Bechtel Oil, Gas & Chemicals Incorporated
Data Scientist - Finance
Bechtel Oil, Gas & Chemicals Incorporated, Olympia, Washington, United States
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.
We are seeking a talented and driven Data Scientist to join our Finance Transformation and Al 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.
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 2-3 years of relevant experience; or Master's degree in one of the above fields. Required Knowledge and Skills:
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. Preferred Qualifications: 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. What We Offer:
Bechtel offers a competitive total rewards package that includes comprehensive medical, dental, and vision plans, along with optional disability and supplemental insurance options, generous paid time off, nine paid holidays, paid parental leave, discretionary bonuses, and a well-designed 401K plan with matching and profit-sharing components. Diversity and Inclusion:
We are committed to being a company where every colleague feels that they belong-where colleagues feel part of "One Team," respected and rewarded for what they bring, supported in pursuing their goals, invested in our values and purpose, and treated equitably. Bechtel is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, disability, citizenship status (except as authorized by law), protected veteran status, genetic information, and any other characteristic protected by federal, state or local law.
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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 2-3 years of relevant experience; or Master's degree in one of the above fields. Required Knowledge and Skills:
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. Preferred Qualifications: 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. What We Offer:
Bechtel offers a competitive total rewards package that includes comprehensive medical, dental, and vision plans, along with optional disability and supplemental insurance options, generous paid time off, nine paid holidays, paid parental leave, discretionary bonuses, and a well-designed 401K plan with matching and profit-sharing components. Diversity and Inclusion:
We are committed to being a company where every colleague feels that they belong-where colleagues feel part of "One Team," respected and rewarded for what they bring, supported in pursuing their goals, invested in our values and purpose, and treated equitably. Bechtel is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, disability, citizenship status (except as authorized by law), protected veteran status, genetic information, and any other characteristic protected by federal, state or local law.
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