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Experience with/in any of the following is preferred: Applied ML or other data science projects (e.g., Feature Engineering, Predictive Analytics, ML Pipelines); Business Intelligence (BI Tools) including Tableau, Spotfire, Qlikview, and/or Power BI; Cloud based systems on Azure or AWS.
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5+ years experience in AMAMR-related areas of machine computational/environmental perception including expertise with one or more SLAM algorithms, collision detection, computer vision, machine learning, and ground robotic software (ROS.
$225,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Demonstrating knowledge of descriptive analytics, predictive analytics, machine learning principles, AI, robotic process automation (RPA), project management, software and solution implementation methodologies.
$48 an hourFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Knowledge of predictive modeling, statistical sampling, optimization, machine learning and artificial intelligence. Sr Quantitative Finance Analyst - Global Financial Crimes Modeling and Analytics (GFCMA) Team.
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Knowledgeable in Prescriptive Modeling like Machine Learning, Deep Learning, Recommendation, Search, or NLP. This team supports the analytics and reporting needs across various commercial excellence functions including Marketing, Digital Commerce, Sales, Customer Experience (CX), Product Management, Corporate Strategy, Finance, and Pricing.
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This role requires a deep understanding of machine learning and predictive analytics, with a minimum of 8+ years of relevant experience. Extensive knowledge of credit models, pricing models, and predictive analytics.
$205,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The ideal candidate has direct, hands-on experience in predictive modeling using machine learning techniques and has experience leading a team of data scientists in data wrangling, data visualization, statistical analysis and building predictive, machine learning models using supervised, unsupervised and semi-supervised techniques.
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Advanced Analytics: Leading efforts in advanced analytics, including predictive modeling, machine learning, and statistical analysis to derive actionable insights. Knowledge of advanced analytics techniques (e.g., machine learning, predictive modeling, etc.
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Advanced knowledge of business ecosystems, SaaS, infrastructure as a service (IaaS), platform as a service (PaaS), APIs, Open data, Microservices, DevSecOps, Event-driven IT. Predictive analytics and AI/ML and Generative AI.
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Proficiency in data analytics and machine learning techniques, with hands-on experience in developing and implementing predictive maintenance and optimization solutions including relevant certifications in AI or related fields (e.g., AWS Certified Machine Learning Specialty, Google Cloud AI/ML certifications) are desirable.
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RWE Analytics: Foster new methodology and provide innovative analytics technique method (e.g. External Control Arm, machine learning, predictive model). This position works under some supervision to solve study/analytics problems.
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Education Bachelor’s degree in Information Systems, Data Science, Machine Learning, Computer Science, Industrial Engineering, or Analytics. Master’s degree in Information Systems, Data Science, Machine Learning, Computer Science, Industrial Engineering, or Analytics or four years of industry experience in lieu of Master’s degree.
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Utilize statistical analysis, predictive modeling, and machine learning techniques to uncover insights that inform marketing strategies and business decisions. Strong knowledge of statistical analysis, predictive modeling, and machine learning algorithms.
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Experience in OpenAI, Python, PyTorch, TensorFlow, langchain, or other machine learning frameworks. In the new era of AI, this role within Azure CXP Data & Applied Sciences team will provide you the opportunity to work on cutting-edge GenAI and ML (Machine Learning) solutions that drive specific, measurable, and impactful improvements to key areas of Azure customer experience.
$294,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Building predictive and descriptive statistical models using machine learning tool kit, Jupyter notebooks, Python, and/or SAS. Employer will accept a Bachelor's degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, Engineering, or a related technical field and four years of experience in job offered or in a Senior Data Scientist related occupation.
$196,700 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago
machine learning predictive analytics jobs in Atlanta, GA
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