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Spearhead data literacy within Customer Strategy & Solutions organization; create change management plans to promote data science; build momentum for analytics being critical to the cultural DNA.
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Experience with building AWS cloud-native data science applications. Either a patent, or speaking roles at major data science conferences (Open Data Science conference, etc.
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At the Dana Farber Cancer Institute (DFCI) seeks candidates with a strong R programming background. As this is part of multiple ongoing collaborations, the nature of the work will depend on your strengths and experiences; this is an exciting opportunity to be involved in work with direct real-world impact and leverage our department's expertise to build skills in a number of areas from high-performance computing/GPU acceleration, implementation of machine learning algorithms, computational biology pipelines, matrix operations on sparse data, among others.
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Programming skills with Python, R, SQL, data visualization tools (Tableau, etc.) Keep up-to-date on latest data science and HR analytics methodologies and tools. Additionally, you will work closely with the Data Strategy and Management team in determining data requirements and integrations and will partner to stay on top of innovations in the data science field.
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Minimum RequirementsCompetencies and Knowledge:For all levelsExperience with analytical / statistical programming tools for data extraction and summarization, statistics, visualization and analysis (Alteryx, SAS, SQL, R, Tableau, etc.
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Proficiency in tools and programming languages related to data engineering (e. Experience in building data services and applications using Python, familiarity with Pandas, strong computer science fundamentals, comfortable with Git, Docker, CI/CD, SQL, automated testing, outstanding communication skills in English, positive approach to problem-solving and learning concepts in evolving environment.
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Expertise in common data science toolkits and programming languages, including R, Python (including SciPy, NumPy, and/or PySpark) and/or Scala, Java, SQL, and shell scripting. The Sr. Data Scientist - Big Data - Cyber will apply Data Science to solve enterprise Medical Device Cybersecurity, Network security, Attacks & Events.
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The Head of Data Science will lead data science efforts related to the business of the Brooklyn Nets, New York Liberty, Long Island Nets and Barclays Center. Deep hands-on experience in machine learning, relational databases, and open source programming languages (Python, R) for large scale data analysis.
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Familiarity with using Databricks or a similar platform for data engineering & data science. Bachelor's degree in a quantitative discipline (i.e. statistics, applied mathematics, computer science, data mining, machine learning, or some other empirical science) preferred.
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Bachelor's degree in computer or data science, engineering, statistics, operations research, or other quantitative areaAbility to extract actionable insights from dataExperience using SQL to extract, clean, and transform data in large, complex, nested databasesExperience using programming languages such as Python or R in a cloud platformExperience doing research, analysis, data science or solution developmentExcellent written and verbal communication skills and strong intellectual curiosity.
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Bachelor's degree in a quantitative or technical field of study (e.g. Applied Mathematics-probability and statistics, formal modeling, computational social sciences, Computer Programming-programming languages, math/statistics packages, computer science, machine learning, scientific computing, and Visualization (e.g. GIS/geospatial analysis, telemetry analysis.
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Typical Skills and Experiences: Education: Undergraduate degree in actuarial science, mathematics, statistics, data science or similar background requiring modeling, programming or quantitative analysis.
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Work effectively across health technology research, engineering and product, providing analytic expertise that spans traditional biostatistical and data science (e.g. machine learning, signal processing) methods.
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Data Science Platforms like Domino Data Lab, Apache Airflow, AWS and Google Cloud (working environment to build and deploy models) Join us to do the best work of your career and make a profound social impact Data Scientist on our Global Process Engineering and Data Science team in Round Rock, Texas.
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Using advanced neuroimaging techniques, you will lead the development and implementation of fMRI protocols, data analysis, and interpretation to provide valuable insights into the impact of mindfulness, compassion and IFS on brain function.
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