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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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Develop and execute strategies that maximize the value of data science applications (e.g. in AI/ML, Computational Chemistry, and Biology). Moreover, this embedding with DSI nurtures fertile Research and Development collaborations that leverage DSI’s excellence in quantitative pharmacology, biostatistics, and big data.
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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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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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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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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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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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Proficiency in Python for data science and image processing (e.g., TensorFlow, PyTorch, scikit-image, OpenCV, pandas). A bachelor's degree in a quantitative field (e.g., computer science, biostatistics, electrical engineering, bioengineering, computational biology, or related area) or equivalent experience.
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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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Job Schedulers – Airflow, Oozie or other ETL Scheduler Data Analytics – AWS Cloud Native Services Big data architecture – Python, Scala, Hadoop Bigdata, Hive, Pyspark etc. Experience with cloud-based data storage, analytics & data science platforms.
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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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The Bioanalytical and Biomarker Senior Scientific manager is an exciting, high impact role within the Biomarker Science and Technologies (BST) department within Preclinical and Translational Sciences (PTS) at Takeda.
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Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other groups as protected by law.
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Develop the enterprise’s capacity to develop insights with advanced analytics such as data science, natural language processing, AI/ML, network science etc. Provides university-wide leadership in data analytics Increases the value of university data assets by aligning data collected for operational purposes with data needed for strategic purposes to provide the organization with information required to achieve strategic goals.
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Alternatively, the employer will accept a Master’s degree in Finance, Computer Science, Engineering Management, or other related field plus three (3) years of experience in the job offered or three (3) years as a Senior Application Support Engineer, Data Analyst, or a related occupation.
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big data information science jobs Company: Capital One in Boston, MA
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