Digital Forensics, Automation Engineering Director

About FTI Consulting FTI Consulting is the leading global expert firm for organizations facing crisis and transformation, with more than 8,100 employees in 32 countries and territories. Our professionals work closely with clients to anticipate, illuminate and overcome complex business challenges and make the most of opportunities.

FTI Consulting

Corporate Finance & RestructuringEconomic ConsultingForensic & Litigation ConsultingStrategic CommunicationsTechnologyHealthcare & Life SciencesCybersecurityESG & SustainabilityBusiness TransformationPrivate Equity

F

fticonsulting.com

5,001-10,000 employees

Business Consulting and Services

Washington, DC

Public Company

435k LinkedIn followers

• Collaborate 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
• We are committed to investing and supporting you in your professional development and we have developed a range of programs focused on fostering leadership, growth and development opportunities. We aim to promote continuous learning and individual skills development through on-the-job learning, self-guided professional development courses and certifications. You'll be assigned a dedicated coach to mentor, guide and support you through regular coaching sessions and serve as an advocate for your professional growth.
• 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.

Required

• 5 years experience related to industries or services related to the Electronic Discovery Reference Model, and familiarity with forensic technology software
• 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 )
• Experience with APIs and ability to independently collect, integrate, and analyze data from cloud platforms (e.g., AWS, GCP, Azure)
• 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
• Client-facing consulting experience
• Experienced managing people on fast-moving, high-profile engagements

Preferred

• Master's degree in Computer Science , Economics, Engineering, Mathematics, or a related quantitative field
• 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 (regression, classification, clustering, time series, NLP, etc.) and statistical modeling

• Minimum Pay: $123,500
• Maximum Pay: $182,000
• Compensation Disclosure: The compensation range reflects potential base salary for the role. Actual compensation is determined based on a wide array of relevant factors including market considerations, business needs, and an individual’s location, skills, level of experience, and qualifications.