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Minimum Requirements D. in Computer Science, Biomedical Engineering, Data Science, or related quantitative fields. We are seeking a Research Assistant Professor with a specialization in computer vision and ophthalmic AI. This individual will engage in cutting-edge research, mentor graduate students and postdocs, secure external research funding, and lead departmental initiatives around AI and data infrastructure.
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Platform knowledge· In-depth knowledge of MS Office tools such as PowerPoint, Outlook, Word, and WebEx for effective communication· Proficiency in Project Management and work item management tools such as Azure DevOps and Portfolio· Proficiency in Program Management tools such as MS Project, Visio, and Excel· Strong foundation in algorithms, data structures, and core computer science concepts· Experience in existing Operational Portals such as Azure Portal· Fluency with.
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Proficiency in SQL, Python and working with Data Science tools (e.g., git, kubernetes, Docker, etc. Experience with LLMs and Deep learning models to develop business and data science solutions.
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Oversee real-time market data feeds, ensuring accurate processing to support strategic decision-making. Strong academic background in a STEM discipline, preferably in computer science. Your focus will be on maintaining the reliability and efficiency of ultra-low latency trading systems, driving innovation in the algorithmic trading landscape.
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Develop solutions based on large health claims and risk datasets such as eligibility data, medical claims and prescription drug claims data from multiple different sources, demonstrating deep expertise in risk adjustment and related claims adjustment methodologies.
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Proficient with data manipulation, analytics, modeling, and visualization tools (e.g., SQL, Alteryx, MS Office, Power BI, Tableau, R, Python) Bachelor's degree in actuarial science, mathematics, finance, statistics, economics or related field.
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Graduate Degree Mathematics, Statistics, Quantitative Finance, Engineering, Computer Science or Related. Perform data analytics such as data mining, statistical analysis, and predictive analytics and develop, document, and support the deployment of quantitative models, which are used for decisions and product management through member lifecycle including acquisition, activation, utilization, relationship deepening and retention.
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At least 5 years of experience in securitized cash flow modeling or model development with a data science background using consumer, commercial borrower, or customer behavior. Intense collateral performance analysis of consumer and/or commercial asset classes involving large, multi format data sets including: auto loan, consumer unsecured loan, point of sale finance, timeshare, small business loans, equipment finance, and/or leveraged credit.
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Now, we are on an unstoppable mission for an Associate Director, Data Science, to join our team. At AbelsonTaylor Group (ATG), we love science, art, and data. Data Storytelling: Tells a story when presenting data, with visualizations that support conclusions and insights.
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A BSc or MSc in a life science sector. Perform downstream process at multiple scales in a cGMP environment, column packing, process troubleshooting and data analysis. Global Life Science Hub is partnered with an incredible biopharmaceutical company specializing in difficult-to-formulate biologics.
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They use proven educational models for social-emotional learning, personalized learning, and data-driven differentiated instruction in a culturally-sensitive manner. Submit your resume here to be considered for possible Math or Science Teacher opportunities within our network of 12 elementary schools, two high schools, and one K-12 school for the 2023-2024 school year.
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Experience with common data science and ML frameworks, such as numpy, pandas, Spark, scikit-learn, TensorFlow, and PyTorch. The successful candidate will have extreme intellectual curiosity, perseverance, good academic knowledge of machine learning models, statistical techniques and will demonstrate strong programming and large-scale data engineering skills.
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Master Data Management: Support the wider MDM and business teams to ensure alignment and compliance to Ingredion’s Master data policies and procedures. RequirementsBachelor's degree in computer science, information systems, engineering, food science or related field.
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Master’s degree in Psychology, Child Development, Human Development & Family Studies, Education, or other data/social science field. The Research Associate largely assists with research and evaluation activities, including study implementation (e.g., assisting with IRB/gathering data agreements; data collection), data cleaning and management, basic data analyses, and data sharing (e.g., visuals, reports, presentations.
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Experience with data analytics from end-to-end, i.e., including ideation, proposal creation, getting stakeholder buy-in, gathering requirements, designing analytics models/solutions, building prototypes, and working with IT/Data Science teams to deploy and scale solutions.
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data science jobs in Cicero, IL
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