Lead Innovative Data Science Capabilities Lead the design, delivery, and scaling of innovative AI solutions across the organization – from pilot phases to full-scale implementation.
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Bachelor's Degree in Environmental Science, Ecology, Natural Resource Management, or a related life sciences field. Assist with preparing environmental survey reports, data entry, impact assessment, and assist with permitting activities for assigned projects (e.g. Endangered Species Act, Clean Water Act permitting, CEQA, NEPA, etc.
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Graduate-level degree in computer science, engineering, or relevant work experience Preferred: Understanding of ML frameworks (sklearn, TensorFlow, PyTorch, etc) Experience working with big data platforms (Hadoop, Redshift, Snowflake, etc) Architecture, design patterns, production scaling/optimization Insurance industry experience Salary range: $132,500-$197,500 Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No.
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Preferred Skills- Advanced knowledge of, and high proficiency with SQL, Tableau and/or Salesforce as well as knowledge of other analytic, statistical and/or data management programs/software (i.e.: R, SPSS, Power BI, Python.
$68,262 - $78,501Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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The Asset Management Quant Research Engineering team is looking for a Vice President of Data Engineering who wishes to take on the challenge of building a world-class data operation.
$124,000 - $262,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Support Associates up to Managers on retrieving, compiling, and formatting of large volumes of data (ETL), Requirements: Bachelor’s degree in Marketing, Advertising, Economics, Computer Science, Information Systems, Business Analytics, or related field.
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Act as a subject matter expert on Provider Data Management goals and strategies for operational excellence. Reporting to the Vice President of Provider Network Operations, the Director of Provider Data Integrity and Program Management is responsible for ensuring the highest standards are met for accuracy, accessibility, and availability of the network, including oversite of various vendors.
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VP, Portfolio Management Data Science. Will lead initiatives to enhance processes and infrastructure, leading the implementation of data science initiatives, applying expertise in develop monitoring reports, dashboards, and predictive models to enhance risk assessment capabilities.
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At J.Jill, our success is guided by a culture that values the intrinsic art of creativity and the data science required to drive our future growth. We are collaborative and data-centric, with every associate focused on creating our customers unique experience and delivering results through our omnichannel business model.
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Working with large, complex data sets to build models and leverage data visualization tools to provide insights to clients; and utilizing digitization tools to reduce hours and optimize engagements.
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data science jobs Title: management Company: Verizon in Jersey City, NJ
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