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Perform exploratory data analysis and data science, generate and discover actionable insights from Plato’s unique spatio-temporal data, conduct hypothesis testing, and utilize statistical methods to assess their validity.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Proficiency with data platform architecture, design, data dictionaries, multi-dimensional models, objects, star and snowflake schemas as well as structures for data lakes, data science, and data warehousesExtensive experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP.
$181,000 - $241,000Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Mapping natural resources, data entry and management, data analysis, and reporting. Use statistical methods and procedures to perform testing of field data collected. EDUCATION: have One full year of graduate education that is directly related to the work of the position (such as horticulture, arboriculture, biology, chemistry, statistics, entomology, animal husbandry, botany, physics, agriculture.
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Application of Data Science in Marketing: Apply data science techniques to complex marketing problems including customer segmentation, predictive modeling, pricing strategy, customer experience enhancement, and more.
$137,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Responsibilities: The postdoctoral scholar will be expected to work as part of a team to support diverse participatory science projects as they onboard and use the FieldScope data collection and analysis platform, recruit new projects to the platform, lead the testing of the platform as it is updated and refined, and co-develop data literacy teaching and learning materials with the FieldScope team and collaborators.
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Passion for big data, analytics (MMM, MTA, Experimentation), data science, and machine learning: comprehension of marketing analytics, specifically Marketing Mix Modeling, Multi-Touch Attribution (MTA), media strategy, media planning, identity resolution, data management, onboarding, remarketing, and data science is an advantage.
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Demonstrated experience related to AML, Know-Your-Customer (KYC), Transaction Monitoring, and Sanctions data, technology, and deep analytics experience. Data analytics project experience related to one or more of the following: transaction monitoring data analysis and system implementation, development of customer risk rating models, customer segmentation, threshold tuning, customer/account/transaction data modelling, management and quality assessment, model validation, and/or Know-Your-Customer data remediation.
$107,659 - $207,763 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Our customers are the most sophisticated analytical organizations in the world, including companies like Bristol Myers Squibb, Allstate, Bayer, and Red Hat. Backed by Sequoia Capital, Coatue Management, Bloomberg Beta, and Zetta Venture Partners, we are at the epicenter of the data science revolution, helping companies develop the next breakthrough in medicine, build better cars, or recommend the best song play next.
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12+ years of experience in data science, machine learning, and statistical modeling, preferably in a marketing or advertising context. Experience with big data technologies and platforms such as Hadoop, Spark, AWS, CGP, or Snowflake.
$203,200 - $215,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of data science, machine learning, and artificial intelligence is required. Knowledge of data science, artificial intelligence, and/or machine learning is required.
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Understanding of database technology and experience with a cloud SQL data warehouse (e.g. BigQuery, Postgres, Snowflake). Experience with a data visualization tool (e.g. Tableau, Looker, Sigma.
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An undergraduate degree in computer science, engineering, data science, finance, economics or related disciplines is a plus, MBA preferred. ● Implement and maintain the roadmap by working cross-functionally with members of the product team, engineering team, data science & analytics team, business team, finance team, legal team, operations team, marketing team, and more.
$180,700 - $253,800 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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The Medical Science Liaison (MSL) is responsible for identifying disease and product related medical needs in a defined geography. The MSL role embodies our medical mission to be recognized as the trusted partner for internal stakeholders and the"healthcare community, driving scientific exchange to enhance medical education, data generation, insight generation and patients' access to medicine.
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Expertise in data modeling for data science, reporting, and analytics, including dimensional and transactional models. As part of our Engineering team, you’ll work closely with various business functions to understand Figure Markets’ analytic, data science, and reporting needs and to develop data products that address those needs.
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data science jobs Company: Adobe in San Francisco, WY, France
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