Job Title: Sr. Data Scientist

Experience: 10+ Years

Skills: Data Scientist, Python/PySpark , AWS, SQL

Locations: Alpharetta GA

We at Coforge are hiring for Sr. Data Scientist with the following skillset:

Technical skills

10+ years exp (for Data Scientist) (for Sr. DS) of which 5 years of relevant data science experience

Proven experience in developing and deploying fraud detection or risk models in AWS production environments.

Experience in

Devising creative analytical approaches to solve business problems

Developing and enhancing algorithms and models to solve business problem

Maintaining all models along with development and updating of code and process documentation

Designing data science solution approaches to unstructured problems, conducting quantitative analyses and interpreting results

Proficient in Python / PySpark programming language is a mandatory

Strong SQL, Microsoft Excel, PowerPoint skills

Data science approaches, machine learning algorithms and statistical methods.

Excellent written and verbal communication skills

Strong understanding of fraud patterns and digital transaction behaviours

Model versioning and containerization experience in AWS ecosystem, i.e., SageMaker, Docker, and EKS

Hands-on experience working within agile teams or squads on data science delivery.

Roles and Responsibilities:

Work closely with Onsite Lead, ML Engineer, Data Engineers, and QA and client stakeholders to produce end-to-end pipelines that deliver business value to client Fraud Ops

Design and develop fraud and scams detection models tailored to digital and card transaction data.

Lead feature engineering, feature selection, and hyperparameter tuning for model optimization.

Collaborate with business stakeholders, engineers, and squad members from initial discovery to deployment.

Articulate design choices, modelling approaches, and monitoring strategies effectively.

Develop and maintain ML pipelines for model training, evaluation, deployment, and monitoring in AWS.

Deploy and manage ML models using AWS SageMaker, Lambda, Step Functions, and API Gateway.

Optimize ML models for scalability, performance, and cost-efficiency in a cloud environment.

Deploy models into production using modern MLOps practices.

Implement A/B testing and performance evaluation metrics for optimal model effectiveness.

Drive reduction in false positives/negatives relative to benchmark

Qualifications: Graduate or Postgraduate from a reputed institute

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