Senior Data Scientist

Due to the nature of the contract, a US. citizenship is required.
Favorable T-3, T-3R or NACLC adjudication.
6 years of full-time experience (including internships) performing data analysis related tasks.
Bachelor’s degree discipline: Accounting, Business, Finance, Supply Chain Management, Engineering, Computer Science, Information Systems, Administration or other related business, scientific or technical discipline.

Lead the development and maintenance of PowerBI dashboards, ensuring effective tracking of financial data (e.g., execution, reimbursements, unmatched transactions).
Utilize advanced data analysis techniques to track, monitor, and report on financial data, ensuring alignment with fiscal and budgetary goals.
Analyze large datasets to identify trends and provide insights into budget and financial execution, advising management on potential adjustments.
Develop complex data models and algorithms to support financial reporting, variance analysis, and data visualization.
Lead the use of various tools, including SQL and QLIK, to ensure optimal data mapping, reporting, and financial analysis.
Create and optimize automated financial reports using PowerBI, responding to ad-hoc data calls and ensuring timely and accurate reporting.
Conduct advanced analytics on financial transactions and budget reports, providing actionable insights to support decision-making.
Lead the analysis of complex financial data, assisting in budgeting, forecasting, and reconciliation processes.
Support Reimbursable Collections meetings, leading discussions and presenting data-driven insights to stakeholders.
Provide data science expertise to improve financial data processes and support the successful implementation of financial systems.