Data Scientist
Job Description
Ph.d or Certified Data Scientist
Degree in Statistics and Mathematics related technical field.
Subject matter expertise in Logistics and Supplier Chain Domain
5+ years’ experience in performing Predictive, Descriptive, Prescriptive and quantitative analysis.
Experience in at least one scientific computing language such as Python, R, SAS etc.
Designing and building innovative models for predictive learning
Proficient Knowledge in solving complex problems to bring value to the business
Able to Develop Predictive Models to identify potential opportunities and risks using the data sets
Interpret data, analyze results using statistical techniques and provide ongoing trends or patterns and reports.
Identify, analyze, and interpret trends or patterns in complex data sets using Artificial Intelligence and Machine Learning Techniques
Work with business users to ensure collection and logging of data needed to provide insights on user engagement and help drive business decisions.
Able to solve problems that combine your analysis skills with Operations, marketing, finance, customer success, or sales.
Support the teams that empower creative businesses around the world to grow and thrive.
Engineering high performance computing platforms and algorithms for a wide variety of data
Able to efficiently apply machine learning and analytical techniques to create scalable solutions
Experience with distributed system performance analysis and optimization
Familiar with cloud services
Experience in NLP, Deep learning& Machine Learning.
Experience in training machine learning models or developing machine learning infrastructure. Strong communications skills; you will be required to proactively engage colleagues both inside and outside of your team
Ability to effectively articulate technical challenges and solutions
Deal well with ambiguous/undefined problems; ability to think abstractly
Degree in Statistics and Mathematics related technical field.
Subject matter expertise in Logistics and Supplier Chain Domain
5+ years’ experience in performing Predictive, Descriptive, Prescriptive and quantitative analysis.
Experience in at least one scientific computing language such as Python, R, SAS etc.
Designing and building innovative models for predictive learning
Proficient Knowledge in solving complex problems to bring value to the business
Able to Develop Predictive Models to identify potential opportunities and risks using the data sets
Interpret data, analyze results using statistical techniques and provide ongoing trends or patterns and reports.
Identify, analyze, and interpret trends or patterns in complex data sets using Artificial Intelligence and Machine Learning Techniques
Work with business users to ensure collection and logging of data needed to provide insights on user engagement and help drive business decisions.
Able to solve problems that combine your analysis skills with Operations, marketing, finance, customer success, or sales.
Support the teams that empower creative businesses around the world to grow and thrive.
Engineering high performance computing platforms and algorithms for a wide variety of data
Able to efficiently apply machine learning and analytical techniques to create scalable solutions
Experience with distributed system performance analysis and optimization
Familiar with cloud services
Experience in NLP, Deep learning& Machine Learning.
Experience in training machine learning models or developing machine learning infrastructure. Strong communications skills; you will be required to proactively engage colleagues both inside and outside of your team
Ability to effectively articulate technical challenges and solutions
Deal well with ambiguous/undefined problems; ability to think abstractly
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