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Area of Specialization: Data Management, Computer Science/Software Engineering, DevOps or related discipline Engineering, Cloud Infrastructure, cloud computing or related discipline - Specialized knowledge in data management, software implementation, cloud computing, etc is needed to manage Onyx products.
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What you need to have: Progress towards a Bachelor’s degree in a quantitative or natural sciences field such as applied mathematics, statistics, engineering, operations research, finance, economics, data science, computer science, meteorology, or a demonstrated ability to learn new software and analytical concepts quickly.
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Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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You will drive the delivery and adoption of novel data science approaches across medical imaging, natural language processing/generation (NLP/NLG), autonomous systems, edge-AI, graph neural networks, and other state-of-the-art applications.
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Basic Knowledge of NEPA procedures and requirements · Knowledge of Section 106 procedures and requirements · Working knowledge of GIS · Basic Understanding of either the NEPA and Section 106 processes, or MasterWorks PREFERRED QUALIFICATIONS: · Advance degree in data science, computer science, statistics environmental science, engineering or other applicable field.
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Team Management: Lead, develop, and build a team of data professionals, including data analysts, data engineers, and database managers to shape the next generation of data capabilities within the organization QualificationsBachelor’s or Master’s degree Computer Science, Information Technology, Data Science, Statistics, Data Analytics, Business Information Systems, Mathematics, or a related field.
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RequirementsPossess an advanced degree (PhD or MSc and equivalent experience) in Data Science, Computer Science, Statistics, Mathematics, Linguistics, or a related discipline Possess current work experience (Not Just lab experience) in expanding capacities as a Data Scientist.
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Data-driven, evidence-based learning and instructional models, including SESI’s own positive behavioral interventions and support (PBIS) framework called CASE.An attractive and robust suite of benefits, including comprehensive healthcare benefits, 401(k) with employer match, employee assistance program, mental health support, fertility and family building, and more.
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2+ years of industry experience in Data Science/Machine Learning as a data scientist/technical lead developing ML models with a business impact. Deliver data science projects delivering innovative technical solutions improving healthcare outcomes.
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We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology.
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BS/MS in engineering or atmospheric science and 5+ years of solar resource and battery storage modeling experience – wind generation experience a plus! Experience conducting statistical analysis on solar and battery data, including forecasts and technology suitability evaluations.
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The Sportsbook team here at Penn is responsible for working hand-in-hand with our Data Science, Engineering, and Data teams to support efficient development and deployment of models, forecasts, and simulations to help improve theScore Bet and ESPN Bet. Our team values creativity, collaboration, ingenuity, and ownership.
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Bachelor’s degree, Master’s degree, or undergraduate Juniors or Seniors pursuing a degree in Finance, Accounting, Business Administration, Economics, Statistics, Mathematics, Computer Science, Data Analytics, or a related field, from an accredited university.
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As a Senior Data Scientist within PNC's Asset Management Group (AMG), you will join the Data Analytics and Solutions team to solve some of the most impactful business problems using a variety of analytics and data science approaches.
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data science jobs in Philadelphia, PA
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