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Must have one or more of the following certifications: Cloud+, Security+, Network+, or CCNA Best Qualification: Master’s Degree in Computer Science or Engineering field or technical training Desired Experience: Advanced experience with AWS, Azure, and leading cloud service providers.
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Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent field.
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BS degree in Data Science, Computer Science, Information Sciences, Mathematics, Engineering or related fields and minimum 4 years related business experience in analytics, data science, predictive modeling, machine learning, statistical modeling and/or user experience role OR advanced degree and 2 years directly related experience.
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Master's degree in a quant-based field e.g., Analytics, Mathematics, Economics, Computer Science or similar technical disciplines or equivalent practical experience. Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
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Bachelors degree in Data Science, Computer Science, Information Sciences, Mathematics, Engineering or related field and minimum 8 years of related experience, of which at least 4 years of directly related data analytics, data science, predictive modeling, machine learning, statistical modeling experience OR advanced in the required fields and 4 years directly related data science, analytics experience.
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Electrical Engineering, Computer Engineering or Computer Science also acceptable. Create test scripts in python where appropriate for bench level software testing. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market.
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Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, and computer programming to large data sets. Python, R, SQL, Java, SAS, and MATLAB.
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Working across technical and functional teams, you will utilize the latest data science, data engineering, data visualization and business intelligence strategies, methods, and standards to bring forth market leading insights.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Master’s degree in data science, statistics, computer science, computer engineering, or information systems. Master’s degree in data science, statistics, computer science, computer engineering, or information systems and 5 years of relevant experience, or.
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Required Education: Master’s degree in Data Science, Biostatistics, Epidemiology, Mathematics, Health Economics, Computer Science, Business Analytics, Informatics, or related field OR Doctorate (Ph. D.) in Data Science, Biostatistics, Epidemiology, Mathematics, Health Economics, Computer Science, Business Analytics, Informatics, or related field.
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A minimum of a bachelor's degree in Computer Science, Engineering, or a related field; a masters degree or PhD is preferred. c#, matlab, php, python, software development engineer, software engineer, software programmer, sw.
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Masters in Computer Science, Artificial Intelligence, Machine Learning, or a related field in last 5 years or pursuing currently. Solid programming skills in Python and familiarity with AI/ML frameworks like TensorFlow or PyTorch.
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Bachelor’s in Computer Science, Computer Engineering, Electrical Engineering, or a related field. Eight (8) or more years of experience in the following: Java, JavaScript/Typescript, Python, Angular, ELK stack, Redis, Web Services (REST), Machine Learning, Data Analytics, Android development, NoSQL and SQL databases, Xmidas, Digital Signal Processing.
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Required/Desired Skills Skill Required/Desired Amount of Experience Bachelor's degree in computer science, management information systems, or related field combined with experience Required 0 Experience in AWS Required 4 Years Experience as a System Administrator Required 4 Years Experience in public cloud environments, including AWS and/or Azure Required 4 Years Experience with automation using an established framework (SaltStack, Puppet, Chef, Ansible, etc.
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