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With a bridging seat on the leadership team of DSI, the Head of Computational Science & Data Strategy, Research, ensures a seamless connection with the data infrastructure and governance responsibilities of DSI and its responsibility for enterprise data solutions in partnership with Takeda’s corporate Data & Technology function.
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Expert knowledge of financial data platforms such as Bloomberg, Capital IQ, Refinitiv, WRDS, FactSet, and/or other business information platforms. 5+ years of experience providing research and/or data support in business, finance, economics, and/or other social science research environments required.
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Bachelor's or Master's STEM degree - computer science, data science, economics, mathematics, actuarial sciences, engineering, or physics preferred. Use client data and industry losses to perform model validation processes that enhance KCC's latest catastrophe models.
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Stationed in our global offices, AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in a variety of fields including tech, data science, marketing analytics and academia.
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At least 2 years of experience in information technology (operations, software delivery, access management, microservices), information security (application security, network security, cyber security, data protection), information systems risk management, information systems auditing, or a combination.
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Qualifications: Bachelor’s or master's degree in computer science, Information Technology, Life Sciences or related field. Job Schedulers – Airflow, Oozie or other ETL Scheduler Data Analytics – AWS Cloud Native Services Big data architecture – Python, Scala, Hadoop Bigdata, Hive, Pyspark etc.
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PhD in network science, physics, big data, behavior modeling, urban science, complex systems, machine learning, visualization, geospatial analysis or related field. Programming (Python, R), statistics, and data science skills are essential.
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Engage with other Global DD&T (GDD&T) platform leads to ensure infrastructure is built to support all internal & external digital experiences; collaborate with Chief Data Officer (CDO), Chief Technology Officer (CTO), and Chief Information Security Officer (CISO) to ensure strict compliance with data, technology, and information security standards.
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By your actions, improve data quality and outcome for the data engineering, analytics and data science users and producers of data. Bachelor's degree in Computer Science with focus on data engineering preferable.
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Bachelor's degree (or equivalent degree) in Computer Science, Information Technology, or related technical field. In this highly visible position, the Director works in partnership with all aspects of Voyager's business, as a leader in Information Technology (IT) and continues the development & support of Voyager’s IT Infrastructure function.
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PhD in Bioinformatics, Computational Biology, Data Science or a related field. · Interface with laboratory information management systems (LIMS), specifically Benchling, and cloud computing platforms, such as AWS, to ensure seamless data integration and management.
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Proficiency in Python for data science and image processing (e.g., TensorFlow, PyTorch, scikit-image, OpenCV, pandas). Come join a team that is pushing the boundaries of science and technology to illuminate life in 3D like never before.
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Focus on software development life cycle, you will collaborate with our Head of Technology Strategy, Head of Data, Solution Architects, Data Analysts, Data Team, and Portfolio Delivery function Leads to understand customer and technical needs to design and implement the Global Investment data platform, including Persistence, Integration and Services layers of the business solutions in compliance with architecture principles and standards followed by MMC technology.
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TheDirector, Information Technology (IT) Systems will collaborate with the VP, IT to provide the strategic framework for validation, management, and support of GxP-regulated systems and implement against the strategy in collaboration with stakeholders.
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Alternatively, the employer will accept a master’s degree, or its foreign equivalent, in Computer Information Systems, Information Systems, Computer Applications, Computer Science, IT, Analytics, Computer Engineering, or a related engineering/computer/analytical field plus 5 years of professional experience as a Systems Engineer/Developer, Business Intelligence Analyst/Developer, in the job offered, or in other positions involving business intelligence.
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big data information technology science jobs Company: Capital One in Cambridge, MA
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