A Fortune 50 financial services organization is seeking a highly skilled Senior Data Scientist to support advanced analytical initiatives across complex data environments.

***This is a Hybrid opportunity requiring the qualified professional to work onsite at least 3 days a week.***

Responsibilities:

Develop and implement advanced statistical and machine learning models to analyze complex datasets and drive business insights

Apply probabilistic theory, game theory, and dynamic systems concepts to solve real-world problems

Design and optimize data models, database structures, and data pipelines to support analytical initiatives

Perform data mining, analysis, and modeling to identify patterns, trends, and opportunities

Develop and deliver data visualizations and dashboards to communicate insights effectively to stakeholders

Collaborate with cross-functional teams to translate business needs into analytical solutions

Present findings and recommendations to both technical and non-technical audiences, including senior leadership

Continuously evaluate and improve model performance, algorithms, and analytical methodologies

Support development of predictive models, simulations, and optimization strategies

Ensure alignment with data governance, security, and compliance standards

Qualifications:

10+ years of experience in Data Science, Quantitative Analysis, or related fields, and/or a Doctorate in Mathematics, Physics, Statistics, or a related discipline

Advanced knowledge of Probabilistic Theory, Game Theory, and Dynamic Systems Theory

Strong understanding of Machine Learning, Statistical Modeling, and Algorithm Development

Experience with Database Design, Data Mining, and Data Modeling concepts

Proven ability to develop effective Data Visualization strategies

Strong communication skills with the ability to translate complex technical concepts into business insights

Desired Qualifications:

Advanced knowledge of algorithmic, Bayesian, Nash equilibrium, and related Game Theory disciplines

Proficiency with SQL, Python, Jupyter Notebook/Lab, and modern analytical frameworks

Experience with data visualization tools such as Power BI or Plotly

Exposure to Cybersecurity frameworks and related Data Analysis

Experience working in large-scale, enterprise, or regulated environments

Senior Data Scientist

Key skills

About this role