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Our experts in public health, performance evaluation, and health operations solve the complex problems faced by civilian and military customers alike by leveraging advanced tools - including digital transformation, artificial intelligence, data analytics, cloud enablement, modeling, and simulation, and more.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine.
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Education: Advanced degree or equivalent experience in Statistics, Econometrics, Operations Research, Actuarial Science, Applied Mathematics, or other applied quantitative science, or equivalent education and related training.
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The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science,) to provide customized automated solutions across multiple business segments.
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Perform sophisticated card fraud analyses and strategy support using advanced analytics & data science tools to provide actionable insights and real-time changes to card fraud detection tools that improve business outcomes and minimize fraud risk.
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Certified Analytics Professional (CAP), Data Science Council of America (DASCA), Principal Data Scientist (PDS), SAS Big Data Professional, Microsoft Certified Azure Data Scientist Associate, or equivalents.
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10 years of experience with delivery methods for industrialization of mentioned projects, as well as a working understanding of what data science, data engineering and data analysis methodologies are for supply chain processes.
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Bachelor's Degree or equivalent experience in Market Research or Analytics, Computer/Data Science, Statistics, CX/UX Research or Analysis or similar field. 6 years of customer data analysis experience / advanced analytics capabilities in Voice of Customer research (CX, UX, EX.
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Degree in Statistics, Mathematics, Computer Science, Business, or related quantitative field; advanced degree preferred. Typically requires 8 - 10 years of related experience in advanced analytics, big data, relational database structures, research methods, sampling techniques, and system testing.
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Degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field. Metas Solutions has an "immediate" opening for an experienced Data Scientist/Machine Learning Engineer to work Remotely.
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Required Minimum QualificationsIntern Pursuing a Bachelor’s, Master's, or Doctoral degree in Electrical Engineering and Computer Engineering, Aerospace Engineering, Software Engineering, Imaging Science, Optical Engineering, Applied Mathematics, Physics, Astronomy, Astrophysics, Computer Science or a related discipline.
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3-5 years' experience managing data analysts, business intelligence engineers, data scientists or data engineers with a proven track record of building high-performing analytics and data science teams and developing successful analysts/data scientists.
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The exposome provides a new paradigm for understanding how complex exposures drive health adverse outcomes, and candidates will have the opportunity to be at the forefront of technological and data science methods for this emerging field of research.
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data science jobs in Atlanta, OR, France
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