Senior Data Scientist: GenAI & ML for Financial Analytics

Fa Ewjt Saasfaprod1; Jersey City (NJ); On-site; USD 120,000 - 140,000; Full time

Job summary

Fa Ewjt Saasfaprod1 is seeking a highly experienced Senior Data Scientist to drive advanced analytics initiatives in financial services and insurance domains. You will design, develop, and deploy production-grade ML and GenAI solutions using both structured and unstructured data, with emphasis on NLP, embeddings, and RAG architectures.

You will lead model development, validation, and deployment, collaborating with data engineers, ML engineers, and business stakeholders to deliver measurable

Qualifications

• 7+ years of experience in Data Science, Advanced Analytics, ML, or Statistical Modeling.
• Strong statistics and applied mathematics knowledge including regression, inference, and experimental design.
• Hands-on experience with traditional and advanced ML algorithms (regression, trees, boosting, clustering, time-series).
• Proficiency in Python with pandas, NumPy, scikit-learn, PyTorch, TensorFlow, XGBoost, and Transformers.

Responsibilities

• Design, develop, and deploy ML and GenAI solutions for financial services and insurance problems.
• Build predictive models using diverse techniques including regression, classification, clustering, and time-series forecasting.
• Perform exploratory data analysis, hypothesis testing, feature engineering, and model validation.
• Collaborate with stakeholders and engineers to translate business requirements into scalable analytics and AI solutions.

Skills

Machine Learning

Statistics

Python

NLP

LLMs

Retrieval-Augmented Generation

Model Evaluation

Communication

Problem Solving

Education

Bachelor's degree in data science or related field

Tools

PyTorch

TensorFlow

XGBoost

Transformers

LangChain

LlamaIndex

Hugging Face

Job description

Fa Ewjt Saasfaprod1 is seeking a highly experienced Senior Data Scientist to drive advanced analytics initiatives in financial services and insurance domains. You will design, develop, and deploy production-grade ML and GenAI solutions using both structured and unstructured data, with emphasis on NLP, embeddings, and RAG architectures.

You will lead model development, validation, and deployment, collaborating with data engineers, ML engineers, and business stakeholders to deliver measurable