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Advise on programmatic trading concepts, use of predictive models, and coordinate with Data Science on client inquiries related to modeling. Internally, this position will collaborate with various stakeholder groups (Client Services, Product, Data Science, Partnerships, & Sales) to evolve internal processes designed to maximize client satisfaction and scale a rapidly growing line of business.
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Strong data analysis and modeling skills using Python, SQL, VBA or R; a programming background preferred. Masters is preferred in a highly analytical or technical field: Computer Science, Engineering, Math, Statistics, Physics, etc.
ExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Solid understanding of statistical analysis, data mining, and predictive modeling techniques. Stay abreast of the latest advancements in data science and machine learning, leveraging emerging technologies to drive continuous improvement.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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With intriguing projects like integrating data science and AI for finance management, this role provides an opportunity to contribute to impactful work with broad business implications, adding valuable experience to your CV.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Broad technical skills including data modeling, SQL, databases, ETL/ELT, scripting, and commercial cloud service offerings (e.g. Azure, AWS, Databricks, Snowflake) The relevant infrastructure will include elements such as an enterprise data catalog, data governance (including conventions and standards), data quality, master data management, application integration, data exchange, ETL/ELT, data modeling, and related components.
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Business Intelligence: Over 10 years of experience, emphasizing Business Intelligence, Data Modeling, ETL, and Analytics, working with BI systems like Looker. The ideal candidate will have a strong background in analytics, data engineering, AI/ ML, and data science, as well as experience in managing and leading business or technology teams.
ExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Solid understanding of statistical modeling and analysis techniques, and experience with data visualization tools. Conduct research in machine learning, deep learning, and statistical modeling to design and implement new algorithms and techniques for multi-modal, generative AI, and LLM applications.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvote
Part-Time Bilingual Chinese / English Academic Specialist TON: High Level Mathematics And Statistics
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AP and lower college level, for our high school and college tutoring programs: AP Statistics, Statistical Concepts, Statistics, Probability and Mathematical Modeling, Statistics and Data Analysis, Data Science, Business Statistics.
Part-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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MSc in Data Science. At least 1 - 2 years' of experience in quantitative analytics or data modeling. Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Work experience in designing and managing data pipelines with knowledge about data modeling, ETL processes, and big data technologies (e.g., Spark) to support AI & ML on a public cloud platform, preferably MS Azure.
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Strong technical proficiency in data modeling, SQL, ETL tools, data visualization tools, and advanced analytics techniques (e.g., machine learning, predictive modeling). Drive the development and implementation of advanced analytics initiatives to extract insights from data, identify trends, and support predictive modeling and forecasting.
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Our experts in public health, performance evaluation, and health operations solve the complex problems faced by civilian and military customers alike by leveraging advanced tools – including digital transformation, artificial intelligence, data analytics, cloud enablement, modeling, and simulation, and more.
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Proven understanding of statistics, structured and unstructured data analysis, predictive modeling techniques and data visualization as well as a good command of emerging methodologies like Artificial Intelligence.
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Position Summary: The CX Data Science Intern plays a pivotal role in leveraging Statistical programming language (SAS preferred) to analyze and derive actionable insights from data.
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Use data science and machine learning to develop effective predictive models. Use data analysis and visualizations (examples include Looker, Jupyter Notebooks, Python, Pandas, and R) to inform the business strategy.
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modeling data science jobs
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