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We offer our customers proven expertise in descriptive, predictive, and prescriptive analytics; advanced mathematics and computational techniques (a.k.a. data science); and software engineering.
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Faculty research interests include algorithms and theory, AI and machine learning, bioinformatics, cyber-physical systems, computer networks, computer science education, computer vision and image processing, computational topology, data science, high performance computing, human computer interaction, open-source software, robotics and remote sensing, security and privacy, and software engineering.
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Master’s degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 – 7 years’ experience in data science or a similar role. Proficient in at least one analytical programming language relevant for data science.
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Work Week: Standard (M-F equal number of hours per day) Posting Position Title: Research Specialist University Job Title: Data Scientist Preferred Education, Experience and Skills: Ph. D. in a quantitative field like Economics, Physics, Statistics, Mathematics, Data Science, Engineering, Health Policy or related fields.
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If the candidate does not have a background in Actuarial science, the candidate should have 4+ years of industry experience building and analyzing machine learning models and should hold a graduate degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering.
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The ideal candidate will have a proven track record in designing, developing, and implementing scalable software solutions leveraging AWS cloud services and Big Data platforms. Join our team and play a key role in building cutting-edge software solutions that leverage the power of AWS and Big Data to drive innovation and business growth.
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Engineering, Data science or another quantitative field (i.e. mathematics, statistics, economics, etc.) Bachelor's degree preferably in Engineering, Data Science (Mathematics, Statistics or Economics.
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Design and develop production ready software using web, cloud and distributed technologies including Apache Spark, Hadoop, Microservices, and CI/CD cloud deployment. Analyze and design data models, data ingestion algorithms and performing data mining to identify patterns for fraud investigation, surveillance, and compliance on structured data sources, including Oracle and Big data solutions.
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Our team is seeking a senior software engineer who will be a core team member for our advertising data platform engineering group. Bachelor degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering or comparable field of study.
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Assist in receiving and staging, marshaling, and accounting for Cadets and cadre and their baggage; When necessary, assist in the synchronizing of ground transportation of Cadets and cadre between the airport and Fort Knox; Make data entries into software programs that are being used to support airport Cadet/cadre reception and departure operations Support operations, as required, including temporary, newly created, and/or geographically separate operations.
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Working knowledge of dashboard data visualization including: AWS Quicksight, Google Looker, and/or Microsoft Power BI. We are specifically looking for someone who understands the role of the digital analytics director and the critical part that this team will play in scaling the digital transformation at SBNA. This person should be completely at home helping build and grow a team that can both lead in the data collection and syndication, as well as in the insights and analytics necessary to drive growth and improve customer experience.
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BS degree in Linguistic, Data, or Business Operations/Management related fields (E.g. Linguistics, Applied Linguistics, Computational Linguistics, Data Engineering, Data Science, etc.
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Desire proficiency in cloud-based computing and data platforms (Azure, Google Cloud, BigQuery, Snowflake, DataBricks) Advanced level skill with SQL, Excel, data visualization (Tableau preferred), query tuning, various database models (normalized / dimensional / data vault / etc.
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Work with top-flight software, mechanical, and electrical engineering talent from places like Google, Palantir, and NASA JPL. We're building the world's most advanced healthcare platform from the ground up, combining hardware, software and doctors under one roof.
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DISH is looking for an accomplished and adaptable Data Science Product Owner to join our innovative team. 6+ years of experience in a product ownership capacity, focusing on data science & analytics.
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tiger software data science jobs Title: engineer
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