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MS, or PhD in Computer Science, Computational Mathematics, Applied Mathematics, Engineering, Data Science, Statistics or equivalent. Data warehouses and file stores such as Snowflake, RedShift, Teradata, BigQuery, Amazon S3, Amazon RDS, Azure Synapse, Databricks Lakehouse, etc.
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Your Skills & Abilities (Required Qualifications):Master's Degree or Ph. D. in Data Science, Operations Research, Psychometrics, Marketing Science, Finance, (Bio)Statistics, Econometrics, Computer Science, Applied Mathematics, or another quantitative fieldProficient writing Python/R (modeling) and SQL/Spark (data), working with Pandas, StatsModels, PYMC, TensorFlow, Pytorch, Spark/ML, sklearn, numpy and related packages.
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Utilization of embedding models and Vector DBs to transform and store natural language data. CGI is seeking a Sr. Data Scientist to join our Emerging Technology Practice. Data Narration and storytelling with demonstrated ability to present to executive audience.
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Master's degree in a relevant field, such as Linguistics, Communications, a foreign language,- computational linguistics or other language or data-related disciplines is a plus. Bachelor's degree in Linguistics, Philosophy, Cognitive Science, a foreign language, or Literature.
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Reporting to our VP, Data Science and Analytics and partnering closely with our marketing, product, and business leaders, you will run analyses, build attribution models, and design and run experiments to identify efficient acquisition channels and translate insights and learnings to inform our growth marketing investment decisions.
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Bachelor's degree in a relevant field that focuses on Management Information Systems, Data Science, Computer Science, Information Technology, Information Systems, or related field.
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Bachelor's Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline. Master's Degree Master' s Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline.
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The Conservation Data Scientist will work with the University of Texas Insect Collection Curator and the Texas Department of Parks and Wildlife to aggregate, filter, and analyze publicly available biodiversity data on Texas invertebrate species, with the goal of presenting a set of estimated conservation status metrics and related tools on a public website.
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The Data Analyst V position plays a pivotal role by contributing and applying relevant knowledge and analytical skills to support HHSC in its mission to provide essential health and human services to eligible vulnerable Texans in the most effective manner.
$8,173 a monthFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Advanced degree (PhD required) in a behavioral science or social discipline (e.g., industrial/organizational, experimental, clinical, or educational psychology; public health, cognitive neuroscience, behavioral economics, computational social science), with a heavy quantitative focus for this training.
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Dive deep into the data to perform qualitative error trend analysis, and devise action plan to improve data quality. The Bedrock team is a team of data linguists who primarily support the training of different models in the AWS generative AI platform.
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Provides complete and consistent documentation of data warehouse content in the Caboodle Console to ensure that users can determine what data is available in the warehouse, how this data is defined, and lineage to Epic Clarity.
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Delta, founded in 1971, is a global leader in switching power supplies and thermal management products with a thriving portfolio of smart energy-saving systems and solutions in the fields of industrial automation, building automation, telecom power, data center infrastructure, EV charging, renewable energy, energy storage and display, to nurture the development of smart manufacturing and sustainable cities.
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Familiarity with using cloud services (AWS, Google, Azure) or Big Data tools (Hadoop, Hive, Spark) in data science solutions. Demonstrable knowledge in artificial intelligence, machine learning, data science, and other relevant technical domains; and possess a blend of advanced analytical capabilities and consulting expertise that will create value and insights for our clients.
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Oversees data documentations, protocols, analytic plans, reports, manuscripts and presentation of study findings applying epidemiologic methods and best practices in public health science.
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data science jobs Title: data analyst Company: Apple in Austin, TX
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