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Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau.
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Data science, machine learning, optimization models, Master's degree 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.
$136,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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2+ years of hands-on experience with data science and analytics, modeling platforms, data engineering software and visualization tools (e.g. Advanced SQL, PL/SQL, R, Python, SAP HANA, Spotfire, Tableau, Hadoop, Redshift.
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Science or engineering background in a relevant field, i.e. BS, MS in materials science or engineering, mechanical engineering, powder metallurgy, nanotechnology, applied physics, chemical engineering, or related field.
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Use programming languages including but not limited to Python, R, SQL, Java or Scala, SQL. Programming Languages: Python, R, SQL, Java or Scala, SQL. Bachelor of Computer Science or Engineering or experience in related fields.
$163,300 - $244,900 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Education Doctorate or Masters’ degree in econometrics, statistics, data analytics, computer science or other STEM fields (, physics, math, engineering, etc.) Expert knowledge and skills in statistical programming (SAS, SQL, Python, R.
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Use analytic methods and advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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Master's Degree or Ph. D. in Data Science, Operations Research, Psychometrics, Marketing Science, Finance, (Bio)Statistics, Econometrics, Computer Science, Applied Mathematics, or another quantitative field.
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Proficient writing Python/R (modeling) and SQL/Spark (data), working with Pandas, StatsModels, PYMC, TensorFlow, Pytorch, Spark/ML, sklearn, numpy and related packages. The Data Scientist for the Marketing Applied Science Team is an internal expert on methodology and practice of marketing analytics.
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Desired expertise in marketing analytics and advanced methods such as: customer lifetime value, media mix modeling (MMM), multi-touch attribution (MTA), consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, hazard /survival models, structural equation modeling, item response theory, latent class regression.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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The successful candidate must demonstrate strong background in technology, data analytics, software development, and programming languages such as R, Python and SQL, with expertise in Business Intelligence tools (Shiny, Tableau, PowerBi.
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Collaborate with local business users to understand business processes, gather technical requirements, evaluate proof of concepts, design, develop and support analytical solutions using TIBCO Spotfire, Power BI, SQL, Python, R, JS,HTML etc.
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In order to construct a robust, accurate, 360-view data environment that is unique to each client•Demonstrated performance excellence in one or more of the following computer languages: SQL, SAS, R, Python•Employing techniques such as a case-control study, regression analyses, principal component analyses, clustering exercises, propensity scoring, classification, ROI calculation, etc.
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Experience with data wrangling, data matching, and ETL techniques while programming in several languages (Python, R, SQL, and Spark) to extract and transform data from a variety of data sources (Oracle, SQL, Hadoop.
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r sql computer science jobs Title: analytics Company: Chipotle Mexican Grill in Holdrege, Nebraska
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