Dice
Data Scientist with PHD
Dice, Sunnyvale, California, United States, 94087
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Caspex Corporation, is seeking the following. Apply via Dice today!
Prefer a candidate with more ML modeling experience.
QualificationsSolid background in machine learning, deep learning, statistical analysis, and software developmentProficient in data mining, machine learning, and deep learning packages in Python/Tensorflow/KerasExperience working with large data sets and cloud computing (Hive, Spark, Google Cloud Platform, or Azure)Proficient in coding SQL, Python, Java, or JavaScriptAdvanced degree (Master or PhD) in any STEM field plus 4-6 years of related experienceOption 1 - Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related fieldOption 2 - 5 years' experience in an analytics or Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, EconometricsSuccessful completion of one or more assessments in Python, Spark, Scala, or R, using open source frameworks (for example, scikit learn, tensorflow, torch)We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlesslyThe ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive cultureResponsibilitiesPerform hands-on data exploration, processing, and analysis on massive data setsUse machine learning, deep learning, reinforcement learning techniques to develop robust solutions for Account Takeover detection, payment fraud detection, fake account signup solutions and identity risk assessmentCommunicate the results to stakeholders and present the projects in internal or external conferencesResearch and develop advanced algorithms and techniques that address complex business problemsUtilize the broad and deep knowledge of Machine Learning and Software Engineering to contribute to the team's core machine learning capabilitiesData Scientist with PhD
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Prefer a candidate with more ML modeling experience.
QualificationsSolid background in machine learning, deep learning, statistical analysis, and software developmentProficient in data mining, machine learning, and deep learning packages in Python/Tensorflow/KerasExperience working with large data sets and cloud computing (Hive, Spark, Google Cloud Platform, or Azure)Proficient in coding SQL, Python, Java, or JavaScriptAdvanced degree (Master or PhD) in any STEM field plus 4-6 years of related experienceOption 1 - Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related fieldOption 2 - 5 years' experience in an analytics or Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, EconometricsSuccessful completion of one or more assessments in Python, Spark, Scala, or R, using open source frameworks (for example, scikit learn, tensorflow, torch)We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlesslyThe ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive cultureResponsibilitiesPerform hands-on data exploration, processing, and analysis on massive data setsUse machine learning, deep learning, reinforcement learning techniques to develop robust solutions for Account Takeover detection, payment fraud detection, fake account signup solutions and identity risk assessmentCommunicate the results to stakeholders and present the projects in internal or external conferencesResearch and develop advanced algorithms and techniques that address complex business problemsUtilize the broad and deep knowledge of Machine Learning and Software Engineering to contribute to the team's core machine learning capabilitiesData Scientist with PhD
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