Data Scientist with Banking Finance Experience c2c job opportunities Atlanta, GA

Position : Data Scientist with Banking Finance Experience

Location : Atlanta, GA (Hybrid – 3 days from office – T, W, T)

Job Type : Contract

Note : Candidates must have min 14+ years of in IT, visa copy & passport number are mandatory.

Overview :

Must have:

Python
Jupyter
TensorFlow
Keras
ScikitLearn
 

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