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6+ years of experience in data science, analytics or quantitative intelligence analysis/digital forensics, and demonstrating progressive technical development and outcomes. Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, digital forensic experts, network engineers, senior investigators, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.
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Use of statistical and programming software (e.g. SAS, R, JMP, Python, SIMCA) to apply a broad range of data science and statistical applications, such as linear regression, DoE, multivariate analysis.
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Job Requirements: PhD degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 3 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
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The faculty in the department conduct research in areas such as cybersecurity, cyber identity, computer vision, data science, big data, quantum computing, artificial intelligence and machine learning, cloud computing, software engineering, multi-agent and social computing.
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The Co-Op Flight Safety Data Science responsibilities include providing support to the Flight Safety Data and Decision Science Team (DDS) along with the Aviation Safety Action Program (ASAP), Air Safety Investigation (ASI), and Flight Operational Quality Assurance (FOQA) programs.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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Responsible to analyze the trade / transaction monitoring alert from a trading platform and apply modern data science modeling techniques to predict future disputes & anomalies to proactively manage the risk.
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Keep list of data steward up to date in the data governance catalog. Currently enrolled in a Bachelor’s or Master’s degree program, majoring in Business, Economics, Computer Science, Communication, Engineering (minimum rising junior preferred.
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Master's degree in data science, Computer science, demography, public health, social sciences, epidemiology, statistics, or related field. The Maternal, Newborn, Child, and Adolescent Health (MNCAH) portfolio of the Health and HIV Unit, Data and Analytics Section of UNICEF New York Headquarters maintains and updates a global MNCAH database which is a key source for country- and regional-level MNCAH data.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Related degrees may include Soil Science, Agronomy, Agricultural Engineering, and Natural Resource Conservation. Sets up simulation model experiments with appropriate inputs, utilizing available software tools to pre-/post-process data for modeling, and programming, for preliminary interpretation of the simulation results.
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NET, MS Access, Oracle, SQL Server, Sybase, PL/SQL, SQL, TSQL, SSIS, SSRS, Tableau, TOAD, ERWIN, Data Modeling, Data Quality, Data Governance, Data Visualization, Java, HTML, SAS, R, Python, and other statistical/financial analysis tools and Graphical/presentation design tools, and the Internet in a Windows and UNIX environment.
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VP, Data Science RWE | Top 5 Pharma. Build QSP models integrating biological, pharmacological, and physiological data to support drug development at all stages, from preclinical research to clinical trials and beyond, aiding in dose optimization, biomarker identification, safety and efficacy assessment, drug development decision-making, etc.
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Experience with working in cloud-based data science, database, big data processing, and reporting tools – preferably on Azure such as Azure ML, Power BI, Azure Data Explorer/KQL, Synapse, Databricks, etc.
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CSS is seeking a Marine Ecologist for full-time employment to support NOAA's Marine Spatial Ecology Division in the National Center for Coastal Ocean Science (NCCOS) in Silver Spring, MD. Use established- and develop novel- approaches to conduct ecological assessments using fish telemetry/tracking systems, bio-physical data, remote sensing, and human-use data.
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data science jobs Title: science Company: Springboard
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