Senior Data Scientist - Banking AI & Production ML

Tiger Analytics; Atlanta (GA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Retirement accounts

Long-term disability

Short-term disability

Life insurance

HSA/FSA USA

Discretionary time off

Job summary

Tiger Analytics is seeking a hands-on Senior Data Scientist to join our Atlanta, GA team. You will design, develop, and deploy cutting-edge ML models for major Banking and Financial Services clients, translating complex challenges into robust AI/ML solutions with production-grade Python code.

You will work closely with enterprise clients, product managers, and engineering teams to ensure scalable, reliable model deployment, drift monitoring, and impactful business outcomes.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or related quantitative field.
• 6–10 years of Data Science/ML experience in enterprise settings.
• Proven ability to translate business challenges into robust AI/ML solutions.

Responsibilities

• Design, develop, and deploy machine learning and predictive models for banking/financial services.
• Write clean, modular production-grade Python code for end-to-end data work.
• Collaborate with stakeholders to refine requirements and deliver data-driven solutions.
• Work with MLOps and cloud engineering for scalable production deployment and monitoring.
• Present findings and business impact to technical and non-technical audiences.

Skills

Python

Pandas

NumPy

Scikit-Learn

XGBoost

TensorFlow

PyTorch

SQL

Education

Bachelor/Master in CS or related

Tools

TensorFlow

PyTorch

Scikit-Learn

Job description

Tiger Analytics is seeking a hands-on Senior Data Scientist to join our Atlanta, GA team. You will design, develop, and deploy cutting-edge ML models for major Banking and Financial Services clients, translating complex challenges into robust AI/ML solutions with production-grade Python code.

You will work closely with enterprise clients, product managers, and engineering teams to ensure scalable, reliable model deployment, drift monitoring, and impactful business outcomes.