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Demonstrated experience applying data science methods to real-world data problems. Sharecare is searching for a Data Scientist/Statistician who will support our product, delivery, sales, leadership and marketing teams with insights gained from analyzing company data.
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We are looking for an excellent Staff Streaming Data engineer with extensive data engineering experience for our data science platform supporting NVIDIA's cloud platform services.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Both Levels: Each year (30 semester hours) of coursework in data science, business analytics, computer science, computer information systems, management information systems, accounting, finance, mathematics, statistics, economics, or a related field may be substituted for one year of full-time experience in data analysis, research, compilation, and/or reporting work.
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Actuarial Science, Business Administration/Management, Commerce, Computer and Information Science, Computer Applications, Computer Engineering, Data Processing/Analytics/Science, Economics, Engineering, Engineering and Business, Electrical Engineering, Finance, Information Technology, Management Information Systems, Mathematics, Mechanical Engineering, Operations Management/Research, Risk Management, Software App, Statistics.
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10+ years of experience in developing test automation utilities for data reconciliation validation using python data science libraries. Title:Sr. Big Data Developer with ETL testing.
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Recognizes areas of inefficiency in code or systems operation and offer suggestions for improvements and recommends advancements, innovations and changes in technologies (specifically relating to data engineering, cloud data platforms, data models, enterprise information management, business intelligence and data science.
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Proficiency with advanced data science techniques, such as neural networks, natural language processing (NLP), or unsupervised learning methods. In-depth understanding of data science methods, including regression, classification, tree-based methods, and time series analysis.
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SQL Developer (Data Analyst/Report Writer) 4 Required Writing SQL reports that access data stored in databases such as SQL Server, DB2, and Oracle. 4 Preferred Graduation from an accredited four-year college or university with major course work in Computer Science, Statistics, MIS, IST or a related field.
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Experience using one or more relevant data science programming languages such as, R, Python, SQL, MATLAB; the use of an integrated development environment (IDE) such as, RStudio. Experience in the use of relevant data science programming languages such as, R, Python, SQL, MATLAB, and experience using an integrated development environment (IDE) such as, RStudio.
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Reporting to the Director of Product, the Senior Data Analyst will deliver high-quality strategic and tactical analysis; collaborating with the product, engineering, data science, business intelligence, member experience and operations teams.
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As one of the members of the Data Science team, you will play a crucial role in shaping the future of Airtable by deepening our understanding of how people use the open-ended toolkit that Airtable offers.
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Interact with Product, Data Science/Analytics, and Data Engineering teams to iterate quickly and constantly deliver value to our business stakeholders. Our client, an investment management firm, is seeking an Architecture - Data Architect II - Onshore.
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Advanced degree in statistics, mathematics, engineering, computer science, data science, economics, or other quantitative field. Integra is a financial and economic consulting firm that exists to restore integrity to the financial system through forensic data analytics.
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Commercial data science platforms (e.g., Python, R, KNIME, Alteryx, etc.) Data storage, data processing, database fundamentals, data orchestration and automation, programming, CI/CD, data validation and testing, version control systems, scripting and coding, cloud migration, metadata management, infrastructure as a code (IAC), data monitoring and observability skills.
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data science jobs Title: data in Austin, MT, Canada
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