Senior Data Scientist

Senior Data Scientist

Work is Hybrid on site 3 days per week in one of the following locations:

Pensacola FL

Winchester VA

Vienna VA

A 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