What are the responsibilities and job description for the Data Scientist with Banking & Finance Experience - Atlanta, GA (Locals Preferred) position at Modern Agile Technologies, LLC?
Job Details
Role: Data Scientist with Banking & Finance Experience
Location: Atlanta, GA
Work Mode: Hybrid ( 3 days from office) (T, W, T)
Experience: Min 12 Years
Must have:
- Python
- Jupyter
- TensorFlow
- Keras
- Scikit Learn
Experience needed
- BS degree in a STEM major or equivalent discipline
- 7-8 years of experience in a related analytical role
- Overall 12 Years of experience
- Proven track record of designing and developing predictive models in real-world applications, preferably Banking and Finance domain
- Experience with model performance evaluation and predictive model optimization for accuracy and efficiency
Good to have experience
- Cloud certification strongly preferred
- Additional role-based certifications may be required depending upon region/BU requirement
- Passion for data science, data mining, machine learning and experience with big data architectures and methods
- Past Experience in SAS or Operations Research models
Roles and Responsibility
- Entity Resolution and Innovation, manipulate large data sets,
- Integrate diverse data sources, data types and data structures into solutions under management guidance.
- Analytical approaches to meet business requirements and
- explore integrating AI methodologies within Entity Resolution System, which involves translating requests into use cases, test cases, preparation of training data sets and iterative algorithm development.
- Qualification
- Proven track record of designing and developing predictive models in real-world applications
- Experience with model performance evaluation and predictive model optimization for accuracy and efficiency
- Additional role-based certifications may be required depending upon region/BU requirements
- Passion for data science, data mining, machine learning and experience with big data architectures and methods
- A master s degree in a quantitative field (Statistics, Mathematics, Economics)
Responsibilities
- Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutions
- Collect, analyze and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise
- Support the analytical strategy by understanding critical technical capabilities and suggesting opportunities
- Lead the development or projects with multiple deliverables, leveraging business and technical expertise
- Work on high-complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions
- Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users
- Communicate results to external stakeholders and mid-level leadership, able to communicate business impact of work
- Evaluate the technical work of peer and junior data scientists, guiding them on deliverable quality and accuracy
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $60
