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To be successful as a Data Scientist on the Field Analytics Data Science team you should have a demonstrated background blending large datasets, statistics, creativity, and consulting into actionable outcomes.
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We are seeking for a Data Scientist/ML Engineer with experience in NLP, statistics, and Conversational AI. The ideal candidate is adept at using Statistical Modelling, Machine learning algorithms and Conversational AI. Strong experience using variety of data mining/ Machine Learning methods, using/coding algorithms and running simulations.
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Utilize: Python, PySpark, Statistical Analysis System (SAS), Machine Learning (scikitlearn, SHAP, MLlib), Deep Learning (TensorFlow), MapReduce, Hadoop, Hive, GitHub, Jira. Required: Master’s degree or equivalent in Computer Science, Engineering, Information Technology, Mathematics, Statistics or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master’s degree) and one (1) year of experience as a Data Scientist or related.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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8 years of directly relevant, tech industry work experience such as a statistician, or data scientist, with deep expertise in statistical data analysis, such as linear models, multivariate analysis, stochastic models, and sampling methods.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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If you're lured by the endless possibilities presented by AI, Machine Learning, IoT, and Data Science, this job opportunity can be the right career path for you. Bachelor's degree or Master's degree in Computer Engineering, Computer Science, Mathematics, Electrical Engineering, Information Systems, or IT.
$75,000 - $130,000 a yearExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Position Title:Lead Marketing Data Scientist. Lead Marketing Data Scientist. Minimum Requirements:Requires MS, MA, or PhD with concentration in a quantitative discipline such as Mathematics, Statistics, Economics, Epidemiology, Engineering, Computer Science, Public Health or Operations Research and a minimum of 5 years of experience in related health care analytics; or any combination of education and experience which would provide an equivalent background.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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What You’ll Do: As a Data Scientist, you will be responsible for driving, identify, evaluate, design and implement statistical analyses of gathered open source, proprietary, and customer data to create analytic metrics and tools to support TRSS analysts, customers and existing product offerings.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$132,000 - $264,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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The Data Scientist will be responsible for leveraging data, advanced quantitative modeling, financial analysis and cloud-based machine learning technology to enable data-driven strategic decision making.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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We’re looking for a Sr. Data Scientist to join Snap Inc. What you’ll do:Build state-of-the-art statistical models to solve various problems at the intersection ads ranking and ads marketplace optimization.
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At minimum, a bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field - At minimum, two (2) years of relevant experience – such as theoretical or applied computer science, simulation or model development, mathematical model development, algorithm analysis, design, or development, reverse engineering, or hardware/software engineering.
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AIML - Sr Data Scientist, AIML Data. Advanced degree in a quantitative field such as Statistics, Operational Research, Bioinformatics, Economics, Psychology, Computer Science, Sociology, Mathematics, Physics, or similar quantitative field.
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A master’s degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 – 7 years’ experience in data science or a similar role. Relevant certifications such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning are advantageous.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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The Human Resources Research Organization (HumRRO), a non-profit national leader in workforce assessment, human capital consulting, and educational research, is seeking a full-time Data Scientist to join our growing organization.
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