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Minimum 2 years of management and leadership experience Knowledge of Windows workstation platforms, Azure AD, Intune/Modern Management, GPO, Microsoft o365, Microsoft Endpoint Configuration Manager (formerly SCCM) Limited immigration sponsorship may be available Preferred Technical skills: Data Science / Analytics using a multitude of data sources.
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As a Data Scientist, reporting into the Head of Data & Strategy at TRKKN North America (NA), you’ll focus on building scalable machine learning and AI products to help evaluate and optimize the business impact of our clients’ marketing investment.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Graduate degree in Management Information Systems, Business Administration and Management, Business Analytics and Information Systems, Statistics, Mathematics, Computer Science, Physics, Economics or a similar degree.
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Currently pursuing a Bachelor’s degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field and no experience and will obtain degree prior to first day of employment.
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Oversee the design, development, and management of scalable and reliable data engineering solutions that support data products deployment for use in advanced analytics, data science, and AI initiatives.
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2) Work with internal stakeholders, data science team to scope the requirements, evaluate business needs and objectives. JOB DESCRIPTIONJob Duties:Fox Cable Network Services, LLC seeks a Database Architect (Senior Data Engineer), as a key member of the Data Services Management team, will play an essential role in envisioning, implementing, and evangelizing new features, pipelines, and platforms that not only deliver data but insight.
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We'll look to you to provide our clients with a unique business perspective on how data science and analytics can transform and improve their entire organization - starting with key business issues they face.
$135,240 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience building and optimizing best practice Enterprise Risk Management, Third Party Risk Management, Risk Quantification, as well as Data Governance and Artificial Intelligence (AI.
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HPBIND Key Words: Campaign Strategy Lead Generation Customer Acquisition ROI Optimization Cross-Channel Marketing Performance Metrics Vendor Management Influencer Marketing Digital Marketing Content Optimization A/B Testing Team Leadership Budget Management Sales Funnel Management Audience Segmentation Brand Alignment Market Research Customer Engagement Creative Collaboration Marketing Automation Data-Driven Insights KPI Tracking Cross-Team Collaboration Marketing Analytics Powered by JazzHR.
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Desired Background PhD in Computer Science or related field 4-8 years of professional experience with relevant experience building and designing distributed data systems Knowledge of statistics, data science, AI/machine learning, big data management Strong proficiency in Python and an additional language (e.g., C.
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With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate, and scale the most desirable products and delivery models to enterprise scale within weeks.
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Demonstrated experience with big data processing systems and distributed computing technology such as Databricks, Spark, Sagemaker, Kafka, Tidal/Airflow, etc. How you will contribute:Be a leader of the RDQ data program that includes integrated data flows with end-to-end data management control mechanisms, internalization of enterprise systems, enablement of automation, near-time data access/streaming data sets, efficient data query review, and flexibly allow inspiring technologies for insight derivation.
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We’re helping patients get the best care possible by working on digital health experience, analyzing big data to streamline the delivery of care, and reaching out to medically complex patients to better understand their needs.
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Collaborate with IT and data science teams to leverage big data and artificial intelligence in pharmacovigilance. Skills: Expertise in pharmacovigilance processes, risk management, and regulatory requirements.
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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus. Implementation experience of Big Data technologies like Hadoop, Spark, Presto, Hive, and Hue will be a major advantage.
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big data science management strategy jobs Title: business manager
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