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Hands-on experience with advanced security technologies and tools, such as Google Chronicle, EDR solutions, SIEM, IDS/IPS, and threat intelligence platforms. The ideal candidate will possess a strong background in cybersecurity data engineering, detection engineering, response engineering, incident response, and team management, with a proven track record of effectively managing MDR services or SOC operations.
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Technical Acumen:Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Technical Oversight:Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs.
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Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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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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The Medical Science Liaison (MSL) is responsible for identifying disease and product related medical needs in a defined geography. Understand the competitive landscape and evolving healthcare models and actively prepare to address informational needs of customers Identify opportunities to partner with HCPs on disease state initiatives, collaborative research projects, and investigator sponsored research (ISR) of interest and in alignment with BMS strategic objectives Attend medical congresses and local/regional meetings.
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Data entry, data review, and GPS use. REQUIREMENTS:BS/BA degree in natural science field of study required. Ability to work outdoors in variable weather conditions and on challenging terrain.
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This role will perform hands-on delivery of data analytics projects with focus on process automation, contributing to the development and unit testing of solutions. Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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1+ years experience with hands on work in the aerospace or related field. 4+ years experience with hands on work in the aerospace or related field. Hands on operations with both large and small fragile assemblies.
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Bachelors or Masters in engineering, math, physics, computer science, economics or equivalent Preferred Skills Experience with Snowflake, Azure Power BI Certifications Experience in an Agile environment Experience with Python for data analysis and automation tasks.
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Top Data Science Providers in India 2022: Penetration and Maturity (PeMa) Quadrant. India’s most promising data science companies in 2022. Tools: Azure PowerBI QLik Snowflake Anaplan Location : Dallas CTC : 120K - 170K Benefits About CloudHire: Our Client: As a data analytics and enterprise planning powerhouse, CloudHire Solutions helps its customers bring out the most sophisticated insights from their data in a value-oriented manner.
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Undergraduate degree in electrical engineering, computer science, computer engineering, materials science, physics, or an equivalent degree. The preferred candidate will have an undergraduate degree in electrical engineering, computer science, computer engineering, materials science, physics, or an equivalent degree.
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Hands-on experience with big data analytics modeling and enterprise-level BI/Data Visualization tools and platforms such as: AWS Azure, Synapse, PowerBI, Tableau, Palantir, Databricks, MSSQL, BigQuery, etc.
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Support vendor risk management and DPIA programs to ensure third parties comply with the Firm’s privacy and data protection requirements. This role requires Data Loss Prevention (DLP) program experience, including conducting investigations related to data loss, data exfiltration, or unauthorized access or use of data, or experience using eDiscovery solutions or similar technology.
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Master s degree in Epidemiology, Biostatistics, Computer Science, or other subject with high statistical content and a minimum of 4 years industry SAS statistical programming experience. Experience with real world healthcare data such as MarketScan, Optum, EMR, EHR, DRG, PharMetrics, and/or Medicare databases.
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Required: Expert knowledge of Oracle Cloud HR systems, with at least 5+ years of hands-on experience in Core HR and Absence. This role is ideal for someone comfortable with hands-on responsibilities, collaborating across teams and various stakeholders and small project management.
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hands on data science jobs Title: full stack software engineer in Dallas, MD, Germany
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