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