Senior Data Scientist

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