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Data governance: Defining governance policies and procedures to ensure data quality, security, and compliance throughout the organization, including metadata management, data privacy, and regulatory compliance.
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Apex Systems is seeking an experienced Clinical Data Scientist for one of our Fortune 50 clients. The team is seeking a clinical research data scientist / biostatistician who will report to the Manager of Health Technology Research and work alongside clinical research data scientists, biostatisticians, machine learning and signal processing scientists to execute analyses and reporting for digital health projects aimed at improving health outcomes throughout the world.
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Your responsibilities will include: - Developing data visualization solutions using tools like Tableau, Power BI, and/or Qlik - Cleaning and reviewing data scripts using Python and other tools - Creating additional data visualization capabilities as needed - Ensuring data quality standards are met - Developing training materials - Analyzing current processes and suggesting improvements - Organizing and leading client meetings - Summarizing and presenting information and reports to the team.
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Works closely with DOHMH research scientists and technical staff to plan, develop, implement, and evaluate protocols and research related to CIR data quality assurance. The Data Analyst will conduct analyses of CIR data and produce graphs, maps, and reports related to immunization distribution, inventory, and uptake to support the COVID-19 Vaccination Program and the Vaccines For Children (VFC) program.
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5+ years in a Data Analyst and/or Data Scientist capacity. The data analyst is responsible for overseeing our data systems and reporting frameworks, guaranteeing the integrity and precision of data.
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Proactively identify opportunities for process improvement and optimization to enhance data reliability, quality, and accessibility. Azure Integration: Work with Azure services such as Azure Data Factory, Azure Databricks, and Azure SQL Database for data integration, processing, and storage.
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This position will serve as Project Director and lead analyst overseeing and coordinating the data elements needed to fulfil the requirements of a newly awarded Federal State Maternal Health Innovation Program Grant.
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We integrate off-the-shelf and new development efforts to sustain and enhance Defense Intelligence Agency’s (DIA) National Media and Exploitation Center (NMEC) architecture by leveraging cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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As the Data Scientist, you will use Google Cloud Platform (GCP) tools and technologies, such as Vertex AI and BigQuery, to build, deploy, and monitor scalable and robust machine learning solutions.
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Link data sets from program risk profiles, program baselines, financial and/or grants data, Capital Planning and Investment Control systems, internal review boards, USA Spending, US Census bureau surveys, internal survey data, and other data sets that need to be linked together.
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Enhance/Develop/Sustain current decision support tools or replacements along with internal and external portals using data/ tools such as Army VANTAGE, ADVANA, Microsoft Power Automate, data visualization tools (Tableau, Qlik, PowerBI), Python with data libraries of (PySpark, Pandas, NumPy), Structured Query Language (SQL), Statistical Analysis System (SAS), Oracle, Microsoft Azure, Microsoft Suite of products, machine learning methods, and other data analytics tools, as necessary.
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Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc. Extensive hands-on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, AutoScaling, CloudFormation, LakeFormation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, Cloudtrail, CloudWatch, Docker, Lambda, Spark, Glue, Sage Maker, AI/Client, API GW, etc.
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3-5+ years of experience working as a data analyst/data scientist. Prior experience in building data visualizations and familiarity with products like Tableau or google data studio or looker.
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We are seeking a Senior Data Analyst to help develop MLT’s insights on advancing racial equity and socioeconomic mobility. Manage large datasets and perform data quality checks to ensure the validity of analyses.
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The position will work across the Pharmaceutical's Global Supply (PGS) organization in conjunction with the Bioprocess R&D organization to develop multivariate data analyses, machine learning models, mechanistic models, and simulations for the characterization of bioprocesses and operations at multiple scales.
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data job Title: quality data analyst Company: Apex Systems
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