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A Baccalaureate Degree from an accredited college or university with a major in Computer Science, Systems Engineering, applied Mathematics, Business Administration, Economics/Statistics, Telecommunications, Data Communications, or a related field of study; and.
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Ph. D. in Bioinformatics, Computational Biology, Genetics/Genomics, Bioengineering, Computer Science, Biostatistics, or a related field. Lead the Biological Data Science department, managing a team of computational biologists, bioinformaticians, and data engineers.
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Through the WSS curriculum and faculty, students will be introduced to the powerful impact that mathematical prowess can have in solving complex challenges in a wide range of disciplines, including physics, biology, genetics, computer science, neuroscience, robotics, artificial intelligence, among others.
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New York Institute of Technology's six schools and colleges offer undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity; biology, health professions, and medicine; architecture and design; engineering; IT and digital technologies; management; and energy and sustainability.
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Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake.
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Bachelor's degree in Financial Engineering / Quantitative Finance, Math, Statistics, Data Science, Engineering, Economics, or other relevant program. Quantitative skills in the areas of structured finance, credit derivatives, default and recovery modeling, and / or credit risk management.
$58,300 - $115,850 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Committees may include topics such as AI/machine learning, ethics, natural language processing, data definitions, data governance, genomic/pathology/radiology and other specialized clinical data systems, Epic, internal and external data reuse, learning health systems and translational science.
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Recruitment and Team Development: Lead recruitment initiatives for the Data Science team, advise on market positioning, and support the operational and career management of data science consultants.
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What You Will Do : Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.
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Master's degree in Actuarial Science, Mathematics, Finance, Statistics or related field (willing to accept foreign education equivalent) and three (3) years of experience working with pricing, valuation or asset liability management (ALM) actuarial models within the life insurance domain.
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We are looking for an experienced data scientist with a strong background in LLM and Generative AI. The data scientist will develop advanced data science solutions using LLM to enhance various aspects of their business, such as underwriting, claims, and customer service.
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Extensive experience with DBT and Snowflake for data warehousing, demonstrated through the creation and management of complex SQL/ETL/ELT data workflows. Degree in Computer Science or Software Engineering, or relevant industry experience.
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Your mission is to harness data and apply advanced technologies such as machine learning, computer vision, generative AI, predictive analytics, and data visualization. Mastery of algorithms, methodologies, and tools across various AI fields, including machine learning, computer vision, NLP, and generative AI.
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You will also be responsible for identifying and building valuable use cases for data within the financial services domain (e.g., trading, broker-dealer, asset management, investment management.
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computer science data management jobs Title: college aide in New York, Ashburn, Virginia
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