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Bridge business and technical teams by being fluent in the language of consulting (business drivers, process), design (user-centric experience design), and technology (Big data, cloud strategy, Advanced data science, AI, ML.
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You will complete your role largely independently within defined policies and procedures as part of a team of statistician and data science peers. The Oracle Life Sciences GIU is seeking a highly motivated professional to join the Life Sciences Research Services team as a Senior Statistician within the Real-World Evidence Data and Analytics team.
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Lead the ideation and execution of product changes that drive growth based on user behavior, partnering with Product Management, Engineering, Design, Content Strategy and Data Science. Requires a Master’s degree in Computer Science, Engineering, Mathematics, Physics, Economics, Statistics, Survey Research, or a related field and two years of work experience in the job offered or in a quantitative, technical, or computer-related occupation.
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Hand-on experience with mix of OBIEE/Oracle Analytics Cloud/Oracle Analytics Server, Data Warehouse, SQL, Oracle AI/ML, Oracle Data Science and Oracle Data Integrator including design, implementation and migrations (ideally with Oracle ADW.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Life science or biomedical background and experience in data analytics and commercial operations. You will be an integral member of our life sciences consulting team, and spend most of your time focused on providing client services in the following areas: business transformation, commercial operations, commercial data and analytics, commercial strategy, market access, growth strategy, operating model optimization, technology implementation and enterprise transformation.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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In this role, you will be responsible for providing leadership and planning for software certification tasks carried out by Aviation SQA/Support team including document creation, software process auditing and potentially data approval, in support of TSO authorization of product.
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We offer programs in tech and tech adjacent fields, such as AI, cybersecurity, web development, data science, data analytics, UX design, and project management, as well as durable skills and leadership disciplines like communication, sales and frontline management.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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The Mission of Sanofi’s MSL Team and the Medical Science Liaison is to be the trusted scientific partners in the field for external experts and decision-makers engaging in mutual scientific exchanges to accelerate data dissemination.
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Employee will be collecting vegetation and soil data in various states (Nevada, Utah, Wyoming, Arizona) as part of rangeland health monitoring and plant community composition measurements. Candidates should be working toward a degree in botany, range science, soil science, biology, or a related field.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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Thanasis Noulas (Data Science and Engineering Director): Ha trabajado en numerosas startups y empresas de producto como Booking, Airbnb, Uber y Netflix. Thanasis Noulas (Data Science and Engineering Director): Ha trabajado en numerosas startups y empresas de producto como Booking, Airbnb, Uber y Netflix.
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To be considered for this position at a minimum you need a Clinical/Science degree (MD, PharmD, PhD, DVM with 5 + years related work experience (clinical, managed care, or industry experience) in Ophthalmology is preferred.
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Bachelor’s degree in related discipline such as Computer Science, Information Technology, Mathematics, Statistics, Business, Data Science or Engineering preferred. Individual annual salaries/hourly rates will be set within the job’s compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Knowledge of a variety of advanced computer science and mathematical concepts, practices, and procedures associated with the analysis of large datasets, from indexing schemes to statistical tests-knowledge of Cloud computing, Hadoop, or MapReduce, Netezza, Vertica, BigTable, Pig, Teradata, or Amazon Web Services-Ability to obtain a security clearance.
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Join us and you will have the chance to work on projects including mission critical, data center facilities, and other state of the art manufacturing facilities. Bachelor of Science Degree in Electrical Engineering or Renewable Energy Engineering.
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data science jobs in Topeka, KS
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