Job Title: Data Science Lead - Abinitio Specialist ($35/Hour) at American Express
Join our team as a Data Science Lead - Abinitio Specialist and drive business success with your expertise in predictive modeling and data analysis. We offer a flexible, hybrid remote work arrangement, competitive salary, and a comprehensive benefits package. As a Data Science Lead, you will have the opportunity to work on complex projects, collaborate with cross-functional teams, and develop innovative solutions to drive business growth.
As a Data Science Lead - Abinitio Specialist, you will be responsible for:
Developing and implementing predictive models to solve business problems in the financial industry
Applying statistical and econometric modeling techniques to analyze large datasets and drive business insights
Collaborating with stakeholders to communicate complex technical concepts and drive business decisions
Utilizing advanced data analysis tools, including Abinitio, Python, R, and SAS, to drive business outcomes
Staying up-to-date with emerging technologies and trends in data science to drive innovation and business growth
Requirements:
Graduate degree in a relevant field, such as Mathematics, Statistics, Computer Science, or Engineering
2+ years of experience in applying statistical and econometric modeling techniques to solve business problems
1+ year of experience in data analysis, data visualization, and data mining
Strong programming skills in languages such as Python, R, and SAS
Experience with data visualization tools, such as Tableau, and database query languages, such as SQL
What We Offer:
Competitive salary and bonus structure
Comprehensive benefits package, including medical, dental, vision, and retirement savings plan
Opportunities for professional development and growth
Flexible, hybrid remote work arrangement
Access to cutting-edge technologies and tools
Diversity and Inclusion:
American Express is an equal opportunity employer and welcomes applications from diverse candidates. We are committed to creating an inclusive work environment that values diversity, equity, and inclusion.
How to Apply:
If you are a motivated and talented individual with a passion for data science, please submit your application, including your resume and a cover letter, to be considered for this exciting opportunity.
Apply Now
Apply Now
As a Data Science Lead - Abinitio Specialist, you will be responsible for:
Developing and implementing predictive models to solve business problems in the financial industry
Applying statistical and econometric modeling techniques to analyze large datasets and drive business insights
Collaborating with stakeholders to communicate complex technical concepts and drive business decisions
Utilizing advanced data analysis tools, including Abinitio, Python, R, and SAS, to drive business outcomes
Staying up-to-date with emerging technologies and trends in data science to drive innovation and business growth
Requirements:
Graduate degree in a relevant field, such as Mathematics, Statistics, Computer Science, or Engineering
2+ years of experience in applying statistical and econometric modeling techniques to solve business problems
1+ year of experience in data analysis, data visualization, and data mining
Strong programming skills in languages such as Python, R, and SAS
Experience with data visualization tools, such as Tableau, and database query languages, such as SQL
What We Offer:
Competitive salary and bonus structure
Comprehensive benefits package, including medical, dental, vision, and retirement savings plan
Opportunities for professional development and growth
Flexible, hybrid remote work arrangement
Access to cutting-edge technologies and tools
Diversity and Inclusion:
American Express is an equal opportunity employer and welcomes applications from diverse candidates. We are committed to creating an inclusive work environment that values diversity, equity, and inclusion.
How to Apply:
If you are a motivated and talented individual with a passion for data science, please submit your application, including your resume and a cover letter, to be considered for this exciting opportunity.
Apply Now
Apply Now