Hiring: Digital Forensics Engineer Company: FTI Consulting Location: Washington, DC Job Posted Time: 2026-09-10 12:09:44 Employment Type: Full-time Target Skills & Keywords : AWS, Azure, GCP, Machine Learning, NLP, PyTorch, Python, R, Slack, scikit-learn About the job Experience: •5 years experience related to industries or services related to the Electronic Discovery Reference Model, and familiarity with forensic technology software Required Skills: •The ideal candidate will have a combination of background and experiences across information governance, digital forensics, electronic discovery, and data analytics. This is a unique opportunity to leverage your technical expertise and leadership skills to drive business growth and deliver high-quality services to our clients. •Partner cross-functionally with stakeholders to scope project goals, define success metrics, and communicate insights in a clear, compelling manner •Act as a forensic technology lead in delivering end-to-end machine learning and data science solutions to enterprise clients across various industries •Design, develop, and deploy predictive models, statistical algorithms, and custom machine learning pipelines using customized programming techniques •Present technical findings and recommendations to non-technical audiences including C-suite stakeholders and law firm partners •Build reusable quantitative components, templates, and accelerators using to enable scalable delivery across client engagements •Develop and deliver training programs for clients and internal teams on forensic automation and cognitive technologies •As you progress through your career at FTI Consulting, we offer tailored programs for critical professional milestones to ensure you are prepared and empowered to take on your next role. Qualifications: •Bachelor's degree in a quantitative discipline (e.g., Computer Science, Economics, Engineering, Mathematics) or related field •Fluency in Python and hands-on experience creating customized solutions leveraging advanced Python packages (e.g., scikit-learn, PyTorch , statsmodels ) •Demonstrable expertise navigating cloud-based enterprise systems (e.g., M365, Google Workspace, Slack) •Hands-on experience developing, tuning, and validating machine learning models, including hyperparameter optimization, feature selection methods, cross-validation, error analysis, bias-variance tradeoff management, model interpretability, and robustness and performance monitoring •Strong communication skills with the ability to align client needs with functional solutions, and effectively communicate technical information to non-technical stakeholders •Master's degree in Computer Science , Economics, Engineering, Mathematics, or a related quantitative field •Operational familiarity with forensic technology software (e.g., EnCase, Axiom, Cellebrite, NUIX, Relativity, and Reveal) •Fluency in R, particularly as it relates to data visualization and statistical programming •Deep expertise in machine learning algorithms and statistical modeling •Applicants must be currently authorized to work in the United States on a full-time basis; this position does not provide visa sponsorship Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!