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Immediate job opportunities – Data Scientist with Banking & Finance Experience – Atlanta, GA (Hybrid) – Contract

Hi,

 

This is Sakthi Priya from Cortex Consultants.

Cortex is a premier staffing & managed services company providing an array of services to clients ranging from Start-ups to global Fortune 500 companies in North America for over a decade.

 

We have an exciting Contract opportunity for a Data Scientist with Banking & Finance Experience with one of our major clientsBelow I mentioned the detailed job description for your reference. Kindly go through it and let me know your interest with your updated resume.

 

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

 

Kindly let me know your interest.

 

Canada | USA

 

Sakthi Priya

Sakthi.p@cortexconsultants.com

www.cortexconsultants.com 

181, New Rd, Parsippany, NJ 07054

 

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