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Keywords: product management, product manager, analytics, AI, machine learning, data science, visualization, computer vision. Bachelors or Master’s in Mathematics, Statistics, Biostatistics, Computer Science or similar degree in a quantitative field.
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Preferred fields of study: Business Analytics, Data Analytics/Science, Finance, Economics, Accounting, Computer and Information Science, Business Administration/Management, Engineering, Management Information Systems, Mathematics, Statistics.
$84,000 - $138,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Currently pursuing or recently graduated with a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering (Electrical, Mechanical, Renewable Energy focus), or a related field.
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Bachelor-level degree in engineering, IT, data communications, Information Systems, computer science, or equivalent educational or professional experience and/or qualificationsExperience with Public Cloud (AWS, Azure, GCP) and On-Premises EnvironmentsExperience with Modern Data PlatformsHands-on experience in Automation, Orchestration and CI/CD pipelines (SCM, Build, Deployment, Code Quality, APM, Monitoring and Reporting tools.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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BA/BS degree in data science, computer science, information science, database management, statistics, economics, public policy, mathematics, or the social sciences required; Master's degree welcome.
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Accounting, Finance, Management Information Systems, Management Information Systems & Accounting, Computer and Information Science, Computer and Information Science & Accounting, Mathematical Statistics, Statistics, Mathematics, Economics, Economics and Finance, Economics and Finance & Technology, Business Administration/Management, Engineering.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Bachelor’s degree in Drafting, or related physical or geospatial science such as Civil Engineering Technology, Construction Technology, Cartography, Information Technology, Computer Science, Urban Studies/ Planning, Architecture, Engineering, Interior Design, Geography, or Construction related field.
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VP, Data Science RWE | Top 5 Pharma. PhD in a relevant field (e.g., biology, math, pharmacology, biomedical engineering, chemical engineering, computation biology, computer science, etc.
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Current PhD Student in Quantitative Discipline related to Data Science, including but not limited to Statistics, Mathematics, Economics, Computer Science, etc. We are looking for enthusiastic quantitative PhD students to join our internship program at Rokt. As a Data Science (PhD) Intern at Rokt, you will have the opportunity to shape the future of our business organizations (Analytics, Product, Engineering, Sales), products (Post-Order Marketing, Payments Marketplace, and Upsells), and customers (Publishers, Advertisers, and End Users.
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The employer will alternatively accept a Doctorate (Ph. D.) degree in Computer Science, Data Science, or related quantitative field of study plus 1 year of experience in the job offered or as Applied Artificial Intelligence Machine Learning Associate, Data Scientist, Software Engineer, or related occupation.
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QUALIFICATIONS: Minimum education and experience required: Master's degree in Computer Science, Data Science, or related quantitative field of study plus 3 years of experience in the job offered or as Applied Artificial Intelligence Machine Learning Associate, Data Scientist, Software Engineer, or related occupation.
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Integrating Databricks with other AWS products such as SNS, SQS, and MSK.What we are looking for: Bachelor's or master's degree in computer science, Information Technology, or a related field.
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Requirements: Master's degree (or foreign equivalent) in Computer Science and Engineering, Data Science, Statistics, Mathematics, Analytics, or a related field, and two (2) years of experience in the job offered or relatedoccupation.
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MD, PharmD and/or PhD with 8-12+ years experience or MS with 12-15 years experience in the pharmaceutical industry or healthcare sector, with joint experience / degree in Computer Science, Medical Informatics or Bioinformatics.
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