Grid Dynamics
Data Scientist
Grid Dynamics, San Ramon, California, United States, 94583
We are looking for an accomplished data scientist, who is a master at analyzing big data. The team works on projects in Churn Prevention, Customer Loyalty, Tree Based Models, as well as text-to-speech technologies.The goal is to consistently improve existing ML models and tools as well as to introduce new impactful assets using machine learning and deep learning techniques. You will be using latest and most effective deep learning technologies and we are open to research new approaches.
Responsibilities
Collecting, analysis and clean up dataCreating algorithms for processing catalog products using different data sourcesExperimenting with different models and neural networks, creating model ensemblesCreating a workflow for publishing algorithms to production
Requirements
Hands-on experience in building and deploying machine learning and statistical models using Python, PySpark, Machine Learning libraries, SQL.Experience in computing/programming skills; proficiency in Python, R, and Linux shell script.Experience in data management and data analysis in a relational database, Hadoop and Spark.Experience with Cloud computing platforms - GCPExperience in productionalizing ML models - building data pipelines, model framework and model deployment.Strong communication and interpersonal influencing skills.Excellent problem solving and critical thinking capabilitiesDesirable: PyTorch, Deep Learning, NLP, reinforcement learning, recommender system, etc.Bachelor’s degree with six or more years of relevant work experience as a Data Scientist practicing model development and production for business applications; Or a Master's Degree in Computer Science, Statistics, Math, Economics, Engineering, or Data Science related fields with two or more years of relevant experience as a data scientist or machine learning engineer.
What We Offer
Opportunity to work on bleeding-edge projectsWork with a highly motivated and dedicated teamCompetitive salaryFlexible scheduleBenefits package - medical insurance, sportsCorporate social eventsProfessional development opportunities
About Us
Grid Dynamics (Nasdaq:GDYN) is a digital-native technology services provider that accelerates growth and bolsters competitive advantage for Fortune 1000 companies. Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization. Grid Dynamics achieves high speed-to-market, quality, and efficiency by using technology accelerators, an agile delivery culture, and its pool of global engineering talent. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, UK, Netherlands, Mexico, and Central and Eastern Europe.
To learn more about Grid Dynamics, please visit www.griddynamics.com . Follow us on Facebook , Twitter , and LinkedIn .#J-18808-Ljbffr
Responsibilities
Collecting, analysis and clean up dataCreating algorithms for processing catalog products using different data sourcesExperimenting with different models and neural networks, creating model ensemblesCreating a workflow for publishing algorithms to production
Requirements
Hands-on experience in building and deploying machine learning and statistical models using Python, PySpark, Machine Learning libraries, SQL.Experience in computing/programming skills; proficiency in Python, R, and Linux shell script.Experience in data management and data analysis in a relational database, Hadoop and Spark.Experience with Cloud computing platforms - GCPExperience in productionalizing ML models - building data pipelines, model framework and model deployment.Strong communication and interpersonal influencing skills.Excellent problem solving and critical thinking capabilitiesDesirable: PyTorch, Deep Learning, NLP, reinforcement learning, recommender system, etc.Bachelor’s degree with six or more years of relevant work experience as a Data Scientist practicing model development and production for business applications; Or a Master's Degree in Computer Science, Statistics, Math, Economics, Engineering, or Data Science related fields with two or more years of relevant experience as a data scientist or machine learning engineer.
What We Offer
Opportunity to work on bleeding-edge projectsWork with a highly motivated and dedicated teamCompetitive salaryFlexible scheduleBenefits package - medical insurance, sportsCorporate social eventsProfessional development opportunities
About Us
Grid Dynamics (Nasdaq:GDYN) is a digital-native technology services provider that accelerates growth and bolsters competitive advantage for Fortune 1000 companies. Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization. Grid Dynamics achieves high speed-to-market, quality, and efficiency by using technology accelerators, an agile delivery culture, and its pool of global engineering talent. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, UK, Netherlands, Mexico, and Central and Eastern Europe.
To learn more about Grid Dynamics, please visit www.griddynamics.com . Follow us on Facebook , Twitter , and LinkedIn .#J-18808-Ljbffr