Quanitative Engineering Manager
We are unable to sponsor as this is a permanent full time role A prestigious fortune 500 company is on the search for a Quantitative Engineer Manager, Data Scientist.
This is an individual contributor position and this role will be assessing the worthiness of prospective borrower's credit.
They need experience with ML/AI, Big Data, Cloud technologies, Microservices, Python, PySpark, and should have a Doctorate degree or Masters.
Responsibilities:
Build and manage sustainable partnerships with business and technology partners to ensure that their needs are met with IDEA services.
Solve demanding and complicated business problems by applying modern technology and best practices to the engineering of large data sets.
Lead Text Analytics and Image Processing R&D efforts and influence business and IT teams to drive decisions.
Responsible for designing and implementing AI/ML systems/models as part of our data engineering framework such as converting free form text into insights.
Working with IT partners to operationalize the AI/ML models by building ML Ops platform that adheres to model governance.
Collaborate with business SMEs and technical SMEs to develop features.
Works on issues of diverse scope where analysis of situation or data requires evaluation of a variety of factors, including an understanding of current data environments and processes.
Develop Model 2 Service solutions with microservices.
Would be required to engage using SAS, SQL, Python, R, PySpark, PIG, HIVE scripts to filter/map/aggregate data in a variety of structured and unstructured formats(eg XMLs, CSVs, Fixed length, JSONs and PDFs).
Qualifications:
Doctorate/Master's degree (or Bachelor's degree with equivalent work experience and evidence of exceptional ability) in a quantitative field (eg, Statistics, Data Science, Quantitative Finance, Computer Science, Mathematics, Industrial Engineering or related fields) 8
years of work experience in Machine Learning, Artificial Intelligence, Data analytics, Data engineering, Data science or related fields; 5
years of experience in people management Strong predictive data modeling experience is required, with proven application in applying decision trees, regression analysis, deep neural networks, clustering, machine learning, NLP and other data mining techniques Competency or certifications with SAS, SQL, Python, R or other data mining and analytical tools Familiar with business intelligence tools such as Tableau and MicroStrategy Solid understanding of Data Platforms such as Databases, Non-SQL Data Repositories, and Big Data and ML platforms like Tensor flow.
Foundational knowledge on AWS Cloud Platforms, AWS AI/ML packages and Microservices.
- provided by Dice.
Estimated Salary: $20 to $28 per hour based on qualifications.
This is an individual contributor position and this role will be assessing the worthiness of prospective borrower's credit.
They need experience with ML/AI, Big Data, Cloud technologies, Microservices, Python, PySpark, and should have a Doctorate degree or Masters.
Responsibilities:
Build and manage sustainable partnerships with business and technology partners to ensure that their needs are met with IDEA services.
Solve demanding and complicated business problems by applying modern technology and best practices to the engineering of large data sets.
Lead Text Analytics and Image Processing R&D efforts and influence business and IT teams to drive decisions.
Responsible for designing and implementing AI/ML systems/models as part of our data engineering framework such as converting free form text into insights.
Working with IT partners to operationalize the AI/ML models by building ML Ops platform that adheres to model governance.
Collaborate with business SMEs and technical SMEs to develop features.
Works on issues of diverse scope where analysis of situation or data requires evaluation of a variety of factors, including an understanding of current data environments and processes.
Develop Model 2 Service solutions with microservices.
Would be required to engage using SAS, SQL, Python, R, PySpark, PIG, HIVE scripts to filter/map/aggregate data in a variety of structured and unstructured formats(eg XMLs, CSVs, Fixed length, JSONs and PDFs).
Qualifications:
Doctorate/Master's degree (or Bachelor's degree with equivalent work experience and evidence of exceptional ability) in a quantitative field (eg, Statistics, Data Science, Quantitative Finance, Computer Science, Mathematics, Industrial Engineering or related fields) 8
years of work experience in Machine Learning, Artificial Intelligence, Data analytics, Data engineering, Data science or related fields; 5
years of experience in people management Strong predictive data modeling experience is required, with proven application in applying decision trees, regression analysis, deep neural networks, clustering, machine learning, NLP and other data mining techniques Competency or certifications with SAS, SQL, Python, R or other data mining and analytical tools Familiar with business intelligence tools such as Tableau and MicroStrategy Solid understanding of Data Platforms such as Databases, Non-SQL Data Repositories, and Big Data and ML platforms like Tensor flow.
Foundational knowledge on AWS Cloud Platforms, AWS AI/ML packages and Microservices.
- provided by Dice.
Estimated Salary: $20 to $28 per hour based on qualifications.
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