What are the responsibilities and job description for the Data Scientist (Banking, Finance) in Atlanta, GA- Hybrid position at VHL Technologies?
Job Details
Role- Data Scientist- Banking and Finance experience
Location- Atlanta, GA-Hybrid
Duration- Long term
Need applicants with Banking and Financial experience.
Role Description:
- 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
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
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