Senior Data Scientist - Finance

Requisition ID:  284731

• Relocation Authorized:  National - Family
• Grade:  26-27
• Position to be Panel Interviewed?  Yes
• Telework Type: Hybrid 
• Work Location: Open to Washington DC or Reston, VA 
• Employee Referral Amount:  
• Salary Range: $105,060 - $182,670 annually (Determined by function, education, experience, and qualifications of the applicant.).

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Extraordinary teams building inspiring projects:

Since 1898, we have helped customers complete more than 25,000 projects in 160 countries on all seven continents that have created jobs, grown economies, improved the resiliency of the world's infrastructure, increased access to energy, resources, and vital services, and made the world a safer, cleaner place. 

Differentiated by the quality of our people and our relentless drive to deliver the most successful outcomes, we align our capabilities to our customers' objectives to create a lasting positive impact. We serve the Infrastructure; Nuclear, Security & Environmental; Energy; Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial planning and investment, through start-up and operations. 

Core to Bechtel is our Vision, Values and Commitments. They are what we believe, what customers can expect, and how we deliver. Learn more about our extraordinary teams building inspiring projects in our Impact Report. 

Job Summary:

We are seeking a talented and driven Senior Data Scientist to join our Finance Transformation and AI team, where you’ll play a critical role in driving strategic financial decisions through advanced analytics, machine learning, and automation. This position blends financial acumen with cutting-edge data science techniques to optimize forecasting, planning, risk modeling, and capital strategy.

You will work closely with finance, product, and information technology teams to design scalable solutions that solve complex business problems, uncover actionable insights, and improve data-driven decision-making. #LI-HB1 #LI-Hybrid

This position is a full-time position designated as part-time telework (hybrid) per our global telework policy and may require at least three days of in-person attendance per week at the assigned office or project. Weekly in-person schedules will be determined by the individual and their supervisor, in consultation with functional or project leadership.

Major Responsibilities:

• Lead the development and deployment of machine learning models and statistical forecasting algorithms to support work processes of various finance teams including financial planning and analysis, treasury, tax and more,
• Build scalable financial simulation tools and scenario analysis engines for treasury, risk, and business planning teams.
• Translate business problems into quantitative approaches and present findings to senior stakeholders with clear, data-driven narratives.
• Collaborate cross-functionally with finance, product, and technology teams to ensure solutions are aligned with business objectives.
• Mentor other financial analytics team and support peer review of models, code, and experiments.
• Maintain and improve model performance through monitoring, validation, and documentation aligned with model governance frameworks.

Education and Experience Requirements:

• Bachelor’s degree in computer science, Data Science, Applied Mathematics, Statistics, Finance, Economics, or related field with 6+ years of relevant experience; or Master’s degree in one of the above fields with 3+ years of re