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Support Classified Data Science work involving R, Python, Hadoo p and Hive. Languages: R, Python, SQL, VBA Software: Tableau, SAS, MATLAB, Excel, Access HDFS, Hue, Hive, Impala Experience working with noisy intelligence and operational data sets from multiple disparate sources to include unstructured, structured and sensor data in many disciplines such as all-source reporting, geographic information systems, biometrics reporting, imagery intelligence, signals intelligence, human intelligence, and open-source intelligence.
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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 for business intelligence (BI), to predictive analytics, machine learning, and artificial intelligence.
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Preferred Job Qualifications Experience conducting qualitative and quantitative social science research, from data collection through analysis and publication. Expertise in collecting and analyzing social science data for natural resource policy research projects.
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Data collection, simulation, and verification of Photolithography processes including recipe setup and Optical Proximity Correction (OPC) This is an exciting opportunity for candidates with lithography, Optical Proximity Correction (OPC) data collection, metrology, lithography software and/or modelling capabilities who enjoy a technical challenge working with equipment, processes, and process integration.
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Minimum of five (5) years of professional experience in a Data Engineer role, preferably in the energy industry with a graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
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Experience working with tools, including object-oriented programming (Python, Java), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn). Masters degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline is required.
$76,224.72 - $113,633.52 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Key customers include the Chief Clinical Research Officer, the Chief Scientific Officer, the SVP of Research Operations, Chief of Population Sciences, Data Science Chair, and various faculty leaders of the following research areas: Cancer Genetics, Data Science, Population Science, Preventative Cancer Therapies, Hematologic Neoplasia, Computational Oncology, and Pediatric Hematology.
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Principal Data Scientist: Biostatistics will report to the VP, Data Science and will focus on providing strategic input and technical expertise on statistical methodology to support the research and development organization for assigned projects They will participate as active members of a cross-functional team to plan, lead and execute the tasks required to support the clinical development for the assigned programs.
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Experience in Data Science, Data Mining, Machine Learning, Predictive Modeling best practices. Experience in Data Science, Data Mining, Machine Learning, Predictive Modeling best practices.
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4 years of experience in managing, and mentoring data science, data engineering, and/or analytics teams in the financial services industry. 4 years of experience in managing, and mentoring data science, data engineering, and/or analytics teams in a highly regulated environment.
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NEX combines state-of-the-art supercomputing, Earth system modeling, and NASA remote sensing data feeds to deliver a work environment for exploring and analyzing terabyte- to petabyte-scale datasets covering large regions.
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Agility to collaborate and influence peers and business partners as organization matures across Enterprise Marketing Data & Analytics (e.g., marketing and ad tech. 10 years of experience working in data and analytics, including data governance and data innovation across an organization developing strategies, managing major initiatives, and delivering.
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Comprehensive knowledge of data integrity/privacy practices and applicable risk and compliance management framework. Comprehensive knowledge of data integrity/privacy practices and applicable risk and compliance management frameworks.
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Contribute to the further enhancement of the data science platform and infrastructure jointly with the data engineering team. Matchpoint Therapeutics is looking for an exceptional scientist who can develop and integrate cutting-edge data science solutions in collaboration with other scientists and engineers.
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8+ years of experience in data engineering or full-stack quantitative analytics/data science roles. Experience working with data SaaS and BI tooling (Fivetran, Looker, Databricks, etc.
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data science jobs Title: data engineer Company: Humana
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