Data Scientist - Finance AI & Analytics

Accountabilities:

• • Develop statistical and machine learning models using a modeling and simulation approach to quantify uncertainty, evaluate potential outcomes, and support business scenario planning.
  • Translate complex finance and business-management challenges into well-defined analytical questions and determine the most appropriate methodologies to address them.
  • Build clean, well-structured, understandable, and maintainable code that supports collaboration, reproducibility, and successful model deployment.
  • Serve as a trusted technical advisor on data science methodologies, modeling approaches, and technology decisions, while communicating requirements effectively to technology partners.
  • Work collaboratively across multiple teams to deliver analytics initiatives, manage stakeholder relationships, and communicate findings in a clear and actionable way.
  • Mentor junior data science team members by sharing technical guidance, best practices, and approaches to solving complex analytical problems.
  • Stay current with emerging data science, machine learning, and analytics methodologies and identify innovative opportunities to create measurable business value.
  • Contribute to enterprise-level analytics transformation by helping evolve processes, technical capabilities, and data-driven decision-making practices.

  Requirements:

  • Bachelor’s degree with 5+ years of related professional experience, Master’s degree with 3+ years, or PhD with 1+ years for Level 3; alternatively, Bachelor’s degree with 8+ years, Master’s degree with 6+ years, or PhD with 3+ years for Level 4.
  • Deep foundational knowledge of statistical modeling and machine learning concepts, with the ability to select and apply appropriate techniques to complex business problems.
  • At least 4 years of professional experience with Python and strong proficiency in data transformation using SQL or a comparable data-querying language.
  • Experience using version control systems such as Git within collaborative development environments.
  • Hands-on experience with cloud-based data science technologies such as AWS, Azure, Databricks, Spark, or PySpark.
  • Proven ability to translate business challenges into analytical questions, develop data-driven solutions, and communicate findings to both technical and non-technical audiences.
  • Strong collaboration and stakeholder-management skills, with the ability to work effectively across multiple teams and manage relationships throughout complex projects.
  • A degree in a quantitative discipline such as computer science, mathematics, statistics, engineering, or a related field is preferred.
  • Experience with Monte Carlo simulation, time-series modeling, probabilistic modeling, productionizing models, executive presentations, or finance/business-management data is highly desirable.
  • U.S. citizenship may be required for positions involving government clearance or other restricted work.

  Benefits:

  • Salary: $113,900–$170,900 for Level 3 or $142,200–$213,200 for Level 4, depending on qualifications, experience, skills, responsibilities, and market conditions.
  • Additional compensation: Eligible employees may receive overtime, shift differentials, and discretionary bonuses based on individual and organizational performance.
  • Health coverage: Medical and other health insurance benefits, along with life and disability insurance.
  • Financial benefits: Savings and retirement plan options to support long-term financial well-being.
  • Time off: Company-paid holidays and paid time off for vacation or personal business.
  • Work flexibility: Opportunity for a 100% virtual/telework arrangement, with the position based in Falls Church, Virginia.
  • Career development: Opportunities to work on complex enterprise analytics initiatives, collaborate with multidisciplinary teams, and expand technical and leadership capabilities.