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Our customers include hotels, attractions and tourism boards, and they use the power of machine learning, data science and real-time traveler data in Sojern’s products to build direct relationships with travelers across social, mobile and the web.
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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.
$200ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ability to work with a wide breadth of stakeholders/partners through product management, data science, design, security, etc. Collaborate with other engineering teams and leaders in product management, data science, and design to execute effectively on business goals.
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Collaborate closely with ML Engineering and Data Science to amplify our data pipelines tailored for machine learning, analytics, and data annotation. Devise, construct, and take charge of the core data models and infrastructure to govern data throughout analytics stack, spanning AWS, Kafka, Glue, S3, Snowflake, Cassandra, Cockroach DB, Tableau, and Datadog.
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As a Data Science Intern, you will be responsible for solving our clients real-world problems by delivering data products for both internal and external use. We are looking for an intern to build data science and machine learning solutions for our clients complex and real-world problems.
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You'll partner closely with a product, engineering, and marketing pillar at every step of the development process, driving forward data science and analytics work in that area. As an early member of the product data science team, you'll be instrumental in setting the roadmap for how product, engineering, and data science work together, and then doing the hands on work to execute against it.
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An undergraduate degree in economics, statistics, public policy, finance, or a similar field, preferably with a focus in data science or analytics; master’s degree in public policy, economics, business, operations science/management, or a related field a plus.
$78,200 - $124,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Data Science group is made up of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, psychology, geology, physics, statistics, and operations research.
$151,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Bachelor's Degree in Computer Science Engineering with 12 years of IT experience in SAP Data Migration, Data Analysis, Data Audits, Process Management, Business Analysis, ECM, Business Process Re-engineering, RFPs, Quality Assurance, Data Analysis, Modeling and Testing of enterprise-wide client/server and Web-based applications and all aspects of Software Engineering and Systems Development Life Cycle (SDLC.
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Position SummaryUnder the general direction of the Principal Investigator, this Research Technician will be responsible for but not limited to collecting, analyzing and synthesizing oceanographic data for research contracts and grants.
$3,987 a monthFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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A Master’s degree or equivalent experience in data science, statistics, applied mathematics, analytics or a related field. You are proficient in SQL and have experience with data visualization tools like Tableau, Looker, or similar.
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Epic Bio is seeking a highly motivated Head of Biological Data Science responsible for leading a team of computational biologists, bioinformaticians, and data engineers. Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies.
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In this role, you will sit at the intersection of Data science, Engineering, and Product Management, & work collaboratively with different teams to transform data generated by our fleet of edge devices & other digital data into data products that provide actionable insights to our end customers.
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Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Data Processing/Analytics/Science, Computer and Information Science, Statistics.
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Strong understanding and skills in advanced analytics and data science models and methodology, such as statistical analysis, algorithm development, artificial intelligence, machine learning, text mining, natural language processing, and optimization.
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data science jobs in San Francisco, Grove-city, Ohio
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