Digital Forensics, Automation Engineering Director
Core
Lead a team delivering customized machine learning and data science solutions to streamline digital investigations and enhance electronic evidence discovery for forensic, legal, and investigative clients.
Role type
Director, Forensic Automation and Cognitive Technology
Builds
End-to-end ML pipelines, predictive models, statistical algorithms, and reusable quantitative components for enterprise clients
Domain
Digital Forensics, Electronic Discovery, Data Analytics, Cloud Computing
Deliverable
production ML models
Required skills
Python (scikit-learn, Pytorch, statsmodels), Machine Learning (model development, tuning, validation, hyperparameter optimization), Cloud platforms (AWS, GCP, Azure), APIs, Data Analytics, Client Consulting, People Management
Preferred skills
R (data visualization, statistical programming), Forensic technology software (EnCase, Axiom, Cellebrite, NUIX, Relativity, Reveal), Advanced ML algorithms (NLP, time series, clustering)
Responsibilities
Scope project goals and define success metrics with stakeholders; Act as forensic technology lead delivering ML solutions; Design and deploy predictive models and custom ML pipelines; Present technical findings to C-suite and law firm partners; Build reusable quantitative components and accelerators; Develop training programs for clients and internal teams
Seniority
Director, strategic leadership with hands-on technical execution
