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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Plano 7 (31067), United States of America, Plano, TexasSenior Associate Data Scientist - Statistical Analysis, Financial ServicesAt Capital One, we think big and do big things.
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Master's degree in an Environmental Science or other Natural Science; or Statistics, Computer Science, or other related degree with a broad knowledge of environmental sciences, natural sciences or Geographical Information System (GIS) AND one (1) year of demonstrated experience managing data; querying databases; performing quantitative analysis, spatial analysis; creating visualizations, and/or analyzing and reporting on data.
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2+ years experience in an analytical role – data science, BI, economic consulting or statistical. Knowledge of modern data science tools: Python, R, etc. Supporting data extraction and analysis for clients.
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Lyft’s Data Science Team builds mathematical models underpinning the platform’s core services. As a Data Scientist on the Growth team, you will be working to grow Lyft's user base (drivers and riders) in dynamic marketplace conditions through experimentation, modeling, causal inference, and optimization.
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Collaborating closely with various subject matter experts across various fields, our team leverages advanced statistical analysis, machine learning techniques, and data visualization tools to uncover patterns, trends, and correlations within the data.
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Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field. Proficiency in statistical analysis and the use of various data analysis tools and software.
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Experience with analytics and statistical software such as SQL, R, Python, Excel, Hadoop, SAS, SPSS and/or others to perform analysis and interpret data. Deep knowledge of open source data science and statistics packages such as Python, R, Spark, etc.
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Experience with sampling techniques and statistical data analysis for FTIR, DSC, TGA, DMA, Fractography, Chromatography and Microscopy (optical and electron based techniques) Ph. D. in Materials Science, Mechanical Engineering, Chemical Engineering, or a related field.
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Utilize statistical techniques and data visualization tools to analyze and interpret large datasets, uncovering trends, patterns, and correlations. Working understanding of data visualization tools such as Tableau, Power BI, or similar platforms.
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BA/BS degree in actuarial science, mathematics, statistics, computer science, data analytics, economics, finance, business or related field. Apply complex actuarial theories and principles to create statistical models.
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Designs, develops, and implements methods, processes and systems to consolidate and analyze diverse data sets including structured and unstructured. Operating nearly 9,000 retail locations across America, Puerto Rico and the U.S. Virgin Islands, Walgreens is proud to be a neighborhood health destination serving nearly 10 million customers each day.
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A master's or doctorate degree in public health, epidemiology, pharmacoepidemiology, biostatistics, applied mathematics, data science, or a closely-related field may substitute for the required experience on a year-for-year basis.
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BS in engineering, Materials Science, Mechanical, Chemistry or related field : expertise in metallurgy or materials preferred 10 plus years minimum in an engineering role: Design or testing of electrical connectors, contacts, relays, fiber optics, and/or application tooling preferred Product testing Advanced statistical analysis Failure analysis methods and analysis tools Skills: Ability to self-prioritize and manage multiple projects simultaneously, adapting to regular changes in priority.
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ASQ-CQE and/or 6 sigma GB or equivalent data driven statistical experience a plus. ASML US brings together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy-efficient microchips.
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Experience with statistical software (R/Stat/SAS/Matlab) Degree in progress for Applied Math, Economics, Statistics, Engineering, Computer Science or other quantitative field. Experience with data analysis and data modeling; data warehouse experience a plus.
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