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The Company's advertising sales organization, which operates as SiriusXM Media, leverages its scale, cross-platform sales organization and ad tech capabilities to deliver results for audio creators and advertisers.
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A master's degree in a social science, public health, statistics, computational sociology, data science, or equivalent training in a related field and a minimum of five years of progressively responsible related work experience; or a bachelor's degree in a related discipline and seven years of progressively responsible related work experience.
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Understanding of cloud security concepts (SaaS, PaaS, IaaS), mobile architecture, network and application security and/or data protection, preferred. The Information Security Engineer will play a crucial role in safeguarding the company's assets and ensuring the confidentiality, integrity, and availability of our information systems and data.
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2+ years relevant work experience in applied data analysis for social science or public health research or policy advocacy. Masters degree in social science or public health field such as epidemiology, econometrics, health services research, health informatics, sociology, criminology or other related quantitative/computational discipline.
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Applying data science methods (i.e., statistical modeling, machine learning techniques regression, forecasting / predictive modeling, decision trees) to healthcare and Life Sciences business problems.
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Construction Management, Materials Science, Materials Science and Engineering, Project Engineering & Management, Risk Management, Civil Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering.
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Our staffing agency represents a privately-held data visualization SaaS company that has raised $6 million in Seed funding from nine (9) established VC and Angel investors, including Point 72 Ventures, Silicon Badia, and Giant Machines.
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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
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Possesses a minimum of 3-5 years of software/SaaS sales experience. Engaging Decision Makers: Proven skill in engaging internal stakeholders, identifying supporters or critics, and leading strategic data-driven discussions to drive business growth and secure a full-cycle SaaS deal.
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Well-developed critical thinking and problem-solving skills required to apply technical knowledge to reach conclusions from testing results, data collation, computations, statistical analysis and arriving at the most effective, economical, and logical solution.
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Evaluates clinical and biomarker data sets from biostatistics and data science, contributes to data analysis, data reviews and interpretation, authors and ensures the quality of study reports and other relevant documents, presents results and insights to internal core teams accompanied by specific, decision making, recommendations.
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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Graduate Degree in Medicine, Biomedical Informatics, Epidemiology, Computer Science, Data Science, Engineering, Public Health, Economics, Biostatistics, Health Policy, Statistics, Biometrics, or equivalent experience.
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Works closely with leaders within data engineering, data architecture, data science and domain experts, to build and maintain roadmaps against the IT strategy. Able to articulate the holistic benefits of data engineering from a business perspective, while maintaining the relationship with business analysts, data scientists, technical engineers, and project managers.
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Bachelor's degree in computer science, Engineering or other related technical discipline or relevant experience. NYCJA's Information technology team provides strategic vision, leadership, and innovative solutions so that our 280+ staff at 13 locations have the trusted data and applications they need to provide high quality pretrial services and research.
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saas sales technical data science jobs Title: customer success in Newark, NJ
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