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Utilize and develop queries and reports from the HRIS system (PeopleSoft), CAVE, and Cognos using appropriate data science and business intelligence tools (Python, R, SQL, Tableau, Microsoft Office,); and analyze data using descriptive (e.g., means, percentages) and inferential statistics (e.g., ANOVA, t-test, regression modeling techniques.
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This role involves collaborating with cross-functional teams to translate business requirements into technical solutions, maintaining data integrity and compliance, and driving innovation in data engineering practices.
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Must be enrolled full time at a 4-year accredited university/college in a Computer Science, Computer Engineering, Data Science/Analytics, Data Visualization, Marketing Analytics, Math, Stats, Software Engineering, Information Systems, Systems Engineering or related degree.
$40.7 an hourFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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The Human Resource Operations teams will represent Coca-Cola Consolidated in all HR master data design/execution strategies as well as supporting the HR Service Center. 5+ years of proven Master Data Management design/implementation experience with org and personnel management, and/or 5+ years in HR Operations or support HR as a business partner.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Airflow, Redshift, Databricks, EMR. Experience with data warehouse platforms such as Redshift, Databricks, Big Query, Snowflake.
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Strong Life Sciences R&ED Data Information Architecture Development – Functional and Technical experience. A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
$325,800 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Technical Expertise: Deep understanding of data engineering principles, data modeling, ETL processes, and data warehousing/data lakes. Experience with cloud platforms (e.g., AWS, GCP, Azure) and data storage solutions (e.g., Redshift, BigQuery, Snowflake.
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7+ years of experience in Data Architecture or Data Engineering, with expertise in technologies such as DBT, Snowflake, and Azure. The ideal candidate will have experience with DBT, Snowflake, Python and Azure, along with a strong foundation Big Data, and Cloud Platforms.
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Serve as a technical resource to the study teams for DM and RBM standards, tools, data provisioning, and reporting. Experience using relational databases (e.g. MS SQL Server, MS Access, or Oracle) and data visualization tools (e.g. Spotfire, jReview.
$155,900 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Lead/Assist requirements gathering sessions with business and technical stakeholders to distill business and technical requirements, priorities, define key performance indicators (KPI) in development/support of the Bl, Data Warehouse & Data Science roadmap defined by the Business & Data Teams.
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Work with internal (IT technical and functional) and external (vendor) partners to source, review, and deliver data-related solutions for projects. Experience with AWS and Databricks or similar data engineering platforms is a plus, particularly in the context of large-scale data processing and analytics.
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We deliver a blockchain intelligence data platform to financial institutions, crypto companies, and governments to fight cryptocurrency fraud and financial crime. As a Data Science Senior Manager at TRM, you'll assume full responsibility for developing custom models, algorithms, and data products integral to enhancing TRM's UX. Working closely with a skilled team of engineers, data scientists, and research scientists, your objective will be to unearth valuable and defensible insights essential for detecting, preventing, and mitigating cryptocurrency fraud and financial crime.
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Serve as Clinical Data Scientist and Trial Lead for one or more clinical trials assuming responsibility for all CDS activities including selection and application of data acquisition standards, Data Management Plan, selection of quality risk indicators, third party study data due diligence.
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The Data Center Technician II will be responsible for day-to-day data center support activities, including but not limited to: Server and network hardware installation, copper / fiber-optic cabling, "layer 1" troubleshooting and IT asset management.
$40 an hourExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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We combine data and context to paint the whole picture for our clients, around the clock – from around the world. Specifically, you will use ontologies, taxonomies, and other semantic foundational components to enhance data interoperability, metadata management, artificial intelligence applications, and more.
$170,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago
data job Title: technical Company: Asml in Edgewater, Colorado
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