Dice
Senior Data Scientist
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!Position: Senior Data Scientist
Duration: 12+ Months
Location: Sunnyvale, CA
Qualifications
Solid background in machine learning, deep learning, statistical analysis, and software development.Proficient in data mining, machine learning, and deep learning packages in Python/Tensorflow/Keras.Experience working with large data sets and cloud computing (Hive, Spark, Google Cloud Platform, or Azure).Proficient in coding SQL, Python, Java, or JavaScript.Advanced degree (Master or PhD) in any STEM field plus 4-6 years of related experience.Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years of experience in an analytics-related field.5 years of experience in analytics or Data Science, machine learning, optimization models, with a 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 (e.g., scikit-learn, TensorFlow, Torch).Knowledge of accessibility best practices and experience with Web Content Accessibility Guidelines (WCAG) 2.2 AA standards.Responsibilities
Perform hands-on data exploration, processing, and analysis on massive data sets.Use machine learning, deep learning, and reinforcement learning techniques to develop robust solutions for account takeover detection, payment fraud detection, fake account signup solutions, and identity risk assessment.Communicate results to stakeholders and present projects in internal or external conferences.Research and develop advanced algorithms and techniques that address complex business problems.Utilize broad and deep knowledge of machine learning and software engineering to contribute to the team's core machine learning capabilities.
#J-18808-Ljbffr
Duration: 12+ Months
Location: Sunnyvale, CA
Qualifications
Solid background in machine learning, deep learning, statistical analysis, and software development.Proficient in data mining, machine learning, and deep learning packages in Python/Tensorflow/Keras.Experience working with large data sets and cloud computing (Hive, Spark, Google Cloud Platform, or Azure).Proficient in coding SQL, Python, Java, or JavaScript.Advanced degree (Master or PhD) in any STEM field plus 4-6 years of related experience.Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years of experience in an analytics-related field.5 years of experience in analytics or Data Science, machine learning, optimization models, with a 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 (e.g., scikit-learn, TensorFlow, Torch).Knowledge of accessibility best practices and experience with Web Content Accessibility Guidelines (WCAG) 2.2 AA standards.Responsibilities
Perform hands-on data exploration, processing, and analysis on massive data sets.Use machine learning, deep learning, and reinforcement learning techniques to develop robust solutions for account takeover detection, payment fraud detection, fake account signup solutions, and identity risk assessment.Communicate results to stakeholders and present projects in internal or external conferences.Research and develop advanced algorithms and techniques that address complex business problems.Utilize broad and deep knowledge of machine learning and software engineering to contribute to the team's core machine learning capabilities.
#J-18808-Ljbffr