Bechtel Corporation
Data Scientist (Finance) - Bechtel Corporation
We are seeking a talented and driven 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. This position is designated as part-time telework per our global telework policy and will 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 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 Total Rewards/Benefits
Bechtel offers a robust benefits package to ensure our people thrive. Learn more about Bechtel Total Rewards. Diversity And Inclusion
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. Applicants with a disability who require a reasonable accommodation for any part of the application or hiring process may email their request to acesstmt@bechtel.com Seniority level
Mid-Senior level Employment type
Part-Time Job function
Engineering and Information Technology Industries Construction For more information about this role and other Data Scientist opportunities in Washington, DC, apply through the Bechtel Careers site.
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We are seeking a talented and driven 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. This position is designated as part-time telework per our global telework policy and will 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 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 Total Rewards/Benefits
Bechtel offers a robust benefits package to ensure our people thrive. Learn more about Bechtel Total Rewards. Diversity And Inclusion
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. Applicants with a disability who require a reasonable accommodation for any part of the application or hiring process may email their request to acesstmt@bechtel.com Seniority level
Mid-Senior level Employment type
Part-Time Job function
Engineering and Information Technology Industries Construction For more information about this role and other Data Scientist opportunities in Washington, DC, apply through the Bechtel Careers site.
#J-18808-Ljbffr