Bechtel is looking to solve complex business problems within finance through advanced analytics, machine learning, and automation to optimize forecasting, planning, risk modeling, and capital strategy.
Requirements
- Strong programming skills in Python and SQL; experience with R, Spark, or Scala is a plus.
- Deep understanding of machine learning, time series analysis, and statistical modeling (e.g. XGBoost, ARIMA, GLMs, RNN, LSTM).
- Experience with cloud platforms (Azure, AWS, or GCP) data pipelines, and model deployment in production.
- Proficiency with financial data, including general ledger systems, expense modeling, and forecasting.
- Familiarity with FP&A systems, financial KPIs, capital planning, and regulatory frameworks.
- Strong business acumen to link data science initiatives to ROI or strategic goals.
- Proven success in leading complex projects from concept to deployment in a matrixed organization.
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.
Other
- Part-Time Telework
- At least three days of in-person attendance per week at the assigned office or project.
- Bachelor's degree in computer science, Data Science, Applied Mathematics, Statistics, Finance, Economics, or related field with 2-3 years of relevant experience; or Master's degree in one of the above fields.
- Ability to present findings to senior stakeholders.
- Collaborate cross-functionally with finance, product, and technology teams.
