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Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C. Our client, the world's leading search engine and technology company, is seeking a UX Research Associate.
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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) Primary Location.
$286,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. As finance cycles converge, we advise, implement, and operate best-in-class solutions across actuals and forecast to accelerate insights including finance and analytics, planning, FP&A as-a-service, finance technology strategy, and ERP-enabled finance transformation.
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Strong quantitative analysis and data mining skills e.g. SQL, R, Python and Excel required. Our digital ecosystem combines the power of technology to create beautiful smiles through the integration of AI and machine learning, digital imaging and visualization, biomechanics and material science to develop the Invisalign system, the most advanced clear aligner system in the world; iTero Intraoral Scanners and OrthoCAD digital services.
$213,915 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency applying both qualitative and quantitative methods such as usability testing, focus groups, interviews, concept evaluation, diary studies, surveys, data analysis (SPSS, R or Python), A/B testing etc.
$167,111 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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JavaScript, Kotlin, Dart, PHP, Go, Python; Furthermore, you will have the opportunity to join the in-depth technical explorations of Perf&Crash, Build Tools, Developer Experience, and cross-platform technology, and even propose new directions and projects that continually improve our Mobile system architecture.
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Expertise in SQL, R, Python or other programming language to query data and perform analysis. In collaboration with web product, marketing technology, and other stakeholders this role will be responsible for conducting deep dive analyses to identifying opportunities for development, designing and analyzing A/B tests of new web features, and building reporting tools for rapid, accurate, and actionable insights.
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We're looking for a Tech Lead Manager who will lead a team of software engineers to work on developer infrastructure/tools and help us improve the performance, stability, and R&D efficiency of mobile applications owned by us.
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Familiarity with SQL, BigQuery, Python, R, Minitab, or SPSS. 5+ years of product management or product marketing experience at a consumer, enterprise, or advertising technology company.
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Our commitment to innovation is backed by a robust team of more than 100 talented engineers spread across four R&D facilities worldwide and an extensive portfolio of over 120 global patent filings, underscoring our dedication to pushing the boundaries of radio technology.
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Successful completion of one or more assessments in Python, Spark, Scala, or R, using open source frameworks (e.g., scikit-learn, TensorFlow, Torch). Proficient in data mining, machine learning, and deep learning packages in Python/Tensorflow/Keras.
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Experience with machine learning using scripting languages such as Python/R and GPU programming. Implement solutions in experimental code (Python, TensorFlow, Pytorch) using industry best practices in software development.
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Experience with SAS, SQL, Python, R, Power Query, DAX, BPC, Power BI, Tableau, Alteryx, and other visualization tools a plus. Are you ready to demonstrate your financial expertise and embark on an exciting journey into the innovative realm of technology.
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Identifying and incorporating tools and techniques using technology applications (e.g. Microsoft SQL Server, ACL, Access/Excel, Visual Basic, R, Python, SAS, Stata, Alteryx) and build reporting capabilities through data visualization (e.g. Tableau, Spotfire, Qlikview, Einstein Analytics.
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Experience doing statistical analysis (e.g. regression, probability) using tools such as Python, R, MATLAB, SPSS, SAS, Stata, etc. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R.
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