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Master's degree in Data Analytics/Data Science, Engineering, Computer Science, Information Technology, or similar discipline. Experience utilizing modern data infrastructure tools such as cloud data warehouses (Snowflake, BigQuery, etc), data integration tools (Fivetran, Airflow, etc), business intelligence tools (PowerBI, Sigma, etc), CRM systems (Salesforce, Everyaction, etc), and other enterprise data tools (such as Airtable) required.
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Computer Science, Statistics, Mathematics, Physics, Econometrics, Computer science or Engineering, Business / Economics. VP, Portfolio Management Data Science.
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Salary: Data Entry Work from Home - Part Time Computer Job. Work from Home Administration - Computer Online Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided.
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Strong computer and systems skills, including office software, access management, CCTV, alarm systems, and incident reporting. Inter-Con Security Systems, Inc. is an affirmative action employer who provides equal employment opportunities to minorities, females, veterans, and disabled individuals, as well as other protected groups.
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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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At least a bachelor's degree in physics, computer science, electrical engineering, mechanical engineering, materials engineering, or related fields. HTS magnets are foundational components of Thea Energy's planar coil stellarator, making compact, simpler, and lower-cost fusion systems possible.
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As a Director, Data Scientist on/in the US Businesses Long Term Care Data Science Team you will partner with Machine Learning Engineers, Data Engineers, Data Analysts and other professionals to build models to determine Long Term Care Estimates.
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Candidates will be considered from any specialization within surface processes/geomorphology; those focusing on coastal processes, natural hazards, or the cryosphere, and who use tools such as numerical modeling, remote sensing, and big data science are especially encouraged to apply.
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Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Sitting at the intersection of quantitative and investment analysis, the professional will be a "hands-on" player/coach building a team of Data Scientists focused on the implementation of Data Science technologies, techniques and methodologies leveraging Artificial Intelligence (AI) and Machine Learning, advanced analytics, and statistical methods.
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Requires experience in cluster management of vendor based Hadoop and Data Science (AI/ML) products like Cloudera, DataRobot, C3, Panopticon, Talend, Trifacta, Selerity, ELK, KPMG Ignite etc.
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BS/MS/PhD in a quantitative discipline (econometrics, statistics, mathematics, physics, computer science etc.) Strong quantitative/statistical skills in the field of predictive analytics with broad knowledge of regression analysis, time series analysis, Monte Carlo simulations, artificial intelligence, and data mining algorithms.
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BSc/BA in IT, Computer Science, or relevant field. Good understanding of computer systems, mobile devices, and other tech products. Experience with ticketing systems and IT service management tools.
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Statistics and Computing (Preferred): Strong knowledge of: Linear Models, Convergence Properties, Asymptotic Theory, Probability, Statistics, Applied Probability, Applied Statistics, Multivariable Calculus, Linear Algebra, Computer Science (Programming Methodologies), and Cloud.
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Graduate-level degree in computer science, engineering, or relevant work experience Preferred: Understanding of ML frameworks (sklearn, TensorFlow, PyTorch, etc) Experience working with big data platforms (Hadoop, Redshift, Snowflake, etc) Architecture, design patterns, production scaling/optimization Insurance industry experience Salary range: $132,500-$197,500 Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No.
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data science computer systems jobs Company: Meta in New York, NY
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