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Java and variety of web development and data science technologies including Angular, SQL, OpenShift, Apache Spark, and other. Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.
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The Boeing Company is currently seeking a Data Analytics Software Engineering Manager to join the Next Generation Product Support team located in preferred locations: Hazelwood, MO, Oklahoma City, OK, Plano, TX. This position will focus on supporting the Boeing Global Services (BGS) business organization.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred. Experience using statistical computer languages (Python, SQL, Scikit-Learn, and well-known machine learning frameworks and techniques) to manipulate data and draw insights from large data sets, and using web services: AWS Redshift, S3, etc.
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6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master’s, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis.
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2+ years of industry experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms. In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities - leveraging data science, machine learning and other disciplines to create new data-driven capabilities for our real-time digital marketing business.
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In Computer Science or Machine Learning related degree and about 10 years of work experience. As a Data Scientist Director in the ISDA team, you will have the opportunity to work on exciting end-to-end machine learning problems and solutions.
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Position requires a Bachelor's degree in Engineering (any), Computer Science, Statistics, or a related field, and five (5) years of experience as a Senior Data/Process Analyst, Programmer-Analyst, Software Developer, or related occupation in the technology, statistics, or data analytics field.
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Education/Experience: Bachelor s degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance or related field or equivalent experience.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Manager, Data Science - Financial Services. Master s Degree in STEM field (Science, Technology, Engineering, or Mathematics), or PhD in STEM field (Science, Technology, Engineering, or Mathematics.
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Advanced degree or equivalent experience in Statistics, Biostatistics, Econometrics, Economics, Epidemiology, Actuarial Science, or Data Science highly preferred. + Partner with other Data Science teams to support the Common Currency initiatives (Methodology, Governance, coordination of work and roadmaps across Data Science Verticals.
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Developing cloud-centric, repeatable data patterns for data management and cleansing, and partnering with data science teams to standardize unstructured data classification for data discovery and action.
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You will be part of the data science function for Marcus that caters to end to end Customer life cycle. You will be part of the data science function for Marcus cards business and the Marcus App that caters to end to end customer life cycle.
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Ensuring roadmap items such as API exposure, IoT Integration, Machine Learning, or Data Science are not hindered. Bachelor's degree in Computer Science, Information Technology, Information Systems, or related field and 5-7 years relevant experience.
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In this elevated position, you are instrumental in advancing our cutting-edge data infrastructure; optimizing data flow and storage, and spearheading data science and data engineering initiatives that drive our company's growth this year and for many years after.
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science job Title: data in Plano, TX
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