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Qualifications Bachelor’s degree in computer science, Data Science, or data engineering 3-5 years of experience as a Data Analyst with exposure to data governance practices.
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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. Strong technical proficiency to contribute to data engineering task in an AWS and Databricks ecosystem.
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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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Day to day you’ll be building ETL pipelines, modeling data to feed analytical reports and data science models, designing data access tools, or building data models in Looker.
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Candidates will be considered from any specialization within surface processes/geomorphology; those focusing on coastal processes, natural hazards, or the cryosphere, and who use tools such as numerical modeling, remote sensing, and big data science are especially encouraged to apply.
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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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Bachelor's degree (B.A.) in education, a social science discipline (e.g., psychology, sociology), public health or social work and two years of applicable experience in program evaluation or social science research and/or equivalent experience.
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Collaborate with different teams in EDM (Data Cloud, Architecture, Data Governance Tech, Data Science) and support strategic initiatives such as data governance, data-as-a-service, and self-service analytics.
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Intermediate skill with Python and the Python Data Science stack (numpy, pandas, matplotlib, etc). Proficiency in descriptive and inferential statistics including distributions, predictive modeling, data validation, statistical testing, regression.
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We are seeking dynamic and energetic individuals to lead our STEM and general science enrichment activities across a range of topics, including coding, video game design, lego robotics, engineering activities, science olympiad, math team, and elementary school science.
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The Senior Data Science Engineer, Customer Profile will be responsible for owning and developing the in-house customer profile, powering real-time messaging, personalization, and marketing efforts for ViX, the largest Spanish-language streaming platform in the world.
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New York Institute of Technology's six schools and colleges offer undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity; biology, health professions, and medicine; architecture and design; engineering; IT and digital technologies; management; and energy and sustainability.
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Masters, NP, PA) or Terminal science degree desirable (PhD, PharmD, MD)Typically requires a minimum of 5 years of experience as a MSL, or in other medical affairs roles in the pharma/biotech industry or the equivalent combination of education and experience*There are multiple field-based regions in the North West. The successful candidate must live within the identified territory near an airport and be willing to travel routinely based on business needs.
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Experience using data visualization software such as PowerBI or R Shiny. A bachelor's degree from an accredited college or university in a related field (Social Sciences, Political Science, Computer Science, Criminology, Criminal Justice etc.
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Familiarity with SQL, Python, R, and/or other coding languages for data analytics, data science and/or data engineering required. Additionally, the Senior Director will help build and lead a new team within Audubon Technology, operating in close partnership with the other Data & Technology teams (Data Analytics, Data Engineering, and Enterprise GIS), Audubon Conservation (including the Science Division), the Chief Strategy Integration office, and other business teams across Audubon.
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data science jobs Title: high school science teacher in New York
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