Senior eDiscovery Analytics Lead providing electronic discovery technical support for federal agency. Collaborating on strategic and legal aspects using Relativity for complex cases.
Responsibilities
As a Senior eDiscovery Analytics Lead, provide electronic discovery technical support and assist with strategic and legal aspects using Relativity.
Perform analysis, development, and implementation of processing approaches for electronic files.
Consult with attorneys and support staff for conforming to ESI specifications and participate in teleconferences with co-counsel, client agencies, and opposing counsel upon attorney request.
Responsible for ensuring that incoming and outgoing productions are made pursuant to the applicable ESI specifications and provides case attorney with detailed notice of deficiencies.
Perform advanced analytics in Relativity.
Create, troubleshoot, and repair Active Learning Projects in Relativity.
Provide input on technology options to respond to specific discovery.
Create statistical reports providing information on collection, filtering, processing, review, and production.
Maintain current knowledge of available software applications in the area(s) of expertise.
Generate custom PowerShell scripts.
Create/support Case Map / Text Map databases.
Requirements
A minimum of 5 years of experience providing eDiscovery services and litigation support on complex and large cases involving complex eDiscovery challenges.
Thorough knowledge of the litigation discovery process, and the EDRM workflow.
Advanced knowledge of Relativity (front end and back end).
Demonstrated ability to generate complex PowerShell scripts.
Advanced hands-on experience with Active Learning.
Have demonstrated exceptional written and verbal communication skills.
Possess detailed planning and organizational skills and have a thorough understanding of processes at each stage of the eDiscovery lifecycle.
Prior knowledge and experience managing eDiscovery projects and related technologies is required.
Ability to work in a fast-paced environment and meet deadlines.
Work as part of a team to be able to manage complex relationships with all stakeholders.
Be well organized, a strong communicator, detail-oriented, demonstrate good judgment, and be confident working independently.
Undergraduate degree required and 5+ years of prior relevant experience. Law degree, technical certification, or other pertinent graduate degree strongly preferred.
Must be a United States Citizen.
Benefits
Health, Dental, and Vision
Life Insurance
401k
Flexible Spending Account (Health, Dependent Care, and Commuter)
Paid Time Off and Observance of State/Federal Holidays
Data Scientist responsible for modeling and analyzing credit risk at CAIXA Consórcio. Utilizing data - driven insights to support strategic decision - making in credit operations.
Data Scientist optimizing payments ecosystem for Preply, enhancing user experience through data - driven insights. Collaborating with teams to improve payment processes and fraud management.
Staff Data Scientist at Preply developing data strategies for product domains. Collaborating with executives to drive long - term strategy and experimentation frameworks.
Data Manager leading data strategy and governance for Global Payments Solutions at Bank of America. Managing data architecture aligning with business and regulatory needs while overseeing complex data ecosystems.
Data Scientist developing and implementing LLM - based agents and leveraging AI techniques to improve client value. Collaborating on project challenges in a dynamic, start - up environment at Gartner.
Data Scientist in AI SaaS integrating 100+ systems for a European unicorn - in - the - making. Ensure scalability, security, and performance in a high - growth environment.
Data Science Intern working on AI - driven recipe and hardware optimization problems in semiconductor processes. Developing machine learning models and collaborating with engineering teams for innovative solutions.
Senior Data Scientist at LexisNexis developing AI - driven solutions for legal analytics. Collaborating with teams to implement machine learning models and monitor performance metrics.
Product Analyst for a leading media tech company managing SEO - friendly content and commercial campaigns. Collaborate with teams for digital content production and user engagement analysis.
Data Scientist at Capital One leveraging machine learning models for credit underwriting decisions. Partnering with data scientists, engineers, and product managers using advanced technologies.